Lightweight environment sensing algorithm for intelligent driving based on improved YOLOv7

Accurately and quickly detecting obstacles ahead is a prerequisite for intelligent driving. The combined detection scheme of light detection and ranging (LiDAR) and the camera is far more capable of coping with complex road conditions than a single sensor. However, immediately afterward, ensuring th...

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Vydáno v:	IET control theory & applications Ročník 18; číslo 18; s. 2872 - 2885
Hlavní autoři:	Qian, Guoyong, Xie, Dongbo, Bi, Dawei, Wang, Qi, Chen, Liqing, Wang, Hai
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Stevenage John Wiley & Sons, Inc 01.12.2024
Témata:	Accuracy Algorithms Cameras Classification Computing costs Deep learning Effectiveness image processing intelligent actuators intelligent control intelligent sensors learning (artificial intelligence) Lidar Localization Machine learning Obstacle avoidance Occlusion Real time Road conditions Semantics Sensors Target detection Test vehicles Vehicles Virtual reality
ISSN:	1751-8644, 1751-8652
On-line přístup:	Získat plný text
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