Abstract
The motion trajectory optimization method for an intelligent vehicle in the planning and control of the trajectory of an intelligent vehicle under high-speed driving working conditions is difficult to research. In order to ensure that the intelligent vehicle runs steadily under high-speed driving working conditions, an improved-genetic-algorithm-based motion trajectory-planning method was introduced to optimize the generated trajectory. The trajectory optimization method considers the influence of the dynamic constraints to ensure that the vehicle runs steadily under high-speed driving working conditions. First, a B-spline curve is used to parameterize the generated trajectory. Then, the improved genetic algorithm is used to optimize the parameters of the B-spline curve so that the parameterized trajectory satisfies the dynamic constraints and so that the optimized trajectory is feasible. The simulation results showed that the optimized trajectory satisfies the dynamic constraints better, that the optimized effect is effective and that the vehicle steers steadily under high-speed driving working conditions.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
