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CIKM
2005
Springer

Towards an approach for knowledge-based road detection

13 years 10 months ago
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
Mike Foedisch, Craig Schlenoff, Michael Shneier
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where CIKM
Authors Mike Foedisch, Craig Schlenoff, Michael Shneier
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