Object Detection and Monocular Stable Distance Estimation for Road Environments: A Fusion Architecture Using YOLO-RedeCa and Abnormal Jumping Change Filter

Enabling rapid and accurate comprehensive environmental perception for vehicles poses a major challenge. Object detection and monocular distance estimation are the two main technologies, though they are often used separately. Thus, it is necessary to strengthen and optimize the interaction between t...

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Veröffentlicht in:	Electronics (Basel) 2024-08, Vol.13 (15), p.3058
Hauptverfasser:	Lv, Hejun, Du, Yu, Ma, Yan, Yuan, Ying
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Classification Datasets Decision making Deep learning Design Detectors Efficiency Methods Motion perception Neural networks Object recognition Telematics Vehicles
Online-Zugang:	Volltext
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