Zobrazeno 1 - 10
of 145 478
pro vyhledávání: '"Traffic light"'
The scarcity of comprehensive datasets in the traffic light detection and recognition domain and the poor performance of state-of-the-art models under hostile weather conditions present significant challenges. To address these issues, this paper prop
Externí odkaz:
http://arxiv.org/abs/2411.07901
Autor:
Polley, Nikolai, Pavlitska, Svetlana, Boualili, Yacin, Rohrbeck, Patrick, Stiller, Paul, Bangaru, Ashok Kumar, Zöllner, J. Marius
Effective traffic light detection is a critical component of the perception stack in autonomous vehicles. This work introduces a novel deep-learning detection system while addressing the challenges of previous work. Utilizing a comprehensive dataset
Externí odkaz:
http://arxiv.org/abs/2409.07284
Autor:
Yun, Taeyoung, Lee, Kanghoon, Yun, Sujin, Kim, Ilmyung, Jung, Won-Woo, Kwon, Min-Cheol, Choi, Kyujin, Lee, Yoohyeon, Park, Jinkyoo
Complex urban road networks with high vehicle occupancy frequently face severe traffic congestion. Designing an effective strategy for managing multiple traffic lights plays a crucial role in managing congestion. However, most current traffic light m
Externí odkaz:
http://arxiv.org/abs/2408.07327
Publikováno v:
Journal of Intelligent Transportation Systems 28.5 (2024): 636-650
The major advances in intelligent transportation systems are pushing societal services toward autonomy where road management is to be more agile in order to cope with changes and continue to yield optimal performance. However, the pedestrian experien
Externí odkaz:
http://arxiv.org/abs/2409.11623
Autor:
Le, Viet-Anh, Malikopoulos, Andreas A.
In this paper, we consider the problem of coordinating traffic light systems and connected automated vehicles (CAVs) in mixed-traffic intersections. We aim to develop an optimization-based control framework that leverages both the coordination capabi
Externí odkaz:
http://arxiv.org/abs/2409.10864
Autor:
Nasrin Nasimi, Maryam Mohammad Hosseini, Fatemeh Mohammadi Nasrabadi, Cain CT Clark, Shiva Faghih
Publikováno v:
International Journal of Nutrition Sciences, Vol 9, Iss 4, Pp 299-307 (2024)
Background: Nutrition labeling is a health promotion strategy to improve nutrition information and help consumers make healthier food choices at the point of purchase. This study aimed to assess the association between knowledge of Nutritional Traffi
Externí odkaz:
https://doaj.org/article/49320365f747456da43f915e6e7d4118
Phrases are fundamental linguistic units through which humans convey semantics. This study critically examines the capacity of API-based large language models (LLMs) to comprehend phrase semantics, utilizing three human-annotated datasets. We assess
Externí odkaz:
http://arxiv.org/abs/2410.02308
Autor:
Liu, Xin1 (AUTHOR) 2011401008@st.gxu.edu.cn, Shi, Guojing1 (AUTHOR) 2211392022@st.gxu.edu.cn, Yang, Changbo2 (AUTHOR) dflqycb@163.com, Xu, Enyong2 (AUTHOR) 13557729070@163.com, Meng, Yanmei1 (AUTHOR) gxu_mengyun@163.com
Publikováno v:
Energies (19961073). Dec2024, Vol. 17 Issue 23, p6022. 22p.
Autor:
Wu, Shuangshuang1,2 (AUTHOR) 2209020104@hhu.edu.cn, Tao, Zhigang3 (AUTHOR) tzg@hhu.edu.cn, Zhang, Li1 (AUTHOR) chensong@hhu.edu.cn, Chen, Song1 (AUTHOR)
Publikováno v:
Remote Sensing. Dec2024, Vol. 16 Issue 23, p4391. 17p.