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Motion planning

  • Jorge Villagra
  • , Felipe Jiménez
  • , Joshué Pérez
  • , Ivan Garcia-Daza
  • , Antonio Artuñedo
  • , Miguel Clavijo
  • , Alberto Díaz-Álvarez
  • , David Fernandez-Lorca
  • , Ray Alejandro Lattarulo
  • , Jose Ángel Matute
  • , Jorge Godoy
  • , Rubén Izquierdo-Gonzalo
  • , Marta Alonso
  • Consejo Superior de Investigaciones Científicas (CSIC)
  • Technical University of Madrid
  • University of Alcalá

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

Motion planning is responsible for computing a safe, comfortable, and dynamically feasible trajectory from the automated vehicle's current state to the goal configuration provided by the behavioral layer of the decision-making system. It considers information about static and dynamic obstacles around the vehicle and generates a collision-free trajectory that satisfies dynamic and kinematic constraints on the motion of the vehicle. This chapter defines the problem and provides a complete overview of the different existing techniques to obtain (i) appropriate paths along the drivable space; and (ii) the most suitable speed profile to follow that path. Although path planning is a well-established discipline in robotics, the focus of the chapter is on describing the different approaches under the perspective, needs, and constraints of on-road vehicles.

Original languageEnglish
Title of host publicationDecision-Making Techniques for Autonomous Vehicles
PublisherElsevier
Pages117-167
Number of pages51
ISBN (Electronic)9780323983396
ISBN (Print)9780323985499
DOIs
Publication statusPublished - 1 Jan 2023

Keywords

  • Autonomous vehicles
  • Motion planning
  • Path planning
  • Speed planning

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