本文關(guān)鍵詞： 線激光雷達(dá) DBSCAN算法 加權(quán)歐式距離 可行駛區(qū)域　出處：《汽車技術(shù)》2016年02期 　論文類型：期刊論文

【摘要】：通過(guò)分析大量激光雷達(dá)數(shù)據(jù),提出了改進(jìn)的DBSCAN算法對(duì)雷達(dá)數(shù)據(jù)進(jìn)行聚類,以使智能汽車獲得前方道路和障礙物信息。根據(jù)不同的密度參數(shù),多次調(diào)用該算法完成多密度聚類。結(jié)合提出的道路邊沿、路面和障礙物等信息提取方法,在結(jié)構(gòu)化或半結(jié)構(gòu)化的城市道路中對(duì)提出的方法進(jìn)行實(shí)車試驗(yàn),結(jié)果表明該算法可實(shí)時(shí)準(zhǔn)確的提取智能汽車的可行駛區(qū)域信息。
[Abstract]:Through the analysis of a large number of laser radar data, an improved DBSCAN algorithm is proposed to cluster the radar data, in order to make the smart car road ahead and obstacle information. According to the density of different parameters, calls the completion of the algorithm of multi density clustering. In combination with the proposed edge extraction method, pavement and obstacle information, vehicle test the proposed method is in a structured or semi-structured road in the city. The results show that the algorithm can real-time and accurate extraction of the intelligent vehicle driving region information.

【作者單位】： 北京工業(yè)大學(xué)北京市交通工程重點(diǎn)實(shí)驗(yàn)室;
【基金】：北京市屬高等學(xué)校人才強(qiáng)教計(jì)劃資助項(xiàng)目(038000543115025)
【分類號(hào)】：U463.6
【正文快照】： Preceding Drivable Area Detection Based on Four-layer Laser Radar(Beijing Key Laboratory of Traffic Engineering,Beijing University of Technology,Beijing 100124)1前言智能汽車?yán)每赏ㄐ袇^(qū)域信息來(lái)保障其在道路區(qū)域內(nèi)安全行駛,防止側(cè)翻和碰撞等危險(xiǎn)狀況發(fā)生。車輛，

本文編號(hào)：1451850