Mingdeng Tan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Mingdeng Tan has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Fukun Xie
College of Computer Science, Chongqing University, Chongqing 400044, China
1 shared publication - Lei Ye
School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China
1 shared publication - Lingqiu Zeng
College of Computer Science, Chongqing University, Chongqing 400044, China
1 shared publication - Miao Zhou
School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China
1 shared publication - Qingwen Han
School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China
1 shared publication
Latest Publications
- Open Access
- 23 October 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (21) , 9688
Cellular Vehicle-to-Everything Automated Large-Scale Testing: A Software Architecture for Combined Scenarios
As the commercialisation of Intelligent Connected Vehicles (ICVs) accelerates, Vehicle-to-Everything (V2X)-based general testing and assessment systems have emerged at the forefront of the research. Current field testing schemes mostly follow the norms of traditional vehicle tests. In contrast, Original Equipment Manufacturers (OEMs) have increasingly focused on the potential influence of V2X communication performance on the application response characteristics. Our previous work resulted in a C-V2X (Cellular-V2X) large-scale testing system (LSTS) for communication performance testing. However, when addressing the need to combine application and communication, the system software faces confronts heightened technical challenges. This paper proposes a layered software architecture for the automated C-V2X LSTS, which is tailored to combined scenarios. This architecture integrates scenario encapsulation technology with a large-scale node array deployment strategy, enabling communication and application testing under diversified scenarios. The experimental results demonstrate the scalability of the system, and a case study of Forward Collision Warning (FCW) validates the effectiveness and reliability of the system.
- 23 October 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (21) , 9688
Open AccessCellular Vehicle-to-Everything Automated Large-Scale Testing: A Software Architecture for Combined Scenarios
As the commercialisation of Intelligent Connected Vehicles (ICVs) accelerates, Vehicle-to-Everything (V2X)-based general testing and assessment systems have emerged at the forefront of the research. Current field testing schemes mostly follow the norms of traditional vehicle tests. In contrast, Original Equipment Manufacturers (OEMs) have increasingly focused on the potential influence of V2X communication performance on the application response characteristics. Our previous work resulted in a C-V2X (Cellular-V2X) large-scale testing system (LSTS) for communication performance testing. However, when addressing the need to combine application and communication, the system software faces confronts heightened technical challenges. This paper proposes a layered software architecture for the automated C-V2X LSTS, which is tailored to combined scenarios. This architecture integrates scenario encapsulation technology with a large-scale node array deployment strategy, enabling communication and application testing under diversified scenarios. The experimental results demonstrate the scalability of the system, and a case study of Forward Collision Warning (FCW) validates the effectiveness and reliability of the system.