ParisLuco3D: A High-Quality Target Dataset for Domain Generalization of LiDAR Perception

LiDAR is an essential sensor for autonomous driving by collecting precise geometric information regarding a scene. As the performance of various LiDAR perception tasks has improved, generalizations to new environments and sensors has emerged to test these optimized models in real-world conditions. U...

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Veröffentlicht in:	IEEE robotics and automation letters 2024-06, Vol.9 (6), p.5496-5503
Hauptverfasser:	Sanchez, Jules, Soum-Fontez, Louis, Deschaud, Jean-Emmanuel, Goulette, Francois
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Data sets for robotic vision Datasets intelligent transportation systems Laser radar Lidar Object detection Object recognition Perception Performance evaluation Point cloud compression Robot sensing systems segmentation and categorization Semantic segmentation Task analysis
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