An Improvement of DBSCAN Algorithm to Obstacles Detection for Stop&Go

DOI

10.2991/ameii-15.2015.138How to use a DOI?

Keywords

DBSCAN; Stop&Go; Laser radar; Obstacles detection

Abstract

Obstacles detection is one of key technologies to realize Stop&Go cruise control. This paper presents an improved DBSCAN(Density-Based Spatial Clustering of Application with Noise) clustering algorithm for obstacles detection, which based on two-dimensional laser radar. The algorithm by improving the traditional DBSCAN data point search way and key parameter setting, improve the operation speed and anti-noise performance of the algorithm. Real vehicle test show that the algorithm in the actual application effect is good.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wanglong Cheng
AU  - Jian Wu
PY  - 2015/04
DA  - 2015/04
TI  - An Improvement of DBSCAN Algorithm to Obstacles Detection for Stop&Go
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 739
EP  - 743
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.138
DO  - 10.2991/ameii-15.2015.138
ID  - Cheng2015/04
ER  -