A Universal Approach to Detect and Classify Road Surface Markings

Abstract

In autonomous driving, road markings are an essential element for high-precision mapping, trajectory planning and can provide important information for localization. This paper presents an approach to detect, classify and... [ view full abstract ]

Authors

Fabian Poggenhans (FZI Research Center for Information Technology), Markus Schreiber (FZI Research Center for Information Technology), Christoph Stiller (Karlsruhe Institute of Technology (KIT), Institute of Measurement and Control Systems (MRT))

Topic Areas

Aerial, Marine and Surface Intelligent Vehicles , Automated Vehicle Operation, Motion Planning, Navigation , Sensing, Vision, and Perception

Session

Th-C6 » Automated Driving II (13:40 - Thursday, 17th September, Fuerteventura)