Connected autonomous electromobility: Visual navigation and charging analytic frameworks

Research output: ThesisDoctoral Thesis

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The growing ubiquity of electric vehicles is often characterised through its increasing autonomy and connectivity. This thesis presents its investigations into eIectromobility applications across computer vision-based autonomous driving, data management and analyses of electric vehicle charging stations. The study into vision-based navigation aims to address the problem of developing an autonomous driving system using the camera, describing applications for visual odometry and semantic segmentation. Telematics from The REV Project's charging station network effectuates the investigation of charging trends around Perth. This thesis further proposes a unified telemetry platform for data monitoring, visualisation and analytics for charging stations and EV fleets.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
  • Braunl, Thomas, Supervisor
  • Sreeram, Victor, Supervisor
Thesis sponsors
Award date15 Jan 2020
Publication statusUnpublished - 2020


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