Nighttime pedestrian detection based on a fusion of visual information and Millimeter-Wave radar

A target detection algorithm based on the fusion of vision sensors and millimeter wave radar data can effectively improve the safety of self-driving vehicles. However, a single sensor cannot obtain comprehensive category status information on the target in the nighttime environment. To improve pedes...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Zhao, Wei, Wang, Tingting, Tan, Ao, Ren, Congcong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autonomous cars Cameras Extended Kalman filter Extended Kalman filtering Feature extraction Infrared imagery Kalman filters Machine learning millimeter wave radar Millimeter waves Night Object detection Pedestrians Radar data Radar detection Radar imaging Radar targets sensor fusion Target detection Tracking Traffic information Vision YOLOv5 algorithm
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