A Review on Lane Changing for Intelligent Vehicle

2015 ◽  
Vol 8 (3) ◽  
pp. 184-194 ◽  
Author(s):  
Ronghui Zhang ◽  
Fuliang Li ◽  
Xuecai Yu ◽  
Zhonghua Zhang ◽  
Feng You ◽  
...  
Keyword(s):  
Intelligent Vehicle ◽  
Lane Changing

Research on active collision avoidance algorithm for intelligent vehicle based on improved artificial potential field model

2020 ◽  
Vol 17 (3) ◽  
pp. 172988142091123
Author(s):  
Chaochun Yuan ◽  
Shuofeng Weng ◽  
Jie Shen ◽  
Long Chen ◽  
Youguo He ◽  
...  
Keyword(s):  
Collision Avoidance ◽  
Potential Field ◽  
Field Method ◽  
Superior Performance ◽  
Intelligent Vehicle ◽  
Artificial Potential Field ◽  
Sideslip Angle ◽  
Lane Changing ◽  
Model Based ◽  
Braking Process

In this article, an active collision avoidance based on improved artificial potential field is proposed to satisfy collision avoidance for intelligent vehicle. A longitudinal safety distance model based on analysis of braking process and a lane-changing safety spacing model based on minimum time of lane changing under the constraint of sideslip angle are presented. In addition, an improved artificial potential field method is introduced, which represents the influence of environmental information with artificial force. Simulation results demonstrate the superior performance of the proposed algorithm over collision avoidance for intelligent vehicle.

scholarly journals Trajectory planning and optimisation method for intelligent vehicle lane changing emergently

2018 ◽  
Vol 12 (10) ◽  
pp. 1336-1344 ◽  
Author(s):  
Haobin Jiang ◽  
Kaijin Shi ◽  
Junyu Cai ◽  
Long Chen
Keyword(s):  
Trajectory Planning ◽  
Intelligent Vehicle ◽  
Lane Changing

scholarly journals Lane Changing Trajectory Planning and Tracking Controller Design for Intelligent Vehicle Running on Curved Road

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Lie Guo ◽  
Ping-Shu Ge ◽  
Ming Yue ◽  
Yi-Bing Zhao
Keyword(s):  
Controller Design ◽  
Tracking Error ◽  
Lyapunov Theory ◽  
Intelligent Vehicle ◽  
Curvature Radius ◽  
Position Tracking ◽  
Lane Changing ◽  
Loop Control ◽  
Tracking Controller ◽  
Curved Road

To enhance the active safety and realize the autonomy of intelligent vehicle on highway curved road, a lane changing trajectory is planned and tracked for lane changing maneuver on curved road. The kinematics model of the intelligent vehicle with nonholonomic constraint feature and the tracking error model are established firstly. The longitudinal and lateral coupling and the difference of curvature radius between the outside and inside lane are taken into account, which is helpful to enhance the authenticity of desired lane changing trajectory on curved road. Then the trajectory tracking controller of closed-loop control structure is derived using integral backstepping method to construct a new virtual variable. The Lyapunov theory is applied to analyze the stability of the proposed tracking controller. Simulation results demonstrate that this controller can guarantee the convergences of both the relative position tracking errors and the position tracking synchronization.

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