This study presents an autonomous guided vehicle (AGV) with simultaneous localization and map building (SLAM) based on matching method, and extended Kalman ...
This study presents an autonomous guided vehicle (AGV) with simultaneous localization and map building (SLAM) based on matching method, and extended Kalman ...
This study presents an autonomous guided vehicle (AGV) with simultaneous localization and map building (SLAM) based on matching method, and extended Kalman ...
This study presents an autonomous guided vehicle (AGV) with simultaneous localization and map building (SLAM) based on matching method, and extended Kalman ...
In this research, the position calculated using the geometric matching method is corrected using the ICP matching method based on a point-to-line method, which ...
Improved Point-Line Feature Based Visual SLAM Method for Indoor ...
pmc.ncbi.nlm.nih.gov › PMC6210560
In this paper, an improved indoor visual SLAM method to better utilize the advantages of point and line segment features and achieve robust results in difficult ...
The proposed algorithm is based on the line features of the indoor environment. It is robust to disturbances from moving objects in the dynamic scenario ...
We demonstrate a nonparametric statistical approach to solve the data association between detected objects over consecutive frames. Then we use an unsupervised ...
Oct 28, 2021 · This paper proposes a LiDAR positioning algorithm based on iterative closest point (ICP) and artificial landmarks assistance.
May 26, 2021 · First, the geometric features of local maps are extracted and fitted to represent the semantic information of the indoor building structure.