Outdoor Localization and Path Planning for Repositioning an Autonomous Electric Scooter
This paper describes the development of a self-driving e-scooter with the ability to safely travel without a rider along a pre-planned route using automated onboard control. Ride-share electric scooters are an alternative to walking or driving, but they are often ineffective or a nuisance due to their placement after usage. An autonomous driving framework specific to an e-scooter, including path planning and state estimation, enables short-distance repositioning and parking. This paper describes the framework's hardware and software components along with design choices and pitfalls. We also present results of real-world autonomous navigation, including the effectiveness of our localization methods.
Authors
- J.-J. Lee (ORCID: https://orcid.org/0009-0008-1258-6527)
- Derek A. Paley (ORCID: https://orcid.org/0000-0002-3086-2395)
- Srijal S. Poojari (ORCID: https://orcid.org/0000-0002-5964-7824)
Institutions
- University of Maryland, College Park (US)
Publication Details
- Journal
- IEEE Transactions on Intelligent Vehicles
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1109/tiv.2024.3477271
- Citations
- 1
- Primary Topic
- Robotic Path Planning Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.25