Model Predictive Control of Autonomous Vehicles Using Sequence Convex Programming

A planner for autonomous vehicles is presented in this paper. The purpose of this algorithm is to plan a collision-avoidance trajectory with cheap computation. We consider model predictive control (MPC) of the vehicle in the presence of obstacles, in which the optimization usually admits nonlinear p...

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Veröffentlicht in:	2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) S. 925 - 929
Hauptverfasser:	Wang, Haoyue, Sun, Zhongqi, Deng, Yunshan, Xia, Yuanqing
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 19.11.2022
Schlagworte:	autonomous vehicles Computational complexity Iterative methods mode1 predictive control Numerical models Prediction algorithms Programming Real-time systems sequential convex planning Trajectory trajectory planning
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