차량 네트워크에서 고속 영상처리 기반 스마트 카메라 기술

Abstract

A rapid development of semiconductors, sensors and mobile network technologies has enable that the embedded device includes high sensitivity sensors, wireless communication modules and a video processing module for vehicular environment, and many researchers have been actively studying the smart car technology combined on the high performance embedded devices. The vehicle is increased as the development of society, and the risk of accidents is increasing gradually. Thus, the advanced driver assistance system providing the vehicular status and the surrounding environment of the vehicle to the driver using various sensor data is actively studied. In this paper, we design and implement the smart vehicular camera device providing the V2X communication and gathering environment information. And we studied the method to create the metadata from a received video data and sensor data using video analysis algorithm. In addition, we invent S-ROI, D-ROI methods that set a region of interest in a video frame to improve calculation performance. We performed the performance evaluation for two ROI methods. As the result, we confirmed the video processing speed that S-ROI is 3.0 times and D-ROI is 4.8 times better than a full frame analysis. 논문 15-40-01-20 The Journal of Korean Institute of Communications and Information Sciences '15-01 Vol.40 No.01 http://dx.doi.org/10.7840/kics.2015.40.1.152 152 ※ 이 논문은 2014년 정부(미래창조과학부)의 재원으로 (재)스마트 IT 융합 시스템 연구단(글로벌프론티어사업)의 지원을 받아 수행된 연구임((재)스마트 IT 융합시스템 연구단-2011-0031863) First Author : Pusan National University Dept. of Electrical and Computer Engineering, sonsang@eslab.re.kr, 정회원 ° Corresponding Author : Pusan National University Dept. of Electrical and Computer Engineering, yunju@pusan.ac.kr, 종신회원 * Pusan National University Dept. of Electrical and Computer Engineering, twkim_@eslab.re.kr, yongsu.jeon@eslab.re.kr, 학생회원 논문번호:KICS2014-09-380, Received September 30, 2014; Revised December 1, 2014; Accepted January 8, 2015 논문 / 차량 네트워크에서 고속 영상처리 기반 스마트 카메라 기술