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Ȩ Ȩ > ¿¬±¸¹®Çå > ¿µ¹® ³í¹®Áö > JIPS (Çѱ¹Á¤º¸Ã³¸®ÇÐȸ)

JIPS (Çѱ¹Á¤º¸Ã³¸®ÇÐȸ)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Implementation of Image Transmission Based on Vehicle-to-Vehicle Communication
¿µ¹®Á¦¸ñ(English Title) Implementation of Image Transmission Based on Vehicle-to-Vehicle Communication
ÀúÀÚ(Author) Wonkyung Kim   Kukheon Lee   Sangjin Lee   Doowon Jeong   Changhao Piao   Xiaoyue Ding   Jia He   Soohyun Jang   Mingjie Liu  
¿ø¹®¼ö·Ïó(Citation) VOL 18 NO. 02 PP. 0258 ~ 0267 (2022. 04)
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(Korean Abstract)
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(English Abstract)
Weak over-the-horizon perception and blind spot are the main problems in intelligent connected vehicles (ICVs). In this paper, a V2V image transmission-based road condition warning method is proposed to solve them. The encoded road emergency images which are collected by the ICV are transmitted to the on-board unit (OBU) through Ethernet. The OBU broadcasts the fragmented image information including location and clock of the vehicle to other OBUs. To satisfy the channel quality of the V2X communication in different times, the optimal fragment length is selected by the OBU to process the image information. Then, according to the position and clock information of the remote vehicles, OBU of the receiver selects valid messages to decode the image information which will help the receiver to extend the perceptual field. The experimental results show that our method has an average packet loss rate of 0.5%. The transmission delay is about 51.59 ms in low-speed driving scenarios, which can provide drivers with timely and reliable warnings of the road conditions.
Å°¿öµå(Keyword) Convolutional Neural Network (CNN)   Deep Learning   Digital Forensics   User Interest   User Profiling   internet of vehicles   Real-Time Image Transmission   Road Condition Warning   V2X  
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