A Small-Object-Detection Algorithm Based on LiDAR Point-Cloud Clustering for Autonomous Vehicles

3D object-detection based on LiDAR point clouds can help driverless vehicles detect obstacles. However, the existing point-cloud-based object-detection methods are generally ineffective in detecting small objects such as pedestrians and cyclists. Therefore, a small-object-detection algorithm based o...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 24; H. 16; S. 5423
Hauptverfasser:	Duan, Zhibing, Shao, Jinju, Zhang, Meng, Zhang, Jinlei, Zhai, Zhipeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 22.08.2024 MDPI
Schlagworte:	Accuracy Algorithms autonomous driving Autonomous vehicles Cameras Deep learning Efficiency ground segmentation LiDAR Literature reviews Methods point cloud clustering Roads & highways Sensors small object detection small object detection LiDAR ground segmentation point cloud clustering autonomous driving
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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