Building an electric model vehicle with obstacle avoidance system

Andrei Fenesan, Owen Mcaree, Wen Hua Chen, Teodor Pana, Tom Bamber

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper we propose an electric model vehicle with its own system of acquisition and computation of the information, on which we will test the collision control algorithms in indoors and outdoors with GPS localization. The algorithm used in this project is the Potential Field method. We chose to use a LIDAR sensor that can acquire distance data from the environment in 2D. The main objective of these tests is to make obstacle avoidance with mobile robot in Real-Time.

Original languageEnglish
Title of host publicationICAC 12 - Proceedings of the 18th International Conference on Automation and Computing
Subtitle of host publicationIntegration of Design and Engineering
Pages358-362
Number of pages5
Publication statusPublished - 2012
Event18th International Conference on Automation and Computing, ICAC 2012 - Loughborough, Leicestershire, United Kingdom
Duration: 7 Sept 20128 Sept 2012

Publication series

NameICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering

Conference

Conference18th International Conference on Automation and Computing, ICAC 2012
Country/TerritoryUnited Kingdom
CityLoughborough, Leicestershire
Period7/09/128/09/12

Keywords

  • control algorithms
  • dynamic and kinematic model
  • electric model
  • LIDAR
  • Potential Field

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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