Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study

6 Apr 2020Larissa T. TriessDavid PeterChristoph B. RistJ. Marius Zöllner

Autonomous vehicles need to have a semantic understanding of the three-dimensional world around them in order to reason about their environment. State of the art methods use deep neural networks to predict semantic classes for each point in a LiDAR scan... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper