| Autor: |
Borcs, Attila, Nagy, Balazs, Benedek, Csaba |
| Zdroj: |
2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom); 2013, p515-520, 6p |
| Abstrakt: |
In urban environments, object recognition and road monitoring are key issues for driving assistance systems or autonomous vehicles. This paper presents a LIDAR-based perception system which provides reliable detection of 3D urban objects from point cloud sequences of a Velodyne HDL-64E terrestrial LIDAR scanner installed on a moving platform. As for the output of the system, we perform real-time localization and identification of typical urban objects, such as traffic signs, vehicles or crosswalks. In contrast to most existing works, the proposed algorithm does not use hand-labeled training datasets to perform object classification. Experimental results are carried out on real LIDAR measurements in the streets of Budapest, Hungary. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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