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Intent prediction of vulnerable road users for trusted autonomous vehicles

Aboufarw, Khaled 2019, Intent prediction of vulnerable road users for trusted autonomous vehicles, Ph.D. thesis, Institute for Intelligent Systems Research and Innovation, Deakin University.

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Title Intent prediction of vulnerable road users for trusted autonomous vehicles
Author Aboufarw, Khaled
Institution Deakin University
School Institute for Intelligent Systems Research and Innovation
Faculty Faculty of Science, Engineering and Built Environment
Degree type Research doctorate
Degree name Ph.D.
Thesis advisor Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
Date submitted 2019-06
Summary This study investigated how future autonomous vehicles could be further trusted by vulnerable road users (such as pedestrians and cyclists) that they would be interacting with in urban traffic environments. It focused on understanding the behaviours of such road users on a deeper level by predicting their future intentions based solely on vehicle-based sensors and AI techniques. The findings showed that personal/body language attributes of vulnerable road users besides their past motion trajectories and physics attributes in the environment led to more accurate predictions about their intended actions.
Language eng
Indigenous content off
Field of Research 080104 Computer Vision
090204 Automotive Safety Engineering
Socio Economic Objective 970101 Expanding Knowledge in the Mathematical Sciences
Description of original 162 p.
Copyright notice ┬ęThe author
Free to Read? Yes
Use Rights Has requested CC license but not specified which
Persistent URL http://hdl.handle.net/10536/DRO/DU:30134967

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Created: Wed, 12 Feb 2020, 12:04:51 EST by Bec Miller

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.