… segmentation in different kinds of scenes, and we demonstrate it with our autonomous vehicle
(… In section , this paper describes the ground segmentation approach in detail, followed by …

… segmentation algorithm and LIDAR-based segmentation algorithm to achieve an accurate
2D bird’s-eye view object segmentation. … -segmentation in LIDAR, and LIDAR segmentation …

… LiDAR-based panoptic segmentation, which requires full-spectrum point-level predictions.
Panoptic segmentation … task which unifies semantic and instance segmentation. Behley et al. […

… Traditionally, three separated processing stages are identified in LIDAR based obstacle
detection algorithms: 1) segmentation, which consist on grouping measured values, in order to …

… and evaluation of LiDAR-based panoptic segmentation. We provide the … -art LiDAR-based
semantic segmentation approaches with a state-of-the-art detector enriching the segmentation …

… Abstract—While current implementations of LIDAR-based autonomous driving systems are
… of semantic image segmentation to enhance a LIDAR-based autonomous ground vehicle for …

… [30], who exploit the difference between RGB video frames for action recognition, we propose
to use LiDAR-based residual images together with pixelwise binary labels on the range …

… As this work aims at 2D vehicle detection and 3D vehicle localization, we compare our
approach to representative LIDAR-based methods as VeloFCN [15] and Vote3D [12], …

… This paper presents an occupancy grid-based method for object segmentation and mapping
in … This work includes LiDAR-based object detection and classification, and image classifi…

… Since the image-based detection and segmentation methods are relatively more mature
than LiDAR-based solutions, we benefit from this stream of work to annotate 3D LiDAR point …