A Novel clustering and neural based technique for segmentation and classification of road objects
thesis
posted on 2023-11-02, 01:37 authored by Tejy Kinattukara JobachanThe segmentation and classification of roadside objects is important for road maintenance and road safety. Many road safety reports and research papers show that the majority of road fatalities are from hit objects, head on collisions and angle type crashes. Many such fatalities can be avoided if the risk factors involved are identified earlier and fixed suitably. As a result, it is quite imperative to develop advanced segmentation as well as classification techniques to identify different road objects in order to create safer roads.
History
Editor
Citizen JLocation
Central Queensland UnversityAdditional Rights
I hereby grant to Central Queensland University or its agents the right to archive and to make available my thesis or dissertation in whole or in part through Central Queensland University’s Institutional Repository, ACQUIRE, in all forms of media, now or hereafter known. I retain all copyright, including the right to use future works (such as articles or books), all or part of this thesis or dissertation.Open Access
- Yes
Era Eligible
- No
Supervisor
Professor Brijesh VermaThesis Type
- Doctoral Thesis
