☆ 4.7 Article

A comprehensive survey on non-cooperative collision avoidance for micro aerial vehicles: Sensing and obstacle detection

JOURNAL OF FIELD ROBOTICS (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Artificial Intelligence

Event-Based Vision: A Survey

Guillermo Gallego et al.

Summary: This paper provides a comprehensive overview of event-based vision, focusing on the applications and algorithms developed for event cameras. Event cameras differ from traditional cameras in their asynchronous measurement of per-pixel brightness changes, offering high temporal resolution, very high dynamic range, low power consumption, and high pixel bandwidth. The paper discusses techniques for processing events, including learning-based methods and specialized processors. It also highlights the remaining challenges and opportunities in the field of bio-inspired perception and interaction for machines.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

SAM-Net: Semantic probabilistic and attention mechanisms of dynamic objects for self-supervised depth and camera pose estimation in visual odometry applications

Binchao Yang et al.

Summary: The study proposes a self-supervised learning-based VO framework SAM-Net, which can jointly learn single view depth, camera ego motion, and object detection, incorporating semantic probabilistic fusion and attention mechanism to handle dynamic objects, as well as novel PoseNet and photometric consistency loss to improve pose estimation accuracy.

PATTERN RECOGNITION LETTERS (2022)

添加到收藏夹

Article Engineering, Civil

Practical Control for Multicopters to Avoid Non-Cooperative Moving Obstacles

Quan Quan et al.

Summary: The paper proposes a collision-avoidance control method for non-cooperative moving obstacles for a multicopter using a Lyapunov-like barrier function in altitude hold mode. Formal analysis and proofs demonstrate that the control problem can be solved if the obstacle is slower than the multicopter.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

添加到收藏夹

Article Automation & Control Systems

Real-time identification and avoidance of simultaneous static and dynamic obstacles on point cloud for UAVs navigation

Han Chen et al.

Summary: Avoiding hybrid obstacles in unknown scenarios with an efficient flight strategy is a key challenge for unmanned aerial vehicle applications. In this paper, we introduce a more robust technique to distinguish and track dynamic obstacles from static ones with only point cloud input. Then, to achieve dynamic avoidance, we propose the forbidden pyramids method to solve the desired vehicle velocity with an efficient sampling-based method in iteration.

ROBOTICS AND AUTONOMOUS SYSTEMS (2022)

添加到收藏夹

Review Environmental Sciences

Image-Based Obstacle Detection Methods for the Safe Navigation of Unmanned Vehicles: A Review

Samira Badrloo et al.

Summary: This paper reviews image-based obstacle detection techniques employed by unmanned vehicles, dividing them into monocular and stereo methods. Monocular approaches are suitable for small robots with limited processing power, while stereo methods generate real-time 3D maps for obstacle localization. However, stereo methods have some issues, and deep learning networks have become a key technology for obstacle detection.

REMOTE SENSING (2022)

添加到收藏夹

Article Robotics

GPU-Accelerated Incremental Euclidean Distance Transform for Online Motion Planning of Mobile Robots

Yizhou Chen et al.

Summary: This letter presents a volumetric mapping system that calculates Occupancy Grid Maps (OGMs) and Euclidean Distance Transforms (EDTs) with parallel computing. Unlike other mapping systems for high-precision structural reconstruction, this system incrementally constructs global EDT and outputs local distance information for robot motion planning. It receives various sensor inputs and constructs OGM without down-sampling using GPU programming techniques. Experiments show that this proposed approach outperforms existing robot mapping systems and is suitable for mapping unexplored areas. It achieves real-time performance with limited computational resources in aerial and ground vehicles.

IEEE ROBOTICS AND AUTOMATION LETTERS (2022)

添加到收藏夹

Article Automation & Control Systems

Flight With Limited Field of View: A Parallel and Gradient-Free Strategy for Micro Aerial Vehicle

Hanchen Lu et al.

Summary: In this article, a parallel and gradient-free strategy is proposed for autonomous navigation of a quadrotor with a limited field of view (FOV). The method integrates measurement from a limited-FOV sensor to construct an environment map, selects a feasible local goal, and generates a constraint-free nominal control sequence based on the map. A stochastic optimal control problem is then solved to satisfy the limited FOV constraint, dynamic constraint, and collision-free conditions simultaneously. Both sensing and planning problems are solved parallelly using a lightweight graphics processing unit.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2022)

添加到收藏夹

Article Chemistry, Analytical

An Experimental Assessment of Depth Estimation in Transparent and Translucent Scenes for Intel RealSense D415, SR305 and L515

Eva Curto et al.

Summary: This paper evaluates and compares the performance of three Intel RealSense cameras in scenarios with transparency and translucency, specifically focusing on their depth estimation behavior. The experimental results indicate that Intel RealSense D415 performs the best in terms of statistical variability and valid measurements.

SENSORS (2022)

添加到收藏夹

Article Robotics

OHM: GPU Based Occupancy Map Generation

Kazys Stepanas et al.

Summary: This article introduces a GPU-based OGM framework called OHM, which solves the problem of CPU-based implementations struggling with data rates from modern sensors and maintaining rich voxel representations. The framework supports various modern OGM algorithms and has been evaluated for performance in different environments.

IEEE ROBOTICS AND AUTOMATION LETTERS (2022)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning

Khushdeep S. Mann et al.

Summary: This paper presents a spatio-temporal prediction network pipeline for reliably predicting future occupancy of highly dynamic urban environments. By combining environmental information and semantic labels, the challenges in prediction are effectively addressed. The experiments demonstrate the high prediction accuracy of this approach in complex environments without the need for HD-Maps and explicit modeling dynamic objects.

2022 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) (2022)

添加到收藏夹

Article Robotics

FAITH: Fast Iterative Half-Plane Focus of Expansion Estimation Using Optic Flow

Raoul Dinaux et al.

Summary: Course estimation is crucial for the development of autonomous navigation systems for robots. While most state-of-the-art methods rely on visual-based algorithms, they often struggle to cope with the complexity of the real world, requiring obstacles to be highly textured for improved performance. The FAITH method proposed in this study shows superior computational efficiency and accuracy, making it suitable for autonomous obstacle avoidance and navigation on micro air vehicles (MAVs).

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

添加到收藏夹

Article Robotics

Avoiding Dynamic Small Obstacles With Onboard Sensing and Computation on Aerial Robots

Fanze Kong et al.

Summary: The paper introduces a compact and fully autonomous quadrotor system capable of safely flying in cluttered environments while avoiding dynamic small obstacles, equipped with a 3D lidar sensor and onboard embedded computer to perform estimation, mapping, and planning tasks. The system's perception and planning system can run onboard at 50 Hz, successfully avoiding obstacles as small as 9 mm in diameter while flying at speeds up to 5.5 m/s. The open-sourced codes can be found on Github.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

添加到收藏夹

Article Environmental Sciences

A Robust and Fast Collision-Avoidance Approach for Micro Aerial Vehicles Using a Depth Sensor

Liang Lu et al.

Summary: This article introduces a depth-based collision-avoidance method for aerial robots, enabling high-speed flights in dynamic environments. Experimental results show that the proposed algorithm has robust performance in challenging dynamic environments.

REMOTE SENSING (2021)

添加到收藏夹

Article Robotics

Distance Estimation Using Self-Induced Noise of an Aerial Vehicle

Luke Calkins et al.

Summary: An algorithm is proposed to estimate the distance between an aerial vehicle and a large obstacle using self-induced noise, demonstrating feasibility for real-time altitude control. By placing microphones beneath the vehicle's control system, a cross-correlation processing algorithm is utilized to accurately detect distance to the ground. The method shows robustness in experiments with complex noise sources, representing a novel framework for obstacle sensing onboard aerial vehicles.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

添加到收藏夹

Article Automation & Control Systems

Toward Autonomy of Micro Aerial Vehicles in Unknown and Global Positioning System Denied Environments

Yu Zhou et al.

Summary: This article introduces a comprehensive design and implementation for a micro aerial vehicle (MAV) capable of autonomous 3-D navigation and obstacle avoidance in unknown environments without relying on GPS or external sensors. The MAV utilizes modularized components including visual-inertial odometry, 3-D occupancy mapping, and motion planning. The system is shown to be robust in both simulation and real flight experiments.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

添加到收藏夹

Proceedings Paper Automation & Control Systems

TSDF plus plus : A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction

Margarita Grinvald et al.

Summary: The study introduces a novel multi-object TSDF formulation that can encode multiple object surfaces at any given location in the map, allowing for accurate reconstructions of occluded surfaces in scenarios involving multiple dynamic objects.

2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021) (2021)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance

Jungseok Hong et al.

Summary: The study introduces an obstacle avoidance module that combines visual instance segmentation with depth map technology to allow robots to differentiate obstacles based on their identities, enabling more efficient navigation strategies.

2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021) (2021)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Kernel-Based 3-D Dynamic Occupancy Mapping with Particle Tracking

Youngjae Min et al.

Summary: This paper introduces a kernel-based 3-D dynamic occupancy mapping algorithm that distinguishes between static and dynamic objects while estimating the velocities of dynamic cells. The algorithm formulates the problem in a Bayesian framework and represents the map through Dirichlet distribution to update posteriors in a recursive way with intuitive heuristics. The proposed algorithm demonstrates promising performance in various simulated scenarios in ROS environments.

2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021) (2021)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Obstacle Avoidance onboard MAVs using a FMCW Radar

Nikhil Wessendorp et al.

Summary: Micro Air Vehicles (MAVs) are increasingly used for complex or hazardous tasks in enclosed and cluttered environments, requiring sensors that can operate in poor visibility conditions. Radar sensors provide more robust sensing when traditional sensors fail, yet the use of miniature FMCW radars on MAVs remains relatively unexplored. The study aims to investigate the potential of this sensor in these environments through traditional signal processing techniques.

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

添加到收藏夹

Proceedings Paper Automation & Control Systems

FAST-Dy namic-Vision: Detection and Tracking Dynamic Objects with Event and Depth Sensing

Botao He et al.

Summary: This paper presents a comprehensive perception system for fast-moving dynamic objects in flight, including ego-motion compensation, object detection, and trajectory prediction. The system aims to address the challenge of dodging fast-moving objects in flight with low latency and high precision.

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

添加到收藏夹

Proceedings Paper Automation & Control Systems

Autonomous Flights in Dynamic Environments with Onboard Vision

Yingjian Wang et al.

Summary: This paper introduces a system for autonomous flight of quadrotors in dynamic environments, incorporating an occlusion-aware dynamic perception method based on depth images. The system effectively achieves collision avoidance for quadrotors in dynamic environments through a planning method composed of modified kinodynamic path searching and gradient-based optimization.

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

添加到收藏夹

Article Engineering, Civil

Fast Depth Prediction and Obstacle Avoidance on a Monocular Drone Using Probabilistic Convolutional Neural Network

Xin Yang et al.

Summary: This paper presents a real-time onboard approach for monocular depth prediction and obstacle avoidance with a lightweight probabilistic CNN, which efficiently predicts depth and confidence, generates traversable waypoints, and produces control inputs for drones. Experimental results demonstrate that the method runs faster than state-of-the-art approaches and achieves better depth estimation accuracy, showing superiority in obstacle avoidance in simulated and real environments.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

添加到收藏夹

Article Environmental Sciences

Collision Avoidance of Hexacopter UAV Based on LiDAR Data in Dynamic Environment

Jongho Park et al.

REMOTE SENSING (2020)

添加到收藏夹

Article Robotics

Dynamic obstacle avoidance for quadrotors with event cameras

Davide Falanga et al.

SCIENCE ROBOTICS (2020)

添加到收藏夹

Article Agriculture, Multidisciplinary

UAV environmental perception and autonomous obstacle avoidance: A deep learning and depth camera combined solution

Dashuai Wang et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

添加到收藏夹

Article Robotics

UFOMap: An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown

Daniel Duberg et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2020)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Robust Real-time UAV Replanning Using Guided Gradient-based Optimization and Topological Paths

Boyu Zhou et al.

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

添加到收藏夹

Proceedings Paper Automation & Control Systems

Robust Vision-based Obstacle Avoidance for Micro Aerial Vehicles in Dynamic Environments

Jiahao Lin et al.

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

添加到收藏夹

Proceedings Paper Automation & Control Systems

Autonomous Obstacle Avoidance for UAV based on Fusion of Radar and Monocular Camera

Hang Yu et al.

2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2020)

添加到收藏夹

Proceedings Paper Computer Science, Information Systems

Event-based Vision: Understanding Network Traffic Characteristics

Giulia Attanasio et al.

2020 21ST IEEE INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS (IEEE WOWMOM 2020) (2020)

添加到收藏夹

Article Computer Science, Information Systems

Unmanned Aerial Vehicles (UAVs): Collision Avoidance Systems and Approaches

Jawad N. Yasin et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Robotics

Voxgraph: Globally Consistent, Volumetric Mapping Using Signed Distance Function Submaps

Victor Reijgwart et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2020)

添加到收藏夹

Article Computer Science, Information Systems

VPS-SLAM: Visual Planar Semantic SLAM for Aerial Robotic Systems

Hriday Bavle et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Information Systems

Onboard Detection and Localization of Drones Using Depth Maps

Adrian Carrio et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Chemistry, Analytical

Vision-Based Obstacle Avoidance Strategies for MAVs Using Optical Flows in 3-D Textured Environments

Gangik Cho et al.

SENSORS (2019)

添加到收藏夹

Article Multidisciplinary Sciences

The role of optic flow pooling in insect flight control in cluttered environments

Julien Lecoeur et al.

SCIENTIFIC REPORTS (2019)

添加到收藏夹

Review Environmental Sciences

Unmanned Aerial Vehicle for Remote Sensing Applications-A Review

Huang Yao et al.

REMOTE SENSING (2019)

添加到收藏夹

Review Environmental Sciences

A Review on IoT Deep Learning UAV Systems for Autonomous Obstacle Detection and Collision Avoidance

Paula Fraga-Lamas et al.

REMOTE SENSING (2019)

添加到收藏夹

Article Robotics

Flying on point clouds: Online trajectory generation and autonomous navigation for quadrotors in cluttered environments

Fei Gao et al.

JOURNAL OF FIELD ROBOTICS (2019)

添加到收藏夹

Article Transportation Science & Technology

Collision risk management for non-cooperative UAS traffic in airport-restricted airspace with alert zones based on probabilistic conflict map

C. H. John Wang et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)

添加到收藏夹

Article Robotics

Efficient Autonomous Exploration Planning of Large-Scale 3-D Environments

Magnus Selin et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2019)

添加到收藏夹

Article Robotics

Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery

Margarita Grinvald et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2019)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Small Obstacle Avoidance Based on RGB-D Semantic Segmentation

Minjie Hua et al.

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW) (2019)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

A Study on the Obstacle Recognition for Autonomous Driving RC Car Using LiDAR and Thermal Infrared Camera

Myeon-gyun Cho

2019 ELEVENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2019) (2019)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

FIESTA: Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots

Luxin Han et al.

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

添加到收藏夹

Proceedings Paper Engineering, Electrical & Electronic

Laser-based Collision Avoidance and Reactive Navigation using RRT* and Signed Distance Field for Multirotor UAVs

Liang Lu et al.

2019 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS' 19) (2019)

添加到收藏夹

Review Computer Science, Information Systems

Unmanned Aerial Vehicles in Agriculture: A Review of Perspective of Platform, Control, and Applications

Jeongeun Kim et al.

IEEE ACCESS (2019)

添加到收藏夹

Review Automation & Control Systems

Collision avoidance of multi unmanned aerial vehicles: A review

Sunan Huang et al.

ANNUAL REVIEWS IN CONTROL (2019)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments

Vitor Guizilini et al.

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

添加到收藏夹

Article Computer Science, Artificial Intelligence

Experimental Analysis of Radar Odometry by Commercial Ultralight Radar Sensor for Miniaturized UAS

Antonio Fulvio Scannapieco et al.

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS (2018)

添加到收藏夹

Article Engineering, Aerospace

UAV collision avoidance exploitation for noncooperative trajectory modification

Pietro Pierpaoli et al.

AEROSPACE SCIENCE AND TECHNOLOGY (2018)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Survey of computer vision algorithms and applications for unmanned aerial vehicles

Abdulla Al-Kaff et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)

添加到收藏夹

Article Engineering, Aerospace

A Survey on Quadrotors: Configurations, Modeling and Identification, Control, Collision Avoidance, Fault Diagnosis and Tolerant Control

Hassan Shraim et al.

IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE (2018)

添加到收藏夹

Article Engineering, Industrial

Hybrid obstacle avoidance system with vision and ultrasonic sensors for multi-rotor MAVs

Qiang Zhou et al.

INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION (2018)

添加到收藏夹

Article Robotics

A random finite set approach for dynamic occupancy grid maps with real-time application

Dominik Nuss et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2018)

添加到收藏夹

Article Automation & Control Systems

Path following and obstacle avoidance for an autonomous UAV using a depth camera

Massimiliano Iacono et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2018)

添加到收藏夹

Article Engineering, Aerospace

Persistent self-supervised learning: From stereo to monocular vision for obstacle avoidance

Kevin van Hecke et al.

INTERNATIONAL JOURNAL OF MICRO AIR VEHICLES (2018)

添加到收藏夹

Article Robotics

DroNet: Learning to Fly by Driving

Antonio Loquercio et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2018)

添加到收藏夹

Article Robotics

Recurrent-OctoMap: Learning State-Based Map Refinement for Long-Term Semantic Mapping With 3-D-Lidar Data

Li Sun et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

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

Shaoqing Ren et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Survey on Computer Vision for UAVs: Current Developments and Trends

Christoforos Kanellakis et al.

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS (2017)

添加到收藏夹

Proceedings Paper Robotics

Vision-Based Obstacle Avoidance for Micro Air Vehicles Using an Egocylindrical Depth Map

Roland Brockers et al.

2016 INTERNATIONAL SYMPOSIUM ON EXPERIMENTAL ROBOTICS (2017)

添加到收藏夹

Review Entomology

Optic flow-based collision-free strategies: From insects to robots

Julien R. Serres et al.

ARTHROPOD STRUCTURE & DEVELOPMENT (2017)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Eddy Ilg et al.

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

添加到收藏夹

Article Engineering, Aerospace

LIDAR obstacle warning and avoidance system for unmanned aerial vehicle sense-and-avoid

Subramanian Ramasamy et al.

AEROSPACE SCIENCE AND TECHNOLOGY (2016)

添加到收藏夹

Article Robotics

Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent

Fabio Ramos et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2016)

添加到收藏夹

Review Engineering, Aerospace

A survey of autonomous vision-based See and Avoid for Unmanned Aircraft Systems

Aaron Mcfadyen et al.

PROGRESS IN AEROSPACE SCIENCES (2016)

添加到收藏夹

Article Engineering, Aerospace

Radar/electro-optical data fusion for non-cooperative UAS sense and avoid

Giancarmine Fasano et al.

AEROSPACE SCIENCE AND TECHNOLOGY (2015)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Kaiming He et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)

添加到收藏夹

Review Engineering, Aerospace

Sense and avoid technologies with applications to unmanned aircraft systems: Review and prospects

Xiang Yu et al.

PROGRESS IN AEROSPACE SCIENCES (2015)

添加到收藏夹

Article Biochemical Research Methods

A Bio-inspired Collision Avoidance Model Based on Spatial Information Derived from Motion Detectors Leads to Common Routes

Olivier J. N. Bertrand et al.

PLOS COMPUTATIONAL BIOLOGY (2015)

添加到收藏夹

Article Computer Science, Information Systems

Obstacle Detection and Collision Avoidance for a UAV With Complementary Low-Cost Sensors

Nils Gageik et al.

IEEE ACCESS (2015)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Fast R-CNN

Ross Girshick

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

FlowNet: Learning Optical Flow with Convolutional Networks

Alexey Dosovitskiy et al.

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Monocular Visual-Inertial SLAM-Based Collision Avoidance Strategy for Fail-Safe UAV Using Fuzzy Logic Controllers

Changhong Fu et al.

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS (2014)

添加到收藏夹

Article Neurosciences

Asynchronous visual event-based time-to-contact

Xavier Clady et al.

FRONTIERS IN NEUROSCIENCE (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

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

Armin Hornung et al.

AUTONOMOUS ROBOTS (2013)

添加到收藏夹

Article Robotics

3D normal distributions transform occupancy maps: An efficient representation for mapping in dynamic environments

Jari P. Saarinen et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2013)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A 3D Collision Avoidance Strategy for UAVs in a Non-Cooperative Environment

Xilin Yang et al.

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS (2013)

添加到收藏夹

Article Automation & Control Systems

Efficient grid-based spatial representations for robot navigation in dynamic environments

Boris Lau et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2013)

添加到收藏夹

Article Computer Science, Artificial Intelligence

PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision

Lorenz Meier et al.

AUTONOMOUS ROBOTS (2012)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Autonomous quadrotor flight with vision-based obstacle avoidance in virtual environment

Aydin Eresen et al.

EXPERT SYSTEMS WITH APPLICATIONS (2012)

添加到收藏夹

Article Robotics

Estimation, planning, and mapping for autonomous flight using an RGB-D camera in GPS-denied environments

Abraham Bachrach et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2012)

添加到收藏夹

Review Computer Science, Theory & Methods

2D Euclidean distance transform algorithms: A comparative survey

Ricardo Fabbri et al.

ACM COMPUTING SURVEYS (2008)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.