Open Dependable Power Computing Platform for Automated Driving

The future of mobile and internet technologies are manifesting advancements beyond the existing scope of science. The concepts of automated driving, augmented-reality, and machine-type-communication are quite sophisticated and require an elevation of the current mobile infrastructure for launching. The fifth-generation (5G) mobile technology serves as the solution, though it lacks a proximate networking infrastructure to satisfy the service guarantees. Multi-access Edge Computing (MEC) envisages such an edge computing platform. In this survey, we are revealing security vulnerabilities of key 5G-based use cases deployed in the MEC context. Probable security flows of each case are specified, while countermeasures are proposed for mitigating them.

Download Full-text

Research on CarMaker and Cloud Computing Platform Co-Simulation Based on APO

Journal of Physics Conference Series ◽

10.1088/1742-6596/2065/1/012020 ◽

2021 ◽

Vol 2065 (1) ◽

pp. 012020

Author(s):

Nver Ren ◽

Rong Jiang ◽

Dongze Zhang

Keyword(s):

Cloud Computing ◽

Real Time ◽

Data Communication ◽

Autonomous Driving ◽

Data Sampling ◽

Cloud Platform ◽

Time Data ◽

Automated Driving ◽

Computing Platform ◽

Cloud Computing Platform

Abstract An cloud computing platform based on B/S architecture and docker container technology for autonomous driving simulation has been established in this paper. The map editor module of the cloud platform lets users design 3D scenes for simulating and testing automated driving systems. When the customized roadway scene for simulation created, it would be saved as OpenDrive format both for the server of cloud platform and CarMaker’s TestRun which all parameters of the virtual environment (vehicle, road, tires, etc.) are sufficiently defined. Then, based on the application online (APO) communication protocol of CarMaker, the local APO agent service was created. When the 27 parameters of vehicle dynamics received from CarMaker server, they were sent to the cloud platform in real time through UPD protocol. The process of data communication is completed by APO agent. Through the work above, a co-simulation between cloud platform and CarMaker could be successfully established for autonomous driving with seventeen-degree-of-freedom. Through the co-simulation experiment, it is found that the real-time data sampling frequency of the co-simulation is 70Hz, which completes the synchronous simulation of carmaker and cloud platform.

Download Full-text