Provident vehicle detection at night for advanced driver assistance systems

In recent years, computer vision algorithms have become more powerful, which enabled technologies such as autonomous driving to evolve rapidly. However, current algorithms mainly share one limitation: They rely on directly visible objects. This is a significant drawback compared to human behavior, w...

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Bibliographische Detailangaben
Veröffentlicht in:	Autonomous robots Jg. 47; H. 3; S. 313 - 335
Hauptverfasser:	Ewecker, Lukas, Asan, Ebubekir, Ohnemus, Lars, Saralajew, Sascha
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2023 Springer Nature B.V
Schlagworte:	Advanced driver assistance systems Algorithms Artificial Intelligence Computer Imaging Computer vision Control Cues Engineering Glare Headlamps Human behavior Human performance Information retrieval Mechatronics Night Object recognition Pattern Recognition and Graphics Projectors Robotics Robotics and Automation Test vehicles Vehicles Vision Vision systems Visual observation Vehicle detection Advanced driver assistance systems Provident object detection
ISSN:	0929-5593, 1573-7527
Online-Zugang:	Volltext
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