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Yang et al., 2025 - Google Patents

An empirical study of ground segmentation for 3-D object detection

Yang et al., 2025

Document ID
11554117295616436859
Author
Yang H
Liang D
Liu Z
Li J
Zou Z
Ye X
Bai X
Publication year
Publication venue
IEEE Transactions on Intelligent Transportation Systems

External Links

Snippet

The ratio of foreground and background points directly impacts the accuracy and speed of the lidar-based 3D object detection methods. However, existing methods generally ignore the impact of ground points. Although some traditional ground segmentation algorithms are …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
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