Towards an approach for knowledge-based road detection

Our previous work on road detection suggests the usage of prior knowledge in order to improve performance. In this paper we will explain our motivation for a novel approach, define requirements and point out issues, particularly concerning the representation of road depending on the use, which need to be addressed. The proposed system will provide symbolic data for high-level processes and guidance for low-level processes. Furthermore, we will outline the recognition approach based on previously discussed requirements and issues. This paper has a visionary character based on our experience with road detection for autonomous road vehicles. Categories and Subject Descriptors I.2.9 [Artificial Intelligence]: Robotics - autonomous vehicles, sensors. General Terms Algorithms, Design Keywords Road detection, road recognition, autonomous driving, road representation, model-based recognition, tree search, constraints

• Type: Conference
• Year: 2005
• Where: CIKM
• Authors: Mike Foedisch, Craig Schlenoff, Michael Shneier
• Keywords: Autonomous Road Vehicles, CIKM 2005, Keywords Road Detection, Road Detection