Efficient techniques for dynamic vehicle detection
Efficient techniques for dynamic vehicle detection
- New search for: Petrovskaya, Anna
- New search for: Thrun, Sebastian
- New search for: Petrovskaya, Anna
- New search for: Thrun, Sebastian
Fast detection of moving vehicles is crucial for safe autonomous urban driving. The authors present the vehicle detection algorithm developed for their entry in the Urban Grand Challenge, an autonomous driving race organized by the U.S. Government in 2007. The algorithm provides reliable detection of moving vehicles from a high-speed moving platform using laser range finders. They present the notion of motion evidence, which allows us to overcome the low signal-to-noise ratio that arises during rapid detection of moving vehicles in noisy urban environments. They also present and evaluate an array of optimization techniques that enable accurate detection in real time. Experimental results show empirical validation on data from the most challenging situations presented at the Urban Grand Challenge as well as other urban settings.
Document information
Efficient techniques for dynamic vehicle detection
Effiziente Techniken für eine dynamische Fahrzeugerkennung
2009
13 Seiten, 7 Bilder, 1 Tabelle, 9 Quellen
Conference paper
English
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