Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
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Beschreibung
This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR and camera processing, ethics, and communications. Several new datasets are also provided for future research work. Researchers and others interested in these topics will find important advances contained in this book.
Autor*in
John Ball
Themen in »Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)«
Vehicle-to-X communications Intelligent Transport Systems VANET DSRC Geobroadcast multi-sensor fusion deep learning LiDAR camera ADAS object tracking kernel based MIL algorithm Gaussian kernel adaptive classifier updating