A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI

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We present an extension of the SemanticKITTI dataset that enables the community to evaluate and benchmark panoptic segmentation approaches using data generated by an automotive LiDAR

Abstract:

Panoptic segmentation is the recently introduced task that tackles semantic segmentation and instance segmentation jointly. In this paper, we present an extension of SemanticKITTI, which is a large-scale dataset providing dense point-wise semantic labels for all sequences of the KITTI Odometry Benchmark, for training and evaluation of l...More

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