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
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¿ø¹®¼ö·Ïó(Citation) |
VOL 18 NO. 02 PP. 0258 ~ 0267 (2022. 04) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (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.
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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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