Real-Time Motion Planning for Agile Autonomous Vehicles
University of Illinois Urbana-Champaign · Massachusetts Institute of Technology
Abstract
Planning the pathof an autonomous, agile vehicle ina dynamic environment is a very complex problem, especially when the vehicle is required to use its full maneuvering capabilities. Recent efforts aimed at using randomized algorithms for planning the path of kinematic and dynamic vehicles have demonstrated considerable potential for implementation on future autonomous platforms. This paper builds upon these efforts by proposing a randomized path planning architecture for dynamical systems in the presence of xed and moving obstacles. This architecture addresses the dynamic constraints on the vehicle’s motion, and it provides at the same time a consistent decoupling between low-level control and motion planning.…
Citation impact
- FWCI
- 21.41
- Percentile
- 100%
- References
- 42
Authors
3Topics & keywords
- Agile software development
- Motion planning
- Computer science
- Motion (physics)
- Aerospace engineering
- Aeronautics
- Simulation
- Control engineering
- Sustainable cities and communities