Tunable and stable real-time trajectory planning for urban autonomous driving
Authors:
- 1 September 2015
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 250-256
Abstract
This paper investigates real-time on-road motion planning algorithms for autonomous passenger vehicles (APV) in urban environments, and propose a computationally efficient planning formulation. Two key properties, tunability and stability, are emphasized when designing the proposed planner. The main contributions of this paper are: · A computationally efficient decoupled space-time trajectory planning structure. · The formulation of optimization-free elastic-band-based path planning and speed-constraint-based temporal planning routines with pre-determined runtime. · Identification of continuity problems with previous cost-based planners that cause tunability and stability issues.Keywords
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