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Visual and Acoustic based Techniques for Motorcycle Collision Warning System with EEG Validation

MUZAMMEL, MUHAMMAD (2018) Visual and Acoustic based Techniques for Motorcycle Collision Warning System with EEG Validation. PhD thesis, Universiti Teknologi PETRONAS.

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In many countries, motorcyclist fatality rate is much higher than that of other vehicle drivers. Among many other factors, motorcycle rear-end collisions are also contributing to these biker fatalities. Collision detection systems can be used to minimize these fatalities. However, most of the existing collision detection systems do not identify the type of potential hazard faced by motorcyclists.

Item Type: Thesis (PhD)
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Divisions: Engineering > Electrical and Electronic
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 30 Sep 2019 10:50
Last Modified: 30 Sep 2019 10:50
URI: http://utpedia.utp.edu.my/id/eprint/19939

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