Development of Complex Control System for the Autonomous Vehicle Niva

被引:0
作者
Podoprosvetov, Alexey [1 ]
Kiy, Konstantin [1 ]
Pavlovsky, Vladimir [1 ]
Anokhin, Dmitriy [2 ]
机构
[1] Russian Acad Sci, Keldysh Inst Appl Math, Moscow, Russia
[2] Russian State Univ Humanities, Moscow, Russia
来源
2019 XXI INTERNATIONAL CONFERENCE COMPLEX SYSTEMS: CONTROL AND MODELING PROBLEMS (CSCMP) | 2019年
基金
俄罗斯基础研究基金会;
关键词
autonomous lane following; real-time trajectory planning; machine vision; ROBOT; MAPS;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
this research is devoted to the development of complex multi-level control system for robotic vehicle Niva. This system implements computer vision algorithms for road lane recognition and algorithms of low-level vehicle control for real-time lane keeping. This paper describes architecture of the system, main algorithms, results of the experiments and plans for future research.
引用
收藏
页码:311 / 315
页数:5
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