Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Diange Yang"'
Publikováno v:
Communications in Transportation Research, Vol 4, Iss , Pp 100140- (2024)
Externí odkaz:
https://doaj.org/article/a0150853f0634e76926e9ac7c9884aa6
Publikováno v:
Sensors, Vol 23, Iss 24, p 9876 (2023)
Environmental perception plays a fundamental role in decision-making and is crucial for ensuring the safety of autonomous driving. A pressing challenge is the online evaluation of perception uncertainty, a crucial step towards ensuring the safety and
Externí odkaz:
https://doaj.org/article/8f041728d15343869449620f3b12d986
Autor:
Benny Wijaya, Mengmeng Yang, Tuopu Wen, Kun Jiang, Yunlong Wang, Zheng Fu, Xuewei Tang, Dennis Octovan Sigomo, Jinyu Miao, Diange Yang
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 1, p 6 (2023)
This research paper employed a multi-session framework to present an innovative approach to map monitoring within the domain of high-definition (HD) maps. The proposed methodology uses a machine learning algorithm to derive a confidence level for the
Externí odkaz:
https://doaj.org/article/a7dd8107341d4bed977ddca03073b0ee
Adding ears to intelligent connected vehicles by combining microphone arrays and high definition map
Publikováno v:
IET Intelligent Transport Systems, Vol 15, Iss 10, Pp 1228-1240 (2021)
Abstract Ears are responsible for the sense of hearing, which is indispensable for a human to understand the environment. It is similar to an intelligent vehicle where acoustical data contains useful and valuable information to comprehend the environ
Externí odkaz:
https://doaj.org/article/30ad6e2088a34595a4133e282c8f585b
Autor:
Mingliang Yang, Kun Jiang, Junze Wen, Liang Peng, Yanding Yang, Hong Wang, Mengmeng Yang, Xinyu Jiao, Diange Yang
Publikováno v:
Sensors, Vol 23, Iss 5, p 2867 (2023)
Deep neural network algorithms have achieved impressive performance in object detection. Real-time evaluation of perception uncertainty from deep neural network algorithms is indispensable for safe driving in autonomous vehicles. More research is req
Externí odkaz:
https://doaj.org/article/06ceccbdfa84420690a8f0acfd78f8a7
Publikováno v:
Engineering, Vol 6, Iss 6, Pp 688-694 (2020)
The time-varying network topology can significantly affect the stability of multi-agent systems. This paper examines the stability of leader–follower multi-agent systems with general linear dynamics and switching network topologies, which have appl
Externí odkaz:
https://doaj.org/article/1b59777e8aaf4a52bc8209043ffcfb62
Publikováno v:
Engineering, Vol 5, Iss 2, Pp 305-318 (2019)
An increasing number of drivers are relying on digital map navigation systems in vehicles or mobile phones to select optimal driving routes in order to save time and improve safety. In the near future, digital map navigation systems are expected to p
Externí odkaz:
https://doaj.org/article/c358749d2c3c452e971d9e4351041242
Publikováno v:
IEEE Access, Vol 7, Pp 46114-46121 (2019)
High accuracy vehicle localization information is critical for intelligent transportation systems and future autonomous vehicles. It is challenging to achieve the required centimeter-level localization accuracy, especially in urban or global navigati
Externí odkaz:
https://doaj.org/article/7a7c34b6732743d4be5a0e1339a8f9b6
Publikováno v:
Sensors, Vol 20, Iss 24, p 7283 (2020)
With the rapid development of automated vehicles (AVs), more and more demands are proposed towards environmental perception. Among the commonly used sensors, MMW radar plays an important role due to its low cost, adaptability In different weather, an
Externí odkaz:
https://doaj.org/article/4ca168e1e2ec46ba86bbcc3a3bff7316
Publikováno v:
Sensors, Vol 20, Iss 7, p 1870 (2020)
Real-time vehicle localization (i.e., position and orientation estimation in the world coordinate system) with high accuracy is the fundamental function of an intelligent vehicle (IV) system. In the process of commercialization of IVs, many car manuf
Externí odkaz:
https://doaj.org/article/d8c432abe79b4bf28aeeb5d8dab03189