@inproceedings{8d1606412a9d4dbcbac12db1ca998d77,
title = "Traffic Signal State Broadcasting Over C-V2X Communication Technique for Autonomous Shuttle Service",
abstract = "For conventional autonomous vehicle development, image detection plays an essential role in perception tasks. The more comprehensive detection scenarios to cover, the more computing power to consume. In this paper, we proposed an implementation work to demonstrate the traffic signal state broadcasting for an end-to-end autonomous shuttle service. According to the experimental result, the proposed system can significantly offload the image detection task in obtaining the traffic signal state. Additionally, the non-line-of-sight traffic signal state perception is effectively available via the C-V2X wireless communication technique to secure the safety of an end-to-end autonomous shuttle transportation service.",
keywords = "Autonomous Vehicle, C-V2X, ITS, SPAT",
author = "Peng, {Cheng Wei} and Hsu, {Chen Chien} and Wang, {Wei Yen} and Huang, {Sheng Chung}",
note = "Funding Information: Acknowledgments. This work was financially supported by the “Chinese Language and Technology Center” of the National Taiwan Normal University (NTNU) from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan, and National Science and Technology Council (NSTC), Taiwan, under Grants no. 111-2221-E-003-025, 110-2221-E-003-019, 110-2221-E-003-020-MY2, and 110-2634-F-A49-004. The authors would like to thank Hutoushan Innovation hub for providing the facility for system verification. Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 10th International Conference on Robot Intelligence Technology and Applications, RiTA 2022 ; Conference date: 07-12-2022 Through 09-12-2022",
year = "2023",
doi = "10.1007/978-3-031-26889-2_22",
language = "English",
isbn = "9783031268885",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "245--251",
editor = "Jun Jo and Han-Lim Choi and Marde Helbig and Hyondong Oh and Jemin Hwangbo and Chang-Hun Lee and Bela Stantic",
booktitle = "Robot Intelligence Technology and Applications 7 - Results from the 10th International Conference on Robot Intelligence Technology and Applications",
}