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Author:

Duan Jianmin (Duan Jianmin.) (Scholars:段建民) | Yang Guangzu (Yang Guangzu.) | Shi Lixiao (Shi Lixiao.) | Zhou Junjing (Zhou Junjing.) | Liang Kunlun (Liang Kunlun.)

Indexed by:

CPCI-S

Abstract:

In the research of intelligent vehicle, multi-layer laser radar can provide important information for perceptual system of the intelligent vehicle. The important information come from the system of data acquisition and processing. This paper describes the multi-layer laser radar. A data acquisition and display software is developed by using multi-threading technology in visual C++ 2008 and image technology in OpenCV. In the data processing, adopting the median filtering algorithm to preprocess data, using the algorithm based-on weighted distance threshold to cluster and making use of Kalman filtering algorithm to track the target. Experiment results show the software is reliable and practical, the algorithm is appropriate and effective, which can provide reliable information of obstacle for intelligent vehicle.

Keyword:

Intelligent Vehicle Data acquisition Multi-layer laser radar Data processing

Author Community:

  • [ 1 ] [Duan Jianmin]Beijing Univ Technol, Intelligent Measurement & Control Lab, Beijing 100124, Peoples R China
  • [ 2 ] [Yang Guangzu]Beijing Univ Technol, Intelligent Measurement & Control Lab, Beijing 100124, Peoples R China
  • [ 3 ] [Shi Lixiao]Beijing Univ Technol, Intelligent Measurement & Control Lab, Beijing 100124, Peoples R China
  • [ 4 ] [Zhou Junjing]Beijing Univ Technol, Intelligent Measurement & Control Lab, Beijing 100124, Peoples R China
  • [ 5 ] [Liang Kunlun]Beijing Univ Technol, Intelligent Measurement & Control Lab, Beijing 100124, Peoples R China

Reprint Author's Address:

  • 段建民

    [Duan Jianmin]Beijing Univ Technol, Intelligent Measurement & Control Lab, Beijing 100124, Peoples R China

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Source :

2013 32ND CHINESE CONTROL CONFERENCE (CCC)

ISSN: 2161-2927

Year: 2013

Page: 3986-3991

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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