Real-Time Trajectory Planning Method Based On N-Order Curve Optimization

Loading...
Thumbnail Image
Identifiers
Publication date
2020-10-08
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citations
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
Abstract
In recent years, many functionalities were developed for Automated Vehicles (AVs) and some of them with close-to-market prototypes. A required topic is the generation of continuous trajectories that reduces the amount of discrete and pre-coded instructions while leading the vehicle safely. Consequently, this work presents a novel real-time trajectory planning approach based on numerical optimization of n-order Bézier curves and lane-based information. The generation of a feasible trajectory considers the vehicle dimension while driving into a lane-corridor. The nonlinear optimization problem was solved with the Bound Optimization BY Quadratic Approximation method (BOBYQA), and it uses the passengers' comfort, safety, and vehicle dynamics as constraints of the problem. The solution is validated in a simulation environment using a bus with a length of 12 meters. Moreover, the validation considered the roundabouts due to its complexity, nevertheless, the solution is scalable to other scenarios.
Description
Publisher Copyright: © 2020 IEEE.
Citation
Lattarulo , R , Gonzalez , L & Perez , J 2020 , Real-Time Trajectory Planning Method Based On N-Order Curve Optimization . in L-F Barbulescu (ed.) , unknown . 2020 24th International Conference on System Theory, Control and Computing, ICSTCC 2020 - Proceedings , Institute of Electrical and Electronics Engineers Inc. , pp. 751-756 , 24th International Conference on System Theory, Control and Computing, ICSTCC 2020 , Virtual, Sinaia , Romania , 8/10/20 . https://doi.org/10.1109/icstcc50638.2020.9259787
conference