Navya3DSeg - Navya 3D Semantic Segmentation Dataset Design & split generation for autonomous vehicles

Autonomous driving (AD) perception today relies heavily on deep learning based architectures requiring large scale annotated datasets with their associated costs for curation and annotation. The 3D semantic data are useful for core perception tasks such as obstacle detection and ego-vehicle localiza...

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Veröffentlicht in:	IEEE robotics and automation letters 2023-09, Vol.8 (9), p.1-8
Hauptverfasser:	Almin, Alexandre, Lemarie, Leo, Duong, Anh, Kiran, B Ravi
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Autonomous Vehicle Navigation Benchmarks Data Sets for Robotic Vision Datasets Deep learning Deep Learning Methods Distillation Image segmentation Laser radar Mapping Obstacle avoidance Perception Point cloud compression Sampling methods Semantic Scene Understanding Semantic segmentation Semantics Task analysis Three-dimensional displays
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