Lane feature extraction is one of the key computational steps in lane analysis systems. In this paper, we propose a lane feature extraction method, which enables different configurations of embedded solutions that address both accuracy and embedded systems' constraints. The proposed lane feature extraction process is evaluated in detail using real world lane data, to explore its effectiveness for embedded realization and adaptability to varying contextual information like lane types and environmental conditions.
['Ravi Kumar Satzoda', 'Mohan M. Trivedi']
Vision-Based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization