Results 1 to 10 of about 14,413,856 (151)
Improving RGB-D SLAM in dynamic environments: A motion removal approach
Visual Simultaneous Localization and Mapping (SLAM) based on RGB-D data has developed as a fundamental approach for robot perception over the past decades. There is an extensive literature regarding RGB-D SLAM and its applications.
Max Q -H Meng, Yuxiang Sun
exaly +2 more sources
Some of the next articles are maybe not open access.
UPLP-SLAM: Unified point-line-plane feature fusion for RGB-D visual SLAM
Information Fusion, 2023Zhang Xuebo, Yuanxi Gao, Mu Lingzhi
exaly
Motion removal for reliable RGB-D SLAM in dynamic environments
Robotics and Autonomous Systems, 2018Max Q -H Meng, Yuxiang Sun
exaly
ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras
IEEE Transactions on Robotics, 2017Juan Domingo Tardós Solano +1 more
exaly
Real-time large-scale dense RGB-D SLAM with volumetric fusion
International Journal of Robotics Research, 2015John B McDonald +2 more
exaly
An experimental study on feature-based SLAM for multi-legged robots with RGB-D sensors
Industrial Robot, 2017Petr Cizek, Michał R Nowicki, Jan Faigl
exaly
Solution to the SLAM Problem in Low Dynamic Environments Using a Pose Graph and an RGB-D Sensor
Sensors, 2014Hyun Myung, Donghwa Lee
exaly
Optimization Algorithm of RGB-D SLAM Visual Odometry based on Triangulation
International Journal of Performability Engineering, 2020exaly
RGB-D SLAM with Manhattan Frame Estimation Using Orientation Relevance [PDF]
Due to image noise, image blur, and inconsistency between depth data and color image, the accuracy and robustness of the pairwise spatial transformation computed by matching extracted features of detected key points in existing sparse Red Green Blue ...
Liang Wang, Zhiqiu Wu
exaly +5 more sources

