Review of on-road approaching motorcycle detection and tracking techniques. In: Southeast Asia Safer Mobility Symposium 2013, 21 October 2013, Road Transport Academy (APJ), Melaka, Malaysia. (In Press) (2013)
Abstract
Driver Assistance System (DAS) aiming to alert driver about danger and possible collision has become one of the promising future technologies. In these DAS, robustness, reliability and real-time detection are critical. Our focus is on on-road detection of approaching motorcycles, where sensor is preferably attached to rear side of vehicle. Throughout this paper, we give more focus on applicability of the methods and technologies on motorcycle detection and recognition, as motorcycles are smaller and harder to be noticed by other 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 (Paper) |
|---|---|
| Keywords: | Driver assistance system, Intelligent vehicles, Motorcycle detection, On-road, Real-time, Tracking |
| Taxonomy: | By Subject > College of Engineering > Mechanical Engineering > Automotive |
| Local Content Hub: | Subjects > College of Engineering |
| Depositing User: | Farleen Azrina Zamberi |
| Date Deposited: | 08 Aug 2022 07:21 |
| Last Modified: | 08 Aug 2022 07:21 |
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