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

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12 Citas (Scopus)
8 Descargas (Pure)

Resumen

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.
Idioma originalInglés
Título de la publicación alojadaunknown
EditoresLucian-Florentin Barbulescu
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas751-756
Número de páginas6
ISBN (versión digital)978-1-7281-9809-5, 9781728198095
ISBN (versión impresa)978-1-7281-9810-1
DOI
EstadoPublicada - 8 oct 2020
Evento24th International Conference on System Theory, Control and Computing, ICSTCC 2020 - Virtual, Sinaia, Rumanía
Duración: 8 oct 202010 oct 2020

Serie de la publicación

Nombre2020 24th International Conference on System Theory, Control and Computing, ICSTCC 2020 - Proceedings

Conferencia

Conferencia24th International Conference on System Theory, Control and Computing, ICSTCC 2020
País/TerritorioRumanía
CiudadVirtual, Sinaia
Período8/10/2010/10/20

Palabras clave

  • Trajectory
  • Roads
  • Vehicle dynamics
  • Planning
  • Geometry
  • Task analysis
  • Linear programming

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/875530/EU/SHared automation Operating models for Worldwide adoption/SHOW
  • Funding Info
  • H2020 SHOW No 875530

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