Road Environment Semantic Segmentation with Deep Learning from MLS Point Cloud Data

Volume: 19, Issue: 16, Pages: 3466 - 3466
Published: Aug 8, 2019
Abstract
In the near future, the communication between autonomous cars will produce a network of sensors that will allow us to know the state of the roads in real time. Lidar technology, upon which most autonomous cars are based, allows the acquisition of 3D geometric information of the environment. The objective of this work is to use point clouds acquired by Mobile Laser Scanning (MLS) to segment the main elements of road environment (road surface,...
Paper Details
Title
Road Environment Semantic Segmentation with Deep Learning from MLS Point Cloud Data
Published Date
Aug 8, 2019
Journal
Volume
19
Issue
16
Pages
3466 - 3466
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