Takemura, N., Nakamura, Y. and Ishiguro, H. (2011) A Path Planning Method for Human Tracking Agents Using Variable-Term Prediction Based on Dynamic K-Nearest Neighbor Algorithm. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), San Francisco, 25-30 September 2011, 2867-2872.

has been cited by the following article:

• TITLE: Trajectory Planning and Optimal Lateral Stability Control under Multiple Barriers for Intelligent Vehicle

  AUTHORS: Zhonghua Zhang, Xuecai Yu, Zhijie Jin, Yejun Ying, Rongwei Hua, Xuwei Lin

  KEYWORDS: Intelligent Vehicle, Motion Planning, Optimal Control, Cellular Automata, Computer Simulation

  JOURNAL NAME: World Journal of Engineering and Technology, Vol.3 No.3, July 14, 2015

  ABSTRACT: Based on analysis and evaluation on the circular, cosine type, constant-speed offset type and ladder type lane change trajectory, this paper proposes an intelligent vehicle lane change trajectory model under multiple barriers, proposes its dynamic constraints in the light of the cellular automata theory, obtains the desired lane change trajectory using this method, and finally changes into a simple coefficient selection problem. Secondly, based on the quadratic optimal control theory, this paper proposes a state space analysis method of intelligent vehicle lateral control, and designs an optimal controller for lateral stability of H2 vehicles. The computer simulation results show that compared with other vehicle trajectory methods, the method in this paper is able to simply and rapidly describe the trajectory, and can describe the intelligent vehicle lane change trajectory under a variety of situations, wherein the controller is reliable and capable of fast convergence.