Improved ORB-SLAM2 Algorithm Based on Information Entropy and Image Sharpening Adjustment [PDF]
Simultaneous Localization and Mapping (SLAM) has become a research hotspot in the field of robots in recent years. However, most visual SLAM systems are based on static assumptions which ignored motion effects. If image sequences are not rich in texture information or the camera rotates at a large angle, SLAM system will fail to locate and map.
Kaiqing Luo +5 more
openaire +2 more sources
Fuzzy Fusion of Monocular ORB-SLAM2 and Tachometer Sensor for Car Odometry
Estimating the absolute scale of reconstructed camera trajectories in monocular odometry is a challenging task due to the inherent scale ambiguity in any monocular vision system.
David Lázaro Mata +4 more
doaj +2 more sources
YG-SLAM: Enhancing Visual SLAM in Dynamic Environments With YOLOv8 and Geometric Constraints
In dynamic environments, achieving accurate and robust Visual SLAM (Simultaneous Localization and Mapping) remains a significant challenge, particularly for applications in robotic navigation and autonomous driving.
Guoming Chu +3 more
doaj +1 more source
Marine Application Evaluation of Monocular SLAM for Underwater Robots
With the development of artificial intelligence technology, visual simultaneous localization and mapping (SLAM) has become a cheap and efficient localization method for underwater robots.
Yang Zhang +4 more
doaj +1 more source
Geometric Constraint-Based and Improved YOLOv5 Semantic SLAM for Dynamic Scenes
When using deep learning networks for dynamic feature rejection in SLAM systems, problems such as a priori static object motion leading to disturbed build quality and accuracy and slow system runtime are prone to occur.
Ruidong Zhang, Xinguang Zhang
doaj +1 more source
A Visual SLAM Robust against Dynamic Objects Based on Hybrid Semantic-Geometry Information
A visual localization approach for dynamic objects based on hybrid semantic-geometry information is presented. Due to the interference of moving objects in the real environment, the traditional simultaneous localization and mapping (SLAM) system can be ...
Sheng Miao +3 more
doaj +1 more source
Autonomous mobile robot with ORB-SLAM 2 [PDF]
In this thesis we introduced ORB-SLAM2. It is critical for a mobile robot to be able to identify revisited locations or loop closures while conducting Simultaneous Localization and Mapping (SLAM) in order to be successful during autonomous navigation ...
Salah Eddine, Benahmed
core +1 more source
A Stereo SLAM System With Dense Mapping
The development of simultaneous localization and mapping (SLAM) technology plays an important role in robot navigation and autonomous vehicle innovation. The ORB-SLAM2 is a unified SLAM solution for monocular, binocular, and RGBD cameras which constructs
Ben Zhang, Denglin Zhu
doaj +1 more source
MOR-SLAM: A New Visual SLAM System for Indoor Dynamic Environments Based on Mask Restoration
The traditional Simultaneous Localization and Mapping (SLAM) systems are based on the strong static assumption, and their performance will degrade significantly due to the presence of dynamic objects located in dynamic environments.
Chengzhi Yao, Lei Ding, Yonghong Lan
doaj +1 more source
Robust Stereo Visual SLAM for Dynamic Environments With Moving Object
The accuracy of localization and mapping of automated guided vehicles (AGVs) using visual simultaneous localization and mapping (SLAM) is significantly reduced in a dynamic environment compared to a static environment due to incorrect data association ...
Gang Li +5 more
doaj +1 more source

