3.9 Review

A survey: which features are required for dynamic visual simultaneous localization and mapping?

Related references

Note: Only part of the references are listed.
Article Computer Science, Software Engineering

Accurate Dynamic SLAM Using CRF-Based Long-Term Consistency

Zheng-Jun Du et al.

Summary: Accurate camera pose tracking in dynamic environments is achieved in this article through a novel RGB-D SLAM approach, which utilizes long-term observations and conditional random fields for more accurate dynamic 3D landmark detection. Evaluation results demonstrate the superiority of this method over existing approaches.

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2022)

Article Robotics

DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM

Berta Bescos et al.

Summary: The paper introduces DynaSLAM II, a visual SLAM system for stereo and RGB-D camera configurations with tight integration of multi-object tracking ability, utilizing instance semantic segmentation and ORB features to track dynamic objects. The system not only provides rich clues for scene understanding but also benefits camera tracking.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

Article Robotics

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial, and Multimap SLAM

Carlos Campos et al.

Summary: ORB-SLAM3 is the first system capable of performing various SLAM tasks, including visual, visual-inertial, and multi-map SLAM, with improved accuracy and robustness, while also being able to survive in situations with poor visual information and achieve high accuracy.

IEEE TRANSACTIONS ON ROBOTICS (2021)

Article Robotics

Empty Cities: A Dynamic-Object-Invariant Space for Visual SLAM

Berta Bescos et al.

Summary: This article introduces a data-driven approach to obtain static images of scenes by eliminating dynamic objects, aiming to enhance vision-based localization and mapping in dynamic environments. A deep learning framework is used to transform urban environment images with dynamic content into realistic static frames suitable for localization and mapping, facing challenges in detecting dynamic objects and inpainting static occluded backgrounds. Validation is done through evaluation on tasks affected by dynamic entities using hallucinated images, with code available on GitHub.

IEEE TRANSACTIONS ON ROBOTICS (2021)

Article Computer Science, Information Systems

PLD-SLAM: A New RGB-D SLAM Method with Point and Line Features for Indoor Dynamic Scene

Chenyang Zhang et al.

Summary: The paper introduces a new RGB-D dynamic SLAM method, PLD-SLAM, for dynamic scenes, combining point and line features for better performance. Through the integration of deep learning, clustering algorithm, and consistency check strategies, dynamic features are effectively detected and filtered to improve practicality. The use of point and line features in the optimization model contributes to higher accuracy in camera pose estimation, showcasing comparable or better performances in dynamic scenes compared to existing dynamic SLAM methods.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2021)

Article Robotics

DymSLAM: 4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation

Chenjie Wang et al.

Summary: DymSLAM is a dynamic stereo visual SLAM system that can reconstruct a 4D dynamic scene with moving objects, capturing their 6DoF motion trajectory and 3D models accurately. It segments motion models of different moving objects and obtains accurate masks, while also obtaining the 4D model and 6DoF trajectory of the moving object in the global reference frame. The system does not rely on semantic cues or prior knowledge, making it suitable for unknown rigid objects.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

Article Computer Science, Information Systems

Robust and Efficient RGB-D SLAM in Dynamic Environments

Xin Yang et al.

Summary: This study introduces an accurate and robust RGB-D SLAM system designed for dynamic scenarios, which runs efficiently on a single dual-core CPU. The system utilizes a dynamic keypoint exclusion method to improve accuracy and robustness in dynamic scenes without significant increase in processing time. Experiment results show that the method outperforms state-of-the-art methods in terms of speed and accuracy, demonstrating its practical applicability in real AR scenarios.

IEEE TRANSACTIONS ON MULTIMEDIA (2021)

Article Chemistry, Multidisciplinary

Dynamic-DSO: Direct Sparse Odometry Using Objects Semantic Information for Dynamic Environments

Chao Sheng et al.

APPLIED SCIENCES-BASEL (2020)

Article Robotics

Dynamic obstacle avoidance for quadrotors with event cameras

Davide Falanga et al.

SCIENCE ROBOTICS (2020)

Article Engineering, Multidisciplinary

A robust visual SLAM system in dynamic man-made environments

JiaCheng Liu et al.

SCIENCE CHINA-TECHNOLOGICAL SCIENCES (2020)

Article Engineering, Multidisciplinary

Visual SLAM in dynamic environments based on object detection

Yong-bao Ai et al.

Defence Technology (2020)

Article Robotics

Object-Based Pose Graph for Dynamic Indoor Environments

Clara Gomez et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2020)

Proceedings Paper Automation & Control Systems

Dynamic SLAM: The Need For Speed

Mina Henein et al.

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

Proceedings Paper Computer Science, Artificial Intelligence

Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking

Peiliang Li et al.

2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2020)

Article Computer Science, Information Systems

Dynamic Scene Semantics SLAM Based on Semantic Segmentation

Shuangquan Han et al.

IEEE ACCESS (2020)

Review Multidisciplinary Sciences

Feature-based visual simultaneous localization and mapping: a survey

Rana Azzam et al.

SN APPLIED SCIENCES (2020)

Article Computer Science, Artificial Intelligence

MonoFENet: Monocular 3D Object Detection With Feature Enhancement Networks

Wentao Bao et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2020)

Article Computer Science, Information Systems

PSPNet-SLAM: A Semantic SLAM Detect Dynamic Object by Pyramid Scene Parsing Network

Xudong Long et al.

IEEE ACCESS (2020)

Article Computer Science, Artificial Intelligence

Tree-structured multi-stage principal component analysis (TMPCA): Theory and applications

Yuanhang Su et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Article Robotics

PL-SLAM: A Stereo SLAM System Through the Combination of Points and Line Segments

Ruben Gomez-Ojeda et al.

IEEE TRANSACTIONS ON ROBOTICS (2019)

Review Imaging Science & Photographic Technology

An overview of optical flow-based approaches for motion segmentation

Shivangi Anthwal et al.

IMAGING SCIENCE JOURNAL (2019)

Article Automation & Control Systems

Dynamic-SLAM: Semantic monocular visual localization and mapping based on deep learning in dynamic environment

Linhui Xiao et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2019)

Article Robotics

CubeSLAM: Monocular 3-D Object SLAM

Shichao Yang et al.

IEEE TRANSACTIONS ON ROBOTICS (2019)

Article Robotics

Tracking 3-D Motion of Dynamic Objects Using Monocular Visual-Inertial Sensing

Kejie Qiu et al.

IEEE TRANSACTIONS ON ROBOTICS (2019)

Proceedings Paper Computer Science, Artificial Intelligence

DLD: A Deep Learning Based Line Descriptor for Line Feature Matching

Manuel Lange et al.

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

Proceedings Paper Computer Science, Artificial Intelligence

Elaborate Monocular Point and Line SLAM with Robust Initialization

Sang Jun Lee et al.

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)

Article Computer Science, Information Systems

SOF-SLAM: A Semantic Visual SLAM for Dynamic Environments

Linyan Cui et al.

IEEE ACCESS (2019)

Article Robotics

QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM

Lachlan Nicholson et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2019)

Article Computer Science, Theory & Methods

Visual SLAM and Structure from Motion in Dynamic Environments: A Survey

Muhamad Risqi U. Saputra et al.

ACM COMPUTING SURVEYS (2018)

Article Engineering, Electrical & Electronic

Permutation Preference Based Alternate Sampling and Clustering for Motion Segmentation

Yun Zhang et al.

IEEE SIGNAL PROCESSING LETTERS (2018)

Article Engineering, Electrical & Electronic

Optimized Self-Localization for SLAM in Dynamic Scenes Using Probability Hypothesis Density Filters

Christine Evers et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2018)

Article Automation & Control Systems

Motion removal for reliable RGB-D SLAM in dynamic environments

Yuxiang Sun et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2018)

Article Engineering, Mechanical

Pose Changes From a Different Point of View

Gregory S. Chirikjian et al.

JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME (2018)

Article Engineering, Electrical & Electronic

RGB-D simultaneous localization and mapping based on combination of static point and line features in dynamic environments

Huijuan Zhang et al.

JOURNAL OF ELECTRONIC IMAGING (2018)

Article Robotics

DynaSLAM: Tracking, Mapping, and Inpainting in Dynamic Scenes

Berta Bescos et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2018)

Article Robotics

Re3: Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects

Daniel Gordon et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2018)

Article Computer Science, Artificial Intelligence

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Vijay Badrinarayanan et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

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)

Article Robotics

ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

Raul Mur-Artal et al.

IEEE TRANSACTIONS ON ROBOTICS (2017)

Article Robotics

Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback

Michael Bloesch et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2017)

Article Computer Science, Artificial Intelligence

LSTM: A Search Space Odyssey

Klaus Greff et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Mask R-CNN

Kaiming He et al.

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

Article Computer Science, Artificial Intelligence

Struck: Structured Output Tracking with Kernels

Sam Hare et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2016)

Article Robotics

ORB-SLAM: A Versatile and Accurate Monocular SLAM System

Raul Mur-Artal et al.

IEEE TRANSACTIONS ON ROBOTICS (2015)

Article Computer Science, Artificial Intelligence

Visual simultaneous localization and mapping: a survey

Jorge Fuentes-Pacheco et al.

ARTIFICIAL INTELLIGENCE REVIEW (2015)

Article Computer Science, Artificial Intelligence

CoSLAM: Collaborative Visual SLAM in Dynamic Environments

Danping Zou et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)

Article Computer Science, Information Systems

An efficient and robust line segment matching approach based on LBD descriptor and pairwise geometric consistency

Lilian Zhang et al.

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2013)

Article Computer Science, Artificial Intelligence

Visual SLAM: Why filter?

Hauke Strasdat et al.

IMAGE AND VISION COMPUTING (2012)

Article Computer Science, Artificial Intelligence

Video-based, real-time multi-view stereo

George Vogiatzis et al.

IMAGE AND VISION COMPUTING (2011)

Article Computer Science, Artificial Intelligence

LSD: A Fast Line Segment Detector with a False Detection Control

Rafael Grompone von Gioi et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2010)

Article Robotics

Simultaneous localization, mapping and moving object tracking

Chieh-Chih Wang et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2007)

Article Computer Science, Artificial Intelligence

Reconstructing 3D trajectories of independently moving objects using generic constraints

KE Ozden et al.

COMPUTER VISION AND IMAGE UNDERSTANDING (2004)