International Journal of Internet, Broadcasting and Communication

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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On the Method of Deriving Weather Data to Secure the Reliability of the Variable Focus Function Camera

  • Received : 2022.04.05
  • Accepted : 2022.04.15
  • Published : 2022.05.31
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Abstract

Today, automobiles have become an indispensable element in people's lives, and the distribution of vehicles with various autonomous driving functions is expanding. Sensors such as cameras are used to recognize various situations on the road as an essential element for autonomous driving functions, but camera sensors have disadvantages that are vulnerable to bad weather. In this paper, we present a derivation process that defines external weather environment factors that negatively affect the performance of a camera for an autonomous vehicle. Through the proposed process, it is expected that it will contribute to securing the reliability of the camera and further improving the safety of autonomous vehicles.

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Acknowledgement

This work was supported by a grant from R&D program of the Korea Evaluation Institute of Industrial Technology (20014470)

References

  1. J. Shuttleworth, "SAE Standard News: J3016 Automated-Driving Graphic Update," 2019.
  2. R. O. Chavez-Garcia, J. Burlet, T. D. Vu, and O. Aycard, "Frontal object perception using radar and mono-vision," 2012 IEEE Intelligent Vehicles Symposium, pp. 159-164, 2012. DOI: https://doi.org/10.1109/IVS.2012.6232307
  3. M. Hnewa, and H. Radha, "Object detection under rainy conditions for autonomous vehicles: a review of state-ofthe-art and emerging techniques," IEEE Signal Processing Magazine, 38(1), pp.53-67, 2020. DOI: https://doi.org/10.1109/msp.2020.2984801
  4. N. Goberville, M. El-Yabroudi, M. Omwanas, Rojas, J., R. Meyer, Z. Asher, and I. Abdel-Qader, "Analysis of LiDAR and camera data in real world weather conditions for autonomous vehicle operations," SAE Int. J. Advanc. Curr. Prac. Mobil, 2, pp. 2428-2434, 2020. DOI: https://doi.org/10.4271/2020-01-0093
  5. Y. Zhang, A. Carballo, H. Yang, and K. Takeda, "Autonomous Driving in Adverse Weather Conditions: A Survey," arXiv preprint arXiv:2112.08936, 2021 DOI: https://doi.org/10.48550/arXiv.2112.08936
  6. R. Heinzler, P. Schindler, J. Seekircher, W. Ritter, and W. Stork, "Weather influence and classification with automotive lidar sensors," In 2019 IEEE intelligent vehicles symposium (IV), pp. 1527-1534, 2019 DOI: https://doi.org/10.1109/ivs.2019.8814205
  7. A. Mehra, M. Mandal, P. Narang, and V. Chamola, "Reviewnet: A fast and resource optimized network for enabling safe autonomous driving in hazy weather conditions," IEEE Transactions on Intelligent Transportation Systems, 22(7), pp. 4256-4266, 2020 DOI: https://doi.org/10.1109/tits.2020.3013099
  8. M. J. Kim, K. L. Choi, J. U. Kim, T. H. Kim, and Y. M. Kim, "On the Ensuring Safety and Reliability through the Application of ISO/PAS 21448 Analysis and STPA Methodology to Autonomous Vehicle," International Journal of Internet, Broadcasting and Communication, 13(3), pp. 169-177, 2021 DOI: https://doi.org/10.7236/IJIBC.2021.13.3.169
  9. M. J. Kim, T. H. Kim, and Y. M. Kim, "On the Integrated process of RSS model and ISO/DIS 21448 (SOTIF) for securing autonomous vehicle safety," Journal of the Korean Society of Systems Engineering, 17(2), pp. 129-138, 2021 DOI: https://doi.org/10.14248/JKOSSE.2021.17.2.129
  10. K. L. Choi, M.J. Kim, and Y. M. Kim, "On safety improvement through process establishment for SOTIF application of autonomous driving logistics robot," International journal of internet, broadcasting and communication, 14(1), pp. 209-218, 2022 DOI: https://doi.org/10.7236/IJIBC.2022.14.1.209
  11. E. Thorn, S. C. Kimmel, M. Chaka, and B. A. Hamilton, "A framework for automated driving system testable cases and scenarios," United State. Department of Transportation. National Highway Traffic Safety Administration, 2018
  12. A. H. Perry, L. J. & Symons, "Highway meteorology," CRC Press., 1991