Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274998
Title: Visual perception modelling for intelligent virtual driver agents in synthetic driving simulation
Author: Dumbuya, Abdulai Don
ISNI:       0000 0001 3434 4555
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2003
Availability of Full Text:
Access from EThOS:
Access from Institution:
Abstract:
This thesis documents new research into the modelling of driver vision and the integration of a new vision model into a microscopic traffic simulation tool. It is proposed and demonstrated that modelling of driver vision enhances the realism of simulated driver decision-making and behaviour, in turn, leading to improved simulation of driver interactions and traffic flow. Driving and traffic related research has traditionally fallen into the three distinct areas of driver psychology, traffic and highway engineering and vehicle dynamics, with modelling or experimentation in any of these areas supported by significant approximation in the others. In contrast to this, the vision research discussed here has been carried out in a context that aims to integrate all of these areas equally. This has been realised through the implementation of a new modelling environment, Synthetic Driving SIMulation, SD-SIM.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.274998  DOI: Not available
Keywords: Driver vision
Share: