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September 10, 2025SN Computer ScienceOpen Access

Advancing Point Cloud Perception: A Focus on People Detection

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This research demonstrates improved people detection in high-resolution LiDAR data, indicating practical applications in dynamic environments.

Random Forest Classifier achieves efficient people detection in LiDAR point clouds, enhancing real-time applications.
Detailed parameterization of ground-removal and a compact feature set contribute significantly to the method's success.
Comparative analysis against MLP and PointNet benchmarks showcases the strengths of the proposed approach.
Comprehensive evaluation using two datasets supports the method's applicability for robust human detection in various scenarios.

Belbachir et al. (2025) studied this question.

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September 10, 2025SN Computer ScienceOpen Access

View Full Paper

Ask AI

Bookmark

Authors

This research demonstrates improved people detection in high-resolution LiDAR data, indicating practical applications in dynamic environments.

Random Forest Classifier achieves efficient people detection in LiDAR point clouds, enhancing real-time applications.
Detailed parameterization of ground-removal and a compact feature set contribute significantly to the method's success.
Comparative analysis against MLP and PointNet benchmarks showcases the strengths of the proposed approach.
Comprehensive evaluation using two datasets supports the method's applicability for robust human detection in various scenarios.

Belbachir et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark