Camara, Fanta, Waltham, Chris, Churchill, Grey et al. (1 more author) (2023) OpenPodcar:An Open Source Vehicle for Self-Driving Car Research. Journal of Open Hardware. ISSN 2514-1708
Abstract
OpenPodcar is a low-cost, open source hardware and software, autonomous vehicle research platform based on an off-the-shelf, hard-canopy, mobility scooter donor vehicle. Hardware and software build instructions are provided to convert the donor vehicle into a low-cost and fully autonomous platform. The open platform consists of (a) hardware components: CAD designs, bill of materials, and build instructions; (b) Arduino, ROS and Gazebo control and simulation software files which provide standard ROS interfaces and simulation of the vehicle; and (c) higher-level ROS software implementations and configurations of standard robot autonomous planning and control, including the move_base interface with Timed-Elastic-Band planner which enacts commands to drive the vehicle from a current to a desired pose around obstacles. The vehicle is large enough to transport a human passenger or similar load at speeds up to 15 km/h, for example for use as a last-mile autonomous taxi service or to transport delivery containers similarly around a city center. It is small and safe enough to be parked in a standard research lab and be used for realistic human-vehicle interaction studies. System build cost from new components is around USD7,000 in total in 2022. OpenPodcar thus provides a good balance between real world utility, safety, cost and research convenience.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Author(s). |
Keywords: | Autonomous vehicle,automation,self-driving car,mobility scooter,open source platform |
Dates: |
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Institution: | The University of York |
Depositing User: | Pure (York) |
Date Deposited: | 27 Sep 2023 10:00 |
Last Modified: | 08 Jan 2025 00:13 |
Published Version: | https://doi.org/10.5334/joh.46 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.5334/joh.46 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:203734 |