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AuthorYousuf, Sabiha
AuthorAl-Mannai, Roudha
AuthorAl-Naemi, Bana
AuthorAl-Maadeed, Somaya
AuthorNawaz, Naveed
AuthorChaari, Mohamed
Available date2024-10-14T09:22:32Z
Publication Date2023-01-01
Publication Name2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
Identifierhttp://dx.doi.org/10.1109/ISNCC58260.2023.10323714
CitationYousuf, S., Al-Mannai, R., Al-Naemi, B., Al-Maadeed, S., Nawaz, N., & Chaari, M. (2023, October). Smart System for a Self-Driving Scooter Prototype. In 2023 International Symposium on Networks, Computers and Communications (ISNCC) (pp. 1-5). IEEE.‏
ISBN[9798350335590]
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85179838672&origin=inward
URIhttp://hdl.handle.net/10576/60106
AbstractTraffic problems constitute one of the major issues addressed worldwide. Some universities with an increasing number of students moving at a fast pace face transportation problems almost every day. Hence, this paper aims to solve this problem by developing an alternative transportation service, 'Smart Scooter,' which is a scooter that can be driven autonomously. The Smart Scooter is used to serve the purpose of reducing the number of problems caused by traffic within campuses. Sensors associated with other hardware components are used to accomplish the goal of this project. An application is also created to assist the users in accessing the scooter's functions. Additionally, a survey is also conducted to gather the feedback of students and people in general to better understand their needs and demands related to these types of services. Testing the scooter for different routes shows an average error of 4.8% in reaching the final destination and 100% accuracy in obstacle detection at the front.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectmoving object detection
obstacle avoidance
robot control
route planning
self-driving cars
TitleSmart System for a Self-Driving Scooter Prototype
TypeConference
Pagination1-5
dc.accessType Abstract Only


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