Vulnerable Road Users Detection using Convolutional Deep
Feedforward Network

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Vulnerable Road Users Detection using Convolutional Deep Feedforward Network

A new convolutional deep feedforward network (C-DFN) is proposed to detect vulnerable road users at 57.9% misclassification rate using Caltech Dataset. Instead of going deeper, three C-DFN is stacked to achieve 43.4% misclassification rate. Part-based C-DFN further reduces the rate of 42.5% to tackl...

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Bibliographic Details
Main Author:	Lau, Mian Mian
Format:	Thesis
Published:	Curtin University 2021
Online Access:	http://hdl.handle.net/20.500.11937/83745

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