A Comprehensive Survey of Visual SLAM Algorithms
Robotics, 2022 Simultaneous localization and mapping (SLAM) techniques are widely researched, since they allow the simultaneous creation of a map and the sensors’ pose estimation in an unknown environment.
Andréa Macario Barros +4 more
doaj +4 more sources
Visual-SLAM Classical Framework and Key Techniques: A Review [PDF]
Sensors, 2022 With the significant increase in demand for artificial intelligence, environmental map reconstruction has become a research hotspot for obstacle avoidance navigation, unmanned operations, and virtual reality.
Guanwei Jia +6 more
doaj +4 more sources
DOE-SLAM: Dynamic Object Enhanced Visual SLAM [PDF]
Sensors, 2021 In this paper, we formulate a novel strategy to adapt monocular-vision-based simultaneous localization and mapping (vSLAM) to dynamic environments. When enough background features can be captured, our system not only tracks the camera trajectory based on
Xiao Hu, Jochen Lang
doaj +5 more sources
SEG-SLAM: Dynamic Indoor RGB-D Visual SLAM Integrating Geometric and YOLOv5-Based Semantic Information [PDF]
SensorsSimultaneous localisation and mapping (SLAM) is crucial in mobile robotics. Most visual SLAM systems assume that the environment is static. However, in real life, there are many dynamic objects, which affect the accuracy and robustness of these systems ...
Peichao Cong +4 more
doaj +3 more sources
AHY-SLAM: Toward Faster and More Accurate Visual SLAM in Dynamic Scenes Using Homogenized Feature Extraction and Object Detection Method [PDF]
Sensors, 2023 At present, SLAM is widely used in all kinds of dynamic scenes. It is difficult to distinguish dynamic targets in scenes using traditional visual SLAM. In the matching process, dynamic points are incorrectly added to the pose calculation with the camera,
Han Gong +4 more
doaj +3 more sources
DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments [PDF]
IEEE/RJS International Conference on Intelligent RObots and Systems, 2018 Simultaneous Localization and Mapping (SLAM) is considered to be a fundamental capability for intelligent mobile robots. Over the past decades, many impressed SLAM systems have been developed and achieved good performance under certain circumstances ...
Fei, Qiao +6 more
core +2 more sources
Visual SLAM for flying vehicles [PDF]
IEEE Transactions on Robotics, 2008 The ability to learn a map of the environment is important for numerous types of robotic vehicles. In this paper, we address the problem of learning a visual map of the ground using flying vehicles.
B., Steder +3 more
core +5 more sources
ObVi-SLAM: Long-Term Object-Visual SLAM [PDF]
IEEE Robotics and Automation Letters, 2023 Robots responsible for tasks over long time scales must be able to localize consistently and scalably amid geometric, viewpoint, and appearance changes.
Amanda Adkins +2 more
semanticscholar +3 more sources
OTE-SLAM: An Object Tracking Enhanced Visual SLAM System for Dynamic Environments [PDF]
Sensors, 2023 With the rapid development of autonomous driving and robotics applications in recent years, visual Simultaneous Localization and Mapping (SLAM) has become a hot research topic.
Yimeng Chang, Jun Hu, Shiyou Xu
doaj +2 more sources
A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-Based Semantic Scene Understanding Using Multi-Modal Sensor Fusion [PDF]
Sensors, 2022 Simultaneous Localisation and Mapping (SLAM) is one of the fundamental problems in autonomous mobile robots where a robot needs to reconstruct a previously unseen environment while simultaneously localising itself with respect to the map.
Tin Lai
doaj +2 more sources