A Universal Approach to Detect and Classify Road Surface Markings


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 ]


  1. Fabian Poggenhans (FZI – Research Center for Information Technology)
  2. Markus Schreiber (FZI – Research Center for Information Technology)
  3. 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


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