Resumen
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.
| Idioma original | Inglés |
|---|---|
| Título de la publicación alojada | Decision-Making Techniques for Autonomous Vehicles |
| Editorial | Elsevier |
| Páginas | 117-167 |
| Número de páginas | 51 |
| ISBN (versión digital) | 9780323983396 |
| ISBN (versión impresa) | 9780323985499 |
| DOI | |
| Estado | Publicada - 1 ene 2023 |
Huella
Profundice en los temas de investigación de 'Motion planning'. En conjunto forman una huella única.Citar esto
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