☆ 4.7 Review

A Review on Viewpoints and Path Planning for UAV-Based 3-D Reconstruction

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2023)

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Article Engineering, Electrical & Electronic

Optimized Views Photogrammetry: Precision Analysis and a Large-Scale Case Study in Qingdao

Qingquan Li et al.

Summary: Unmanned aerial vehicles have become widely used in remote sensing and are critical in the construction of smart cities. However, urban environments pose challenges for secure and accurate data acquisition for 3D modeling. This study presents optimized views photogrammetry as a solution and verifies its precision and potential in large-scale 3D modeling.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2023)

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Article Computer Science, Artificial Intelligence

Topology-based UAV path planning for multi-view stereo 3D reconstruction of complex structures

Zhexiong Shang et al.

Summary: This paper presents a new UAV path planning method for generating high-quality 3D reconstruction models of large and complex structures. The method incorporates topology information and decomposes the path planning problem into overlapped view optimization problems, which can be processed in parallel. It achieves a reduction in computation cost and improves reconstruction quality compared to existing methods. The approach also offers higher-level automation and eliminates the need for redundant camera initialization.

COMPLEX & INTELLIGENT SYSTEMS (2023)

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Article Construction & Building Technology

A UAV-based explore-then-exploit system for autonomous indoor facility inspection and scene reconstruction

Chuanxiang Gao et al.

Summary: Traditional indoor facility inspections have limitations in terms of logistics, labor, cost, and safety. Unmanned aerial vehicles (UAVs) are being considered as a promising alternative for manual inspection, but indoor localization and flight safety pose challenges. This paper presents a UAV-based explore-then-exploit system that addresses these challenges and enables autonomous data collection and scene reconstruction in indoor facilities. The system includes hardware integration, simultaneous localization and mapping (SLAM) for UAV localization and 3D mapping, safety-guaranteed path planning, and obstacle-aware trajectory generation. The system is evaluated in GPS-denied and cluttered indoor environments, demonstrating accurate positioning and efficient reconstruction.

AUTOMATION IN CONSTRUCTION (2023)

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Article Robotics

View Path Planning via Online Multiview Stereo for 3-D Modeling of Large-Scale Structures

Soohwan Song et al.

Summary: This study proposes a novel view-path-planning method for 3-D scanning based on an online MVS reconstruction algorithm, which incrementally reconstructs the target model online and iteratively plans view paths by analyzing the current partial reconstructions. The method can construct a complete 3-D model in a single scanning trial without the need for rescanning.

IEEE TRANSACTIONS ON ROBOTICS (2022)

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Review Geography, Physical

UAV in the advent of the twenties: Where we stand and what is next

F. Nex et al.

Summary: This paper reviews best practices for the use of UAVs in remote sensing and mapping applications, emphasizes the need for interdisciplinary research, explores the future trends and impacts of UAVs in photogrammetry and remote sensing.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2022)

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Review Engineering, Marine

A survey on the application of path-planning algorithms for multi-rotor UAVs in precision agriculture

Amin Basiri et al.

Summary: This paper provides a comprehensive literature review on path-planning problems for multi-rotor UAVs, with a focus on the related research in Precision Agriculture. It serves as a unified and accessible guide for researchers who are initiating their endeavors in this subject.

JOURNAL OF NAVIGATION (2022)

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Article Computer Science, Artificial Intelligence

Viewpoint placement for inspection planning

Petra Gospodnetic et al.

Summary: Inspection planning approaches have mainly focused on automatically obtaining optimal viewpoints for covering a given object. However, these plans are difficult to verify and compare to laboratory-developed plans, which has hindered their integration into everyday inspection system development. In this paper, we provide an overview of generate-and-test approaches, evaluate their results for different objects, and compare them to plans created by inspection system development experts. The comparison highlights both the benefits and downsides of automated approaches, and identifies future challenges for making automated inspection planning more applicable.

MACHINE VISION AND APPLICATIONS (2022)

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Article Engineering, Civil

Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization

Pengdi Huang et al.

Summary: Autonomous 3D acquisition of outdoor environments presents unique challenges, requiring both discrete and continuous optimization for energy-efficient scanning. The approach involves computing a topological map and optimizing traverse paths between visit sites.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

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Article Robotics

SCVP: Learning One-Shot View Planning via Set Covering for Unknown Object Reconstruction

Sicong Pan et al.

Summary: This paper proposes a neural network-based approach for view planning, utilizing set covering training to pre-learn prior knowledge and achieve one-shot view planning. The method outperforms state-of-the-art approaches in terms of movement cost and inference time, while achieving similar or better surface coverage.

IEEE ROBOTICS AND AUTOMATION LETTERS (2022)

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Article Robotics

A Shadowcasting-Based Next-Best-View Planner for Autonomous 3D Exploration

Ana Batinovic et al.

Summary: This letter addresses the problem of autonomous exploration of unknown environments with an aerial robot equipped with a sensory set that produces large point clouds, such as LiDARs. The proposed planner relies on a novel and efficient gain calculation and uses a cuboid-based evaluation method to determine the Next-Best-View (NBV). The approach outperforms the current state-of-the-art in terms of computational efficiency and total exploration time.

IEEE ROBOTICS AND AUTOMATION LETTERS (2022)

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Article Robotics

Deep Learning-Based Complete Coverage Path Planning With Re-Joint and Obstacle Fusion Paradigm

Tingjun Lei et al.

Summary: This study proposes a hierarchical framework for navigation problems in unknown environments. It uses satellite images and deep learning to generate paths, integrates obstacle information from unmanned aerial vehicle sensors, utilizes a nature-inspired algorithm for obstacle avoidance, and employs lidar equipment for dynamic obstacle avoidance. Simulated experiments validate the effectiveness and robustness of this framework.

FRONTIERS IN ROBOTICS AND AI (2022)

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Article Chemistry, Analytical

UAV Path Planning Algorithm Based on Improved Harris Hawks Optimization

Ran Zhang et al.

Summary: This paper proposes a UAV path planning algorithm based on improved Harris Hawks Optimization (HHO). By establishing a 3D mission space model and a flight path cost function, the path planning problem is transformed into a multidimensional function optimization problem. In the improved HHO algorithm, the Cauchy mutation strategy and adaptive weight are introduced to increase population diversity, expand the search space, and improve search ability. In addition, the Sine-cosine Algorithm (SCA) is used to gradually converge to the optimal solution and reduce the possibility of falling into local extremum. Simulation results show that the proposed algorithm has high optimization accuracy, convergence speed, and robustness, and can generate more optimized path planning results for UAVs.

SENSORS (2022)

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Article Environmental Sciences

Flight Planning for Survey-Grade 3D Reconstruction of Truss Bridges

Zhexiong Shang et al.

Summary: This paper proposes a new flight planning method for autonomous and efficient data acquisition and 3D reconstruction on truss structures. The method effectively addresses the self-occlusion problem by determining a minimal set of viewpoints and considering UAV constraints, and shows superior performance in evaluations.

REMOTE SENSING (2022)

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Article Geochemistry & Geophysics

Unmanned Aerial Vehicle-Based Photogrammetric 3D Mapping A survey of techniques, applications, and challenges

San Jiang et al.

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2022)

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Article Remote Sensing

Microdrone-Based Indoor Mapping with Graph SLAM

Samer Karam et al.

Summary: This article presents a low-cost SLAM-based drone for creating exploration maps of building interiors. The experimental results indicate that the system is capable of creating quality exploration maps of small indoor spaces and handling the loop-closure problem.

DRONES (2022)

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Article Construction & Building Technology

BIM-supported scan and flight planning for fully autonomous LiDAR-carrying UAVs

Changhao Song et al.

Summary: This study developed a Building Information Model (BIM)-supported framework to facilitate scan planning and motion planning of autonomous LiDAR-carrying UAVs. Through validation in a simulated construction scenario of water treatment facilities, the planned trajectory demonstrated smoothness, energy efficiency, and sufficient scan coverage.

AUTOMATION IN CONSTRUCTION (2022)

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Article Computer Science, Information Systems

Learning-Based UAV Path Planning for Data Collection With Integrated Collision Avoidance

Xueyuan Wang et al.

Summary: This article discusses the challenging task of determining collision-free trajectory in multi-UAV noncooperative scenarios while collecting data from distributed IoT nodes. The problem is translated into a Markov decision process and a Dueling double deep Q-network algorithm is proposed to learn the decision-making policy. Numerical results demonstrate efficient real-time navigation in various scenarios.

IEEE INTERNET OF THINGS JOURNAL (2022)

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Article Computer Science, Software Engineering

Learning Reconstructability for Drone Aerial Path Planning

Yilin Liu et al.

Summary: The study introduces a new learning-based reconstructability predictor for large-scale 3D urban scene acquisition using unmanned drones. By predicting scene reconstructability through model construction, drone path planning can be guided more accurately compared to heuristic approaches.

ACM TRANSACTIONS ON GRAPHICS (2022)

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Proceedings Paper Automation & Control Systems

Where to Look Next: Learning Viewpoint Recommendations for Informative Trajectory Planning

Max Lodel et al.

Summary: This paper presents an information-aware policy trained through deep reinforcement learning to guide a trajectory optimization planner for information gathering in search missions. In simulation tests, the method performs well and outperforms existing methods in multiple aspects.

2022 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2022) (2022)

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Proceedings Paper Computer Science, Artificial Intelligence

Capturing, Reconstructing, and Simulating: The UrbanScene3D Dataset

Liqiang Lin et al.

Summary: UrbanScene3D is a large-scale data platform for research on urban scene perception and reconstruction. It includes a vast collection of high-resolution images, LiDAR scans, and image sets with various observation patterns. The dataset provides a comprehensive benchmark for designing and evaluating aerial path planning and 3D reconstruction algorithms. Additionally, the simulator with a physical engine and lighting system allows for simulating vehicles or drones in the proposed urban environment for future research.

COMPUTER VISION, ECCV 2022, PT VIII (2022)

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Proceedings Paper Geography, Physical

MICRO AND MACRO QUADCOPTER DRONES FOR INDOOR MAPPING TO SUPPORT DISASTER MANAGEMENT

S. Karam et al.

Summary: This paper presents the operations and mapping techniques of two drones used for mapping indoor spaces. Both the Crazyflie and MAX drones are capable of mapping cluttered indoor environments and providing sufficient point clouds for quick exploration. The results show that the LIDAR scanner-based system can handle larger office environments with minimal drift, while the Crazyflie drone performs well given its limited sensor configuration.

XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION I (2022)

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Proceedings Paper Engineering, Aerospace

Spiral Trajectories for Building Inspection with Quadrotors

Juan Irving Vasquez-Gomez et al.

Summary: Inspecting large buildings is crucial for preventing losses. Our proposed method computes a smooth trajectory for a quadrotor vehicle equipped with sensors, based on a 2.5D model of the target building. The Fourier series-based trajectory reduces high frequency movement, making it efficient and applicable to buildings of various shapes.

2022 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS) (2022)

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Proceedings Paper Engineering, Aerospace

Path Planning with Potential Field-Based Obstacle Avoidance in a 3D Environment by an Unmanned Aerial Vehicle

Ana Batinovic et al.

Summary: This paper addresses the problem of path planning for an aerial robot in unknown environments. The proposed algorithm performs real-time obstacle avoidance using 3D sensors, and utilizes a rotation-based component to avoid local minima. Smooth trajectory following with an MPC tracker enables quick changes and re-planning of the UAV trajectory.

2022 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS) (2022)

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Proceedings Paper Computer Science, Artificial Intelligence

A View Planning Method for 3D Reconstruction with Unknown Feature Prediction

Yanzi Kong et al.

Summary: Active reconstruction is an intelligent perception problem that aims to optimize modeling efficiency by adjusting the configuration of a vision system on a robotic platform automatically. It considers features as local surfaces with similar characteristics, and utilizes prior information to guide view planning. A hybrid optimization function is proposed to take various factors into account.

2022 8TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND ROBOTICS ENGINEERING (ICMRE 2022) (2022)

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Article Geochemistry & Geophysics

Unmanned Aerial Vehicle-Based Photogrammetric 3D Mapping A survey of techniques, applications, and challenges

San Jiang et al.

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2022)

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Article Robotics

A Multi-Resolution Frontier-Based Planner for Autonomous 3D Exploration

Ana Batinovic et al.

Summary: The letter proposes a planner for 3D exploration using state-of-the-art sensors like LiDAR, based on frontier detection and clustering techniques to select the best points for exploration. The planner is more scalable than existing approaches, relying on mapping algorithm data and utilizing Octree environment representation for frontier point clustering. Tested in simulation and outdoor environments, the results demonstrate advantages over current approaches.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

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Article Computer Science, Software Engineering

Continuous Aerial Path Planning for 3D Urban Scene Reconstruction

Han Zhang et al.

Summary: The study introduces the first path-oriented drone trajectory planning algorithm, which optimizes path quality and scene reconstruction quality by performing continuous image acquisition along an aerial path. The algorithm, based on three optimization objectives, effectively reduces onsite acquisition cost using drones and achieves high-fidelity 3D reconstruction.

ACM TRANSACTIONS ON GRAPHICS (2021)

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Article Computer Science, Software Engineering

Aerial Path Planning for Online Real-Time Exploration and Offline High-Quality Reconstruction of Large-Scale Urban Scenes

Yilin Liu et al.

Summary: The study introduces a real-time explore-and-reconstruct planning algorithm that can reconstruct 3D models of urban environments without prior knowledge of scene geometry, reducing reconstruction costs and simplifying the operation process.

ACM TRANSACTIONS ON GRAPHICS (2021)

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Article Computer Science, Artificial Intelligence

An enhanced genetic algorithm for path planning of autonomous UAV in target coverage problems

Y. Volkan Pehlivanoglu et al.

Summary: This paper addresses the path planning problem of autonomous UAV in target coverage problems using artificial intelligent methods such as genetic algorithm, ant colony optimizer, Voronoi diagram, and clustering methods. The proposed enhancement methods in GA accelerate the convergence process, while the integration of collision points of cluster centers provides the best result in avoiding crashes with terrain surfaces.

APPLIED SOFT COMPUTING (2021)

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Article Computer Science, Software Engineering

FlyFusion: Realtime Dynamic Scene Reconstruction Using a Flying Depth Camera

Lan Xu et al.

Summary: This paper presents a novel dynamic fusion scheme called FlyFusion, using a single flying depth camera, which successfully enables intelligent viewpoint selection and produces fused and denoised 3D geometry and motions.

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2021)

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Article Computer Science, Artificial Intelligence

A novel hybrid particle swarm optimization for multi-UAV cooperate path planning

Wenjian He et al.

Summary: The study introduces a novel approach for optimal path planning for multiple UAVs in complex environments using the HIPSO-MSOS algorithm, which combines different optimization strategies to enhance performance and reliability. Experimental results demonstrate the superior performance of the HIPSO-MSOS algorithm in multi-objective optimization problems, successfully generating effective paths.

APPLIED INTELLIGENCE (2021)

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Article Environmental Sciences

Sampling-Based Path Planning for High-Quality Aerial 3D Reconstruction of Urban Scenes

Feihu Yan et al.

Summary: This study proposes a novel path planning method for high-quality aerial 3D reconstruction of urban scenes, which involves capturing aerial photos to generate a coarse 3D model, evaluating and generating optimized paths. Experimental results suggest a significant improvement in the performance of aerial 3D urban reconstruction using the proposed method.

REMOTE SENSING (2021)

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Article Chemistry, Multidisciplinary

Autonomous Environment Generator for UAV-Based Simulation

Justin Nakama et al.

Summary: This paper introduces a new testing platform that utilizes machine learning algorithms to generate realistic environments, based on satellite images and providing examples of real-world UAV deployment.

APPLIED SCIENCES-BASEL (2021)

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Article Chemistry, Multidisciplinary

Optimization of Photogrammetric Flights with UAVs for the Metric Virtualization of Archaeological Sites. Application to Juliobriga (Cantabria, Spain)

Julio Manuel de Luis-Ruiz et al.

Summary: This research uses the Taguchi Design of Experiments Method to investigate the impact of four parameters on the creation of the best three-dimensional models of heritage sites, ultimately identifying the optimal parameter combination. The results suggest that the inclination angle has the most significant impact on model accuracy, indicating that nadiral flights should be used to achieve more precise models.

APPLIED SCIENCES-BASEL (2021)

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Article Computer Science, Software Engineering

VGF-Net: Visual-Geometric fusion learning for simultaneous drone navigation and height mapping

Yilin Liu et al.

Summary: This paper introduces a Visual Geometric Fusion Network (VGF-Net) for drone navigation in novel environments, which extracts visual and geometric information to construct 2.5D height maps. The system demonstrates remarkable robustness and high accuracy in autonomous drone navigation across complex indoor and large-scale outdoor scenes.

GRAPHICAL MODELS (2021)

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Article Robotics

Informed Sampling Exploration Path Planner for 3D Reconstruction of Large Scenes

Yves Kompis et al.

Summary: The study proposes an online path-planning algorithm for fast exploration and 3D reconstruction of unknown areas, utilizing informed sampling techniques to achieve higher efficiency. Results show that the method outperforms existing exploration path planners in terms of speed and reconstruction quality.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

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Article Chemistry, Analytical

UAV Photogrammetry under Poor Lighting Conditions-Accuracy Considerations

Pawel Burdziakowski et al.

Summary: The authors of this paper discuss the potential and challenges of using UAV photogrammetry during darker time of the day, highlighting the differences in day- and night-time photogrammetric models and factors affecting them. They also present conclusions based on their comparisons of the two models.

SENSORS (2021)

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Article Environmental Sciences

An Imaging Network Design for UGV-Based 3D Reconstruction of Buildings

Ali Hosseininaveh et al.

Summary: The paper introduces a novel photogrammetric algorithm for imaging network design for 3D reconstruction purposes, including the generation of candidate viewpoints and the clustering and selection of vantage viewpoints. The methodology is implemented and evaluated in both simulation and real-world experiments, showing that the fusion of centre & facade pointing approach is more efficient in terms of accuracy and completeness criteria.

REMOTE SENSING (2021)

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Article Robotics

Ground-Aware Monocular 3D Object Detection for Autonomous Driving

Yuxuan Liu et al.

Summary: This research presents an innovative neural network module for 3D object detection, utilizing ground plane cues and application-specific priors effectively. The proposed networks achieve state-of-the-art performances on the KITTI benchmarks for 3D object detection and depth prediction.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

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Article Chemistry, Analytical

Unmanned Aerial Vehicles (UAVs) for Physical Progress Monitoring of Construction

Nicolas Jacob-Loyola et al.

Summary: This research proposes a method for recording the actual progress of a construction site through manual operation of UAVs and the use of point clouds obtained under photogrammetric techniques, which is then compared with actual progress in a 4D BIM environment. The results demonstrate the effectiveness of this method for UAV operation and monitoring actual progress.

SENSORS (2021)

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Article Multidisciplinary Sciences

Model-based analysis of multi-UAV path planning for surveying postdisaster building damage

Ryosuke Nagasawa et al.

Summary: Emergency responders need accurate and comprehensive data for informed decision-making, especially when it comes to assessing building damage and estimating long-term shelter capacities post-disaster. A multi-UAV coverage path planning method has been proposed and implemented, utilizing clustering and route optimization to generate high-quality 3D models of damaged buildings.

SCIENTIFIC REPORTS (2021)

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Article Chemistry, Multidisciplinary

Machine Learning Approach to Real-Time 3D Path Planning for Autonomous Navigation of Unmanned Aerial Vehicle

Abera Tullu et al.

Summary: The demand for civilian use of UAVs has increased significantly in recent years, requiring them to be equipped with sensors and artificial intelligence for risk avoidance and autonomous navigation. This study proposes a real-time path planner that can quickly and lightly find obstacle-free paths for UAVs.

APPLIED SCIENCES-BASEL (2021)

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Proceedings Paper Automation & Control Systems

Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation

Felix Stache et al.

Summary: This paper addresses adaptive path planning for accurate semantic segmentation of terrain using UAVs, proposing an online planning algorithm to adapt UAV paths for high-resolution segmentations. A key feature is a new accuracy model for deep learning-based architectures, evaluated on crop/weed segmentation in precision agriculture with real-world data.

10TH EUROPEAN CONFERENCE ON MOBILE ROBOTS (ECMR 2021) (2021)

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Proceedings Paper Automation & Control Systems

Viewpoint Planning for Fruit Size and Position Estimation

Tobias Zaenker et al.

Summary: This study introduces a viewpoint planning method that uses an octree to determine the position and size of fruits on plants. The system automatically switches between ROI targeted sampling and exploration sampling based on estimated utility, successfully estimating the position and size of fruits.

2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2021)

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Proceedings Paper Automation & Control Systems

REAL: Rapid Exploration with Active Loop-Closing toward Large-Scale 3D Mapping using UAVs

Eungchang Mason Lee et al.

Summary: The proposed method in this paper combines pre-calculated Peacock Trajectory with graph-based global exploration and active loop-closing to rapidly and accurately explore and map unknown large-scale environments. By considering kinodynamics of UAVs and utilizing both local and global exploration, the method ensures obstacle avoidance and minimizes unnecessary revisiting, improving pose estimation performance. The performance of the proposed method is verified in 3D simulation environments and validated in a real-world experiment.

2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2021)

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Proceedings Paper Computer Science, Artificial Intelligence

Learning View Selection for 3D Scenes

Yifan Sun et al.

Summary: This paper introduces a novel approach to efficiently represent a 3D object/scene by learning a view prediction network and trainable aggregation module, avoiding dense view sampling and converting the multi-view representation optimization problem into a continuous optimization problem. Experimental results show that this approach achieves similar or better solutions with a 10x speedup in running time compared to standard methods.

2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)

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Review Computer Science, Information Systems

A Comprehensive Review of Coverage Path Planning in Robotics Using Classical and Heuristic Algorithms

Chee Sheng Tan et al.

Summary: This paper discusses the principles, development trends, and optimization methods of coverage path planning, comparing the advantages and disadvantages of existing modeling and suggesting future research directions.

IEEE ACCESS (2021)

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Article Computer Science, Information Systems

Path Planning of UAV Based on Improved Adaptive Grey Wolf Optimization Algorithm

Wei Zhang et al.

Summary: This paper proposes an improved adaptive grey wolf optimization algorithm (AGWO) for UAV path planning in complex environments, which has been verified to be effective through convergence analysis and test function simulation experiments. The AGWO outperforms traditional intelligent algorithms in terms of convergence precision, speed, and stability for 3D trajectory optimization in complex environments.

IEEE ACCESS (2021)

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Article Computer Science, Information Systems

Unmanned Aerial Vehicle Path Planning Algorithm Based on Deep Reinforcement Learning in Large-Scale and Dynamic Environments

Ronglei Xie et al.

Summary: In this article, a deep reinforcement learning approach for three-dimensional path planning without global information is proposed, utilizing local information and relative distance. The recurrent neural network is used to address the partial observability problem, and an action selection strategy combining current reward value and state-action value is developed.

IEEE ACCESS (2021)

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Article Computer Science, Information Systems

Improved Bat Algorithm for UAV Path Planning in Three-Dimensional Space

Xianjin Zhou et al.

Summary: This paper introduces the use of bat algorithm for UAV flight path planning, proposes the improved bat algorithm (IBA) to address the issues of standard bat algorithm, and verifies its performance through simulations in MATLAB environment. The results demonstrate that IBA outperforms traditional algorithms ABC and BA in terms of time and quality of optimal solution, showing higher efficiency and effectiveness.

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A compilation of UAV applications for precision agriculture

Panagiotis Radoglou-Grammatikis et al.

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UAV-Based Structural Damage Mapping: A Review

Norman Kerle et al.

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A Review of Techniques for 3D Reconstruction of Indoor Environments

Zhizhong Kang et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)

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A visual SLAM method based on point-line fusion in weak-matching scene

Baofu Fang et al.

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Online coverage and inspection planning for 3D modeling

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Automatic Pose Generation for Robotic 3-D Scanning of Mechanical Parts

Inhwan Dennis Lee et al.

IEEE TRANSACTIONS ON ROBOTICS (2020)

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Flight Planning for LiDAR-Based UAS Mapping Applications

Bashar Alsadik et al.

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LiDAR-equipped UAV path planning considering potential locations of defects for bridge inspection

Neshat Bolourian et al.

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PC-NBV: A Point Cloud Based Deep Network for Efficient Next Best View Planning

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Real-Time UAV Path Planning for Autonomous Urban Scene Reconstruction

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2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2020)

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Fast Frontier-based Information-driven Autonomous Exploration with an MAV

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2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2020)

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Multi-UAV Coverage Path Planning for the Inspection of Large and Complex Structures

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Surface-driven Next-Best-View planning for exploration of large-scale 3D environments

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A co-optimal coverage path planning method for aerial scanning of complex structures

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EXPERT SYSTEMS WITH APPLICATIONS (2020)

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Review Automation & Control Systems

A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles

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INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING (2020)

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An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments

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IEEE ROBOTICS AND AUTOMATION LETTERS (2020)

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Autonomous Exploration and Mapping System Using Heterogeneous UAVs and UGVs in GPS-Denied Environments

Hailong Qin et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)

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Article Engineering, Electrical & Electronic

Ground Feature Oriented Path Planning for Unmanned Aerial Vehicle Mapping

Chun Liu et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2019)

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Article Computer Science, Artificial Intelligence

Localization uncertainty-aware autonomous exploration and mapping with aerial robots using receding horizon path-planning

Christos Papachristos et al.

AUTONOMOUS ROBOTS (2019)

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Article Agriculture, Multidisciplinary

UAV-based multispectral imagery for fast Citrus Greening detection

Farzaneh DadrasJavan et al.

JOURNAL OF PLANT DISEASES AND PROTECTION (2019)

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Article Environmental Sciences

Automatic and Semantically-Aware 3D UAV Flight Planning for Image-Based 3D Reconstruction

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REMOTE SENSING (2019)

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Plan3D: Viewpoint and Trajectory Optimization for Aerial Multi-View Stereo Reconstruction

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ACM TRANSACTIONS ON GRAPHICS (2019)

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Proceedings Paper Computer Science, Artificial Intelligence

Coverage Path Planning using Path Primitive Sampling and Primitive Coverage Graph for Visual Inspection

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2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2019)

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Applications of multirotor drone technologies in construction management

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INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT (2019)

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Proceedings Paper Automation & Control Systems

Adaptive View Planning for Aerial 3D Reconstruction

Cheng Peng et al.

2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2019)

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Review Multidisciplinary Sciences

A survey on multi-robot coverage path planning for model reconstruction and mapping

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SN APPLIED SCIENCES (2019)

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Receding horizon path planning for 3D exploration and surface inspection

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AUTONOMOUS ROBOTS (2018)

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Review of Unmanned Aerial System (UAS) applications in the built environment: Towards automated building inspection procedures using drones

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AUTOMATION IN CONSTRUCTION (2018)

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Survey on computational-intelligence-based UAV path planning

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KNOWLEDGE-BASED SYSTEMS (2018)

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Window Detection from UAS-Derived Photogrammetric Point Cloud Employing Density-Based Filtering and Perceptual Organization

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REMOTE SENSING (2018)

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Article Computer Science, Software Engineering

Aerial Path Planning for Urban Scene Reconstruction: A Continuous Optimization Method and Benchmark

Neil Smith et al.

ACM TRANSACTIONS ON GRAPHICS (2018)

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Proceedings Paper Computer Science, Theory & Methods

Aerial Path Planning for Urban Scene Reconstruction: A Continuous Optimization Method and Benchmark

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SIGGRAPH ASIA'18: SIGGRAPH ASIA 2018 TECHNICAL PAPERS (2018)

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Contour-based next-best view planning from point cloud segmentation of unknown objects

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AUTONOMOUS ROBOTS (2018)

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A comparison of volumetric information gain metrics for active 3D object reconstruction

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AUTONOMOUS ROBOTS (2018)

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View/state planning for three-dimensional object reconstruction under uncertainty

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AUTONOMOUS ROBOTS (2017)

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Forestry applications of UAVs in Europe: a review

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INTERNATIONAL JOURNAL OF REMOTE SENSING (2017)

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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

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Proceedings Paper Computer Science, Artificial Intelligence

Submodular Trajectory Optimization for Aerial 3D Scanning

Mike Roberts et al.

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)

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Proceedings Paper Computer Science, Artificial Intelligence

A Reinforcement Learning Approach to the View Planning Problem

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30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

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An Adaptable, Probabilistic, Next-Best View Algorithm for Reconstruction of Unknown 3-D Objects

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IEEE ROBOTICS AND AUTOMATION LETTERS (2017)

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Proceedings Paper Computer Science, Interdisciplinary Applications

DEPTH CAMERAS ON UAVs: A FIRST APPROACH

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3D VIRTUAL RECONSTRUCTION AND VISUALIZATION OF COMPLEX ARCHITECTURES (2017)

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A Two-Stage Optimized Next-View Planning Framework for 3-D Unknown Environment Exploration, and Structural Reconstruction

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Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction

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Proceedings Paper Computer Science, Artificial Intelligence

Mask R-CNN

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2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)

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Evolutionary View Planning for Optimized UAV Terrain Modeling in a Simulated Environment

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Orienteering Problem: A survey of recent variants, solution approaches and applications

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ElasticFusion: Real-time dense SLAM and light source estimation

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Review Robotics

A survey on inspecting structures using robotic systems

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INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS (2016)

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Proceedings Paper Computer Science, Artificial Intelligence

UAV-based Autonomous Image Acquisition with Multi-View Stereo Quality Assurance by Confidence Prediction

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PROCEEDINGS OF 29TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, (CVPRW 2016) (2016)

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Speeding-Up Robot Exploration by Exploiting Background Information

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IEEE ROBOTICS AND AUTOMATION LETTERS (2016)

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Autonomous Exploration for Infrastructure Modeling with a Micro Aerial Vehicle

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FIELD AND SERVICE ROBOTICS: RESULTS OF THE 10TH INTERNATIONAL CONFERENCE (2016)

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ORB-SLAM: A Versatile and Accurate Monocular SLAM System

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IEEE TRANSACTIONS ON ROBOTICS (2015)

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Active visual SLAM for robotic area coverage: Theory and experiment

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Real-time large-scale dense RGB-D SLAM with volumetric fusion

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Quality-driven Poisson-guided Autoscanning

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Vision-Controlled Micro Flying Robots From System Design to Autonomous Navigation and Mapping in GPS-Denied Environments

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ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2014)

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OctoMap: an efficient probabilistic 3D mapping framework based on octrees

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AUTONOMOUS ROBOTS (2013)

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Aerial coverage optimization in precision agriculture management: A musical harmony inspired approach

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A survey on coverage path planning for robotics

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View Planning for Multi-View Stereo 3D Reconstruction Using an Autonomous Multicopter

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The orienteering problem: A survey

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Sampling-based algorithms for optimal motion planning

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Active vision in robotic systems: A survey of recent developments

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Square root SAM: Simultaneous localization and mapping via square root information smoothing

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INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2006)

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Automatic camera placement in vision metrology based on a fuzzy inference system

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PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2005)

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Vision sensor planning for 3-D model acquisition

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IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2005)

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Hierarchical SLAM:: Real-time accurate mapping of large environments

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The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications

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