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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IET control theory & applications Jg. 18; H. 18; S. 2872 - 2885
Hauptverfasser:	Qian, Guoyong, Xie, Dongbo, Bi, Dawei, Wang, Qi, Chen, Liqing, Wang, Hai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Stevenage John Wiley & Sons, Inc 01.12.2024
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!