Exploration of object recognition from 3D point cloud
Lin Duan
TL;DR
This paper reports experimental results on recognizing objects from 3D point cloud data collected by a moving vehicle, highlighting challenges and potential solutions in autonomous driving perception.
Contribution
It provides new experimental insights into object recognition from 3D point clouds captured in dynamic driving environments.
Findings
Effective recognition techniques demonstrated in real-world driving scenarios
Identified challenges in processing point cloud data from moving platforms
Potential improvements for autonomous vehicle perception systems
Abstract
We present our latest experiment results of object recognition from 3D point cloud data collected through moving car.
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Taxonomy
TopicsRemote Sensing and LiDAR Applications · 3D Surveying and Cultural Heritage · Image Processing and 3D Reconstruction