Apr 12, 2022 · In this paper, aiming at strengthening the relevancy of local neighboring points and the contextual dependency among global points ...
In this paper, aiming at strengthening the relevancy of local neighboring points and the contextual dependency among global points simultaneously, we ...
May 23, 2022 · In this paper, aiming at strengthening the relevancy of local neighboring points and the contextual dependency among global points ...
In this paper, aiming at strengthening the relevancy of local neighboring points and the contextual dependency among global points simultaneously, we ...
Hou et al. [44] proposed a Hierarchical Transformer for place recognition, dividing point clouds into small units through downsampling and nearest neighbor ...
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing) ...
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HiTPR: Hierarchical Transformer for Place Recognition in Point Cloud ... In the SRT, we extract the local feature for each point cell. ... Cannot find the paper you ...
This work proposes a binary point cloud transformer for place recognition that can be deployed on mobile devices for online applications such as place ...
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What is point cloud transformer?
Mar 7, 2024 · (2022) introduced a novel Hierarchical Transformer for Place Recognition (HiTPR), specifically designed to address the challenges of LiDAR-based ...
In this paper, a global descriptor for a LiDAR point cloud, called LiDAR Iris, is proposed for fast and accurate loop-closure detection. Loop Closure Detection.