Effective Semantic Video Classification Model for Driverless Car
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Neuroscience,Computer Science Applications,Software,Automotive Engineering,Applied Mathematics,Control and Systems Engineering,Aerospace Engineering,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13177-023-00370-4.pdf
Reference34 articles.
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2. Siddiqi, K., Raza, A.D., Muhammad, S.S.: Visible light communication for V2V intelligent transport system. International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom), 1–4 (2016).https://doi.org/10.1109/COBCOM.2016.7593510
3. Siebert, F.M., Ringhand, M., Englert, F., Hoffknecht, M., Edwards, T., Rotting, M.: Braking bad –ergonomic design and implications for the safe use of shared E-scooters. 140, 105294 (2021). https://doi.org/10.1016/j.ssci.2021.105294
4. Shimazaki, K., Ito, T., Fujii, Ai., Ishida, T.: The public’s understanding of the functionality and limitations of automatic braking in Japan. Int. Assoc. Traff. Saf. Sci. 42(4), 221–229 (2018). https://doi.org/10.1016/j.iatssr.2017.11.002
5. Satzoda, R.K., Trivedi, M.M.: Looking at vehicles in the night: detection and dynamics of rear lights. IEEE Trans. Intell. Transp. Syst. 20(12), 4297–4307 (2019). https://doi.org/10.1109/TITS.2016.2614545
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