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 language | English |
|---|---|
| Title of host publication | Decision-Making Techniques for Autonomous Vehicles |
| Publisher | Elsevier |
| Pages | 117-167 |
| Number of pages | 51 |
| ISBN (Electronic) | 9780323983396 |
| ISBN (Print) | 9780323985499 |
| DOIs | |
| Publication status | Published - 1 Jan 2023 |
Keywords
- Autonomous vehicles
- Motion planning
- Path planning
- Speed planning
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