Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
Beijing Normal-Hong Kong Baptist University · Hong Kong Baptist University · +8 more institutions
Abstract
Intelligent vehicles (IVs) have gained worldwide attention due to their increased convenience, safety advantages, and potential commercial value. Despite predictions of commercial deployment by 2025, implementation remains limited to small-scale validation, with precise tracking controllers and motion planners being essential prerequisites for IVs. This article reviews state-of-the-art motion planning methods for IVs, including pipeline planning and end-to-end planning methods. The study examines the selection, expansion, and optimization operations in a pipeline method, while it investigates training approaches and validation scenarios for driving tasks in end-to-end methods. Experimental platforms are…
Citation impact
- FWCI
- 56.67
- Percentile
- 100%
- References
- 199
Authors
11Topics & keywords
- Software deployment
- Pipeline (software)
- Computer science
- Scale (ratio)
- Motion (physics)
- Systems engineering
- Motion planning
- Risk analysis (engineering)