Type of Submission

Poster

Keywords

Robot Operating System, autonomous, H-Bridge, Dijkstra, LiDAR, GPS

Proposal

Cedarville University’s Autonomous Golf Cart Senior Design Project’s mission is to provide engineering students with hands on experience with industry standard intelligent vehicle technologies, solve open-ended, multi-dimensional problems, and provide an autonomous transportation service to the greater campus community. Our autonomous technology will share the sidewalks; therefore, the public image of our autonomous routing service is critically linked with its technical performance. The autonomous golf cart has two major design areas: the cart’s hardware and its software. Within hardware, our team created functional braking and an H-Bridge for reversing. Within software, our team moved the codebase to a new software framework, implemented dynamic routing, and began obstacle avoidance using LiDAR.

Start Date

4-8-2020 1:00 PM

End Date

4-22-2020 6:00 PM

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Publication Date

April 2020

Included in

Engineering Commons

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Apr 8th, 1:00 PM Apr 22nd, 6:00 PM

Autonomous Golf Cart

Cedarville University’s Autonomous Golf Cart Senior Design Project’s mission is to provide engineering students with hands on experience with industry standard intelligent vehicle technologies, solve open-ended, multi-dimensional problems, and provide an autonomous transportation service to the greater campus community. Our autonomous technology will share the sidewalks; therefore, the public image of our autonomous routing service is critically linked with its technical performance. The autonomous golf cart has two major design areas: the cart’s hardware and its software. Within hardware, our team created functional braking and an H-Bridge for reversing. Within software, our team moved the codebase to a new software framework, implemented dynamic routing, and began obstacle avoidance using LiDAR.

 

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