A New Density-Based Clustering Method Considering Spatial Distribution of Lidar Point Cloud for Object Detection of Autonomous Driving

A New Density-Based Clustering Method Considering Spatial Distribution of Lidar Point Cloud for Object Detection of Autonomous Driving

Lidar is a key sensor of autonomous driving systems, but the spatial distribution of its point cloud is uneven because of its scanning mechanism, which greatly degrades the clustering performance of the traditional density-based spatial clustering of application with noise (DSC). Considering the out...

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Bibliographic Details
Main Authors: Caihong Li, Feng Gao, Xiangyu Han, Bowen Zhang
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Electronics
Subjects:
autonomous driving
object detection
lidar detection
clustering method
Online Access:https://www.mdpi.com/2079-9292/10/16/2005

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