RPEA: A Residual Path Network with Efficient Attention for 3D pedestrian detection from LiDAR point clouds

Research article (Expert Systems with Applications, 2024) · cited 10× · AI/ML
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RPEA: A Residual Path Network with Efficient Attention for 3D pedestrian detection from LiDAR point clouds

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RPEA: A Residual Path Network with Efficient Attention for 3D pedestrian detection from LiDAR point clouds is a scholarly article[1].

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  • RPEA: A Residual Path Network with Efficient Attention for 3D pedestrian detection from LiDAR point clouds's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). RPEA: A Residual Path Network with Efficient Attention for 3D pedestrian detection from LiDAR point clouds. Retrieved May 24, 2026, from https://4ort.xyz/entity/rpea-a-residual-path-network-with-efficient-attention-for-3d-pedestrian-detection-from-lidar-point-clouds
MLA “RPEA: A Residual Path Network with Efficient Attention for 3D pedestrian detection from LiDAR point clouds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rpea-a-residual-path-network-with-efficient-attention-for-3d-pedestrian-detection-from-lidar-point-clouds.
BibTeX @misc{4ortxyz_rpea-a-residual-path-network-with-efficient-attention-for-3d-pedestrian-detection-from-lidar-point-clouds_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RPEA: A Residual Path Network with Efficient Attention for 3D pedestrian detection from LiDAR point clouds}}, year = {2026}, url = {https://4ort.xyz/entity/rpea-a-residual-path-network-with-efficient-attention-for-3d-pedestrian-detection-from-lidar-point-clouds}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RPEA: A Residual Path Network with Efficient Attention for 3D pedestrian detection from LiDAR point clouds — https://4ort.xyz/entity/rpea-a-residual-path-network-with-efficient-attention-for-3d-pedestrian-detection-from-lidar-point-clouds (retrieved 2026-05-24)

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