Obstacle Detection Using a Facet-Based Representation from 3-D LiDAR Measurements.

In this paper, we propose an obstacle detection approach that uses a facet-based obstacle representation. The approach has three main steps: ground point detection, clustering of obstacle points, and facet extraction. Measurements from a 64-layer LiDAR are used as input.