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This paper proposes a novel object segmentation method for 3D Light Detection and Ranging (LIDAR) data that is particularly useful for the traffic scene analysis of self-driving vehicles. The novel method gains robustness against under-segmentation, i.e. the problem of assigning several objects to one segment, by jointly using geometrical features and motion field information to discriminate even...
We demonstrate the appropriacy of using laser distance meter as the accurate, cost-effective, simple solution for position estimation within precise 3D point cloud map in urban environment scenario. Our approach treats trilateration method with minimum error selection algorithm for better position accuracy of landmark. We validate the performance of our approach through 22 landmarks measured using...
In summer 2013, a Mercedes S-Class drove completely autonomously for about 100 km from Mannheim to Pforzheim, Germany, using only close-to-production sensors. In this project, called Mercedes Benz Intelligent Drive, stereo vision was one of the main sensing components. For the representation of free space and obstacles we relied on the so called Stixel World, a generic 3D intermediate representation...
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