Sponsored by


Plenary Session

Regular Session (Workshop papers)

Regular Session (Conference papers)

Organizing Commitee

Description of the workshop

Detecting the road area and ego-lane ahead of a vehicle is central to modern driver assistance systems. While lane-detection on well-marked roads is already available in modern vehicles, finding the boundaries of unmarked or weakly marked roads and lanes as they appear in inner-city and rural environments remains an unsolved problem due to the high variability in scene layout and illumination conditions, amongs others. While recent years have witnessed great interest in this subject, to date no commonly agreed upon benchmark exists, rendering a fair comparison amongst methods dif?cult. The target of this workshop is to bring together researchers active in the field in order to enable a better comparison of approaches. By encouraging submissions operating on public benchmarks (e.g., KITTI-ROAD) the workshop aims to foster research progress in road terrain and lane detection algorithms for application in real vehicles driving on arbitrary non-highway roads.

Relevant topics of interest include, but are not limited to:

Next Steps in Benchmarking Road Detection Algorithms