This contribution introduces a novel approach to cross-calibrate automotive vision and ranging sensors. The resulting sensor alignment allows the incorporation of multiple sensor data into a detection and tracking framework. Exemplarily, we show how a realtime vehicle detection system, intended for emergency breaking or ACC applications, benefits from the low level fusion of multibeam lidar and vision sensor measurements in discrimination performance and computational complexity.
Sensorfusion Using Spatio-Temporal Aligned Video and Lidar for Improved Vehicle Detection
2006 IEEE Intelligent Vehicles Symposium ; 424-429
2006-01-01
4838233 byte
Conference paper
Electronic Resource
English
Sensorfusion Using Spatio-Temporal Aligned Video and Lidar for Improved Vehicle Detection
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