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http://dx.doi.org/10.6109/jkiice.2018.22.1.54

Driving Condition based Dynamic Frame Skip Method for Processing Real-time Image Recognition Methods in Smart Driver Assistance Systems  

Son, Sanghyun (R&D Center, SEMES)
Jeon, Yongsu (Department of Electrical and Computer Engineering, Pusan National University)
Baek, Yunju (School of Computer Science and Engineering, Pusan National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.1, 2018 , pp. 54-62 More about this Journal
Abstract
According to evolution of technologies, many devices related to various applications were researched. The advanced driver assistance system is a famous technique effected from the evolution. The technique of driver assistance uses image recognition methods to collect exactly information around the vehicle. The computing power of driver assistance device has become more improved than in the past. However, it's difficult that processed various recognition methods at real-time. We propose new frame skip method to process various recognition methods at real-time in the limited hardware. In the previous researches, frame skip rate was set up static values, thus the number of processed frames through recognition methods was smaller. We set up the frame skip rate dynamically using a driving condition of vehicle through speed and acceleration value, in addition, the number of processed frames was maximized. The performance is improved more 32.5% than static frame skip method.
Keywords
Driving condition; Dynamic frame skip; Real-time image recognition processing; SDAS;
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Times Cited By KSCI : 2  (Citation Analysis)
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