SemanticKITTI is an authoritative dataset in the field of autonomous driving.It is based on KITTI Dataset,All sequences in the KITTI Vision Odometry Benchmark are annotated, as well as all targets captured within the 360-degree range of the LiDAR.Dense point-by-point annotations were performed.

The dataset contains 28 labeled categories.It is divided into static objects and dynamic objects, including traffic participants such as pedestrians and vehicles, as well as ground facilities such as parking lots and sidewalks.

The R&D team also usedPoint cloud labeling toolOpen sourced.

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Related papers:SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences