Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

Implementation of Image Transmission Based on Vehicle-to-Vehicle Communication

  • Piao, Changhao (School of Automation, Chongqing University of Posts and Telecommunications) ;
  • Ding, Xiaoyue (School of Automation, Chongqing University of Posts and Telecommunications) ;
  • He, Jia (School of Automation, Chongqing University of Posts and Telecommunications) ;
  • Jang, Soohyun (Korea Electronics Technology Institute) ;
  • Liu, Mingjie (School of Automation, Chongqing University of Posts and Telecommunications)
  • Received : 2022.01.21
  • Accepted : 2022.03.25
  • Published : 2022.04.30
Download PDF
⟨ Previous Next ⟩

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.

Keywords

Acknowledgement

This paper is supported by the Office of Science and Technology of Chongqing (No. cstc2019jscx-mbdxX0052, Development and application of L4 level autonomous driving).

References

  1. National Bureau of Statistics of the People's Republic of China, China Statistical Yearbook 2020. Beijing: China Statistics Press, 2020.
  2. B. He and T. Li, "An offloading scheduling strategy with minimized power overhead for Internet of vehicles based on mobile edge computing," Journal of Information Processing Systems, vol. 17, no. 3, pp. 489-504, 2021. https://doi.org/10.3745/JIPS.01.0077
  3. M. M. Rad, A. M., Rahmani, A. Sahafi, and N. N. Qader, "Social Internet of Things: vision, challenges, and trends," Human-centric Computing and Information Sciences, vol. 10, article no. 52, 2020. https://doi.org/10.1186/s13673-020-00254-6
  4. J. K. Park and T. M. Chung, "Boundary-RRT* algorithm for drone collision avoidance and interleaved path re-planning," Journal of Information Processing Systems, vol. 16, no. 6, pp. 1324-1342, 2020. https://doi.org/10.3745/JIPS.04.0196
  5. L. Tang and C. Chen, "Integration development trend of the internet of vehicles industry," Telecommunications Science, vol. 35, no. 11, pp. 96-100, 2019.
  6. T. Kim, I. Y. Jung, and Y. C. Hu, "Automatic, location-privacy preserving dashcam video sharing using blockchain and deep learning," Human-centric Computing and Information Sciences, vol. 10, article no. 36, 2020. https://doi.org/10.1186/s13673-020-00244-8
  7. J. Li, Y. Zhang, M. Shi, Q. Liu, and Y. Chen, "Collision avoidance strategy supported by LTE-V-based vehicle automation and communication systems for car following," Tsinghua Science and Technology, vol. 25, no. 1, pp. 127-139, 2020. https://doi.org/10.26599/tst.2018.9010143
  8. A. Khalil, N. Minallah, I. Ahmed, K. Ullah, J. Frnda, and N. Jan, "Robust mobile video transmission using DSTS-SP via three-stage iterative joint source-channel decoding," Human-centric Computing and Information Sciences, vol. 11, article no. 42, 2021. https://doi.org/10.22967/HCIS.2021.11.042
  9. D. F. Chu, Z. E. Wang, and Y. J. Qiu, "Research on transmission strategy for real-time video stream under LTE-V2X," Automotive Engineering, vol. 43, no. 6, pp. 815-824, 2021.
  10. F. Hui, M. Xing, J. Guo, and S. Tang, "Forward collision warning strategy based on vehicle-to-vehicle communication. Journal of Computer Applications, vol. 41, no. 2, pp. 498-503, 2021.
  11. W. Song, S. Zou, Y. Tian, S. Sun, S. Fong, K. Cho, and L. Qiu, "A CPU-GPU hybrid system of environment perception and 3D terrain reconstruction for unmanned ground vehicle," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1445-1456, 2018. https://doi.org/10.3745/JIPS.02.0099
  12. R. H. Rasshofer, M. Spies, and H. Spies, "Influences of weather phenomena on automotive laser radar systems," Advances in Radio Science, vol. 9, pp. 49-60, 2011. https://doi.org/10.5194/ars-9-49-2011