字符串 ') and Issue_No=(select Issue_No from OA where Script_ID=@Script_ID) order by ID ' 后的引号不完整。 ') and Issue_No=(select Issue_No from OA where Script_ID=@Script_ID) order by ID ' 附近有语法错误。 自主车辆安全系数估计与T形路口避碰规划-《智能系统学报》

[1]黄维,田彦涛,樊泽华,等.自主车辆安全系数估计与T形路口避碰规划[J].智能系统学报,2013,8(05):408-414.[doi:10.3969/j.issn.1673-4785.201301021]
 HUANG Wei,TIAN Yantao,FAN Zehua,et al.Estimation of the safety coefficient of autonomous vehicles and collision avoidance planning at the T-shape intersection[J].CAAI Transactions on Intelligent Systems,2013,8(05):408-414.[doi:10.3969/j.issn.1673-4785.201301021]
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自主车辆安全系数估计与T形路口避碰规划(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第8卷
期数:
2013年05期
页码:
408-414
栏目:
出版日期:
2013-10-25

文章信息/Info

Title:
Estimation of the safety coefficient of autonomous vehicles and collision avoidance planning at the T-shape intersection
文章编号:
1673-4785(2013)05-0408-07
作者:
黄维 1田彦涛 12樊泽华 1王磊 1
1.吉林大学 通信工程学院,吉林 长春 130025; 2.吉林大学 教育部工程仿生重点实验室,吉林 长春 130025
Author(s):
HUANG Wei 1 TIAN Yantao 12 FAN Zehua 1 WANG Lei 1
1. College of Communication Engineering, Jilin University, Changchun 130025, China; 2. Key Laboratory of Bionics Engineering, Ministry of Education, Jilin University, Changchun 130025, China
关键词:
自主车辆T形路口安全系数避碰规划人工势场增量型数字PI控制器
Keywords:
autonomous vehicles T-shape intersection safety coefficient collision avoidance planning artificial potential field increment-type digital PI controller
分类号:
TP242.6
DOI:
10.3969/j.issn.1673-4785.201301021
文献标志码:
A
摘要:
针对自主车辆T形路口协作问题,通过测量车辆速度和预碰点距离,提出安全系数估计方法,结合人工势场基本思想,实现车辆路口避碰,提高路口协作效率.首先以计算得到的安全系数为依据,评价驶入T形路口两辆自主车各自的安全程度,并利用人工势场产生的推拉作用估计协作自主车辆的期望控制力和速度.然后将估计的期望车速与反馈的实际车速形成偏差,利用增量型数字PI控制器实现自主车纵向车速的准确控制.最后以一定的策略完成两辆自主车的并线协作.仿真结果验证了基于安全系数估计的自主车辆T形路口协作避碰的可行性与有效性.
Abstract:
Focusing on the collaboration of autonomous vehicles at a T-shape intersection, by measuring the vehicle speed and the distance of the vehicle away from the preset collision point, a safety coefficient estimation method is proposed. In combination with the basic thoughts on the artificial potential field, the collision avoidance of vehicles at an intersection may be realized and the intersection collaboration efficiency may be improved. Firstly, based on the safety coefficient obtained by calculations, the safety degree of two autonomous vehicles driving into the T-shape intersection are evaluated respectively, the push-pull function is derived from the artificial potential field and is utilized to estimate the expected control force and speed of the autonomous vehicles; then, a deviation is formed between the estimated expected vehicle speed and the actual feedback speed, the increment-type digital PI controller is utilized to realize accurate control for the longitudinal speed of an autonomous vehicle; finally, proper tactics are applied to complete the parallel collaboration of the two vehicles. The simulation result verifies the feasibility and effectiveness of the cooperative collision avoidance of autonomous vehicles at a T-shape intersection estimated on the basis of the safety coefficient.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2013-01-14.     网络出版日期:2013-09-29. 
基金项目:国家自然科学基金资助项目(60675057). 
通信作者:田彦涛. E-mail:tianyt@jlu.edu.cn.
作者简介:
黄维,男,1986年生,硕士研究生,主要研究方向为复杂系统建模、优化与控制. 
田彦涛,男,1958年生,教授,博士生导师,博士,中国自动化学会理事、机器人专业委员会常务委员,吉林省自动化学会理事长,吉林省通信学会副理事长,吉林省电机工程学会常务理事,中科院沈阳自动化研究所先进制造技术实验室学术委员会委员,《机器人》杂志编委.主要研究方向为复杂系统建模、优化与控制、机器视觉与模式识别等.近5年,完成国家“863” 计划项目1项、国家自然科学基金项目1项、吉林省科技发展计划项目3项、国家“863”智能机器人网点实验室基金项目1项;目前负责承担国家“863”计划和国家自然科学基金等国家级科研项目3项、吉林省科技发展计划重点项目3项.曾被评为国家机械部“优秀科技青年”、机械部和教育部跨世纪学科带头人,2004年被评为吉林省拔尖创新人才.发表学术论文70余篇.
樊泽华,男,1989年生,硕士研究生,主要研究方向为复杂系统建模、优化与控制.
更新日期/Last Update: 2013-11-28