On-Road Approaching Motorcycle Detection and Tracking Techniques: A Survey

Amir, Mukhtar and Xia, Likun and Boon, Tang Tong and Abu Kassim, Khairil Anwar (2013) On-Road Approaching Motorcycle Detection and Tracking Techniques: A Survey. In: IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Nov 29- Dec 01, 2013, Batu Ferringhi, Malaysia .


Official URL: http://acscrg.com/iccsce/2013/


Driver Assistance System (DAS) plays a vital and promising role in most intelligent vehicles technologies by alerting the motorists about any possible collision. In such systems robustness, reliability and real-time detection are critical. This paper focused on on-road detection of approaching motorcycles, where sensor is preferably attached on the rear side of vehicle. More attention is given to the applicability of methods and technologies on motorcycle detection and recognition, as motorcycles are smaller and harder to be noticed by vehicle driver. First we discuss the problem of on-road motorcycle detection using different sensors followed by review of motorcycle detection research. Then, we discuss types of sensor to set the stage for vision-based motorcycle detection. Methods used for hypothesis generation (HG) and hypothesis verification (HV) are mentioned before the integration of detection and tracking systems. Finally, we present a critical overview of the methods discussed and assess the potential of these methodologies for the future research and applications.

Item Type:Conference or Workshop Item (Speech)
Subjects:T Technology > T Technology (General)
Academic Subject One:Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Research Institutes > Institute for Health Analytics
ID Code:10917
Deposited By: Dr. L Xia
Deposited On:16 Dec 2013 23:47
Last Modified:16 Dec 2013 23:47

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