Intelligent network connecting test system based on cross-layer collaborative framework for vehicles

Abstract

The invention provides an intelligent network connecting test system based on a cross-layer collaborative framework for vehicles. An integrated verification and evaluation system which is comprehensive, multimodal, full synchronizing and large scale for the vehicle intelligent network connecting tests is formed by the cross-layer collaborative framework of a sensing layer, a communication layer, an interaction layer, a computation layer and a decision-making layer. The system of the invention overcomes the defects that safety guarantee and large-scale verification are difficult to realize or form in the prior art of testing.

Description

technical field [0001] The invention relates to a vehicle intelligent network connection test system, in particular to a vehicle intelligent network connection test system based on a cross-layer collaborative architecture. Background technique [0002] The performance testing and certification evaluation of intelligent networked vehicles is still blank. The existing vehicle testing systems are either pure computer simulation systems or special test sites. Pure computer simulation is difficult to evaluate and verify the real environment, and the special test site is expensive, there are safety hazards in the test process, and the safety, repeatability, and large-scale requirements of the test process cannot be guaranteed, and the test cost is extremely high. It is difficult to conduct comprehensive verification and application evaluation of rapidly developing advanced intelligent network technologies, algorithms and protocols. [0003] With the increasing maturity and popula...

AI Technical Summary

Problems solved by technology

[0005] At present, the testing and verification of automotive intelligent networking is still in its infancy, and a dedicated closed test site (such as the MCity test site for smart cars built by the University of Michigan at a cost of tens of millions of dollars [1]) is usually used for actual vehicle testing. Field testing is very effective for the intelligent verification of a small number of vehicles, but it is powerless for large-scale vehicle networking performance testing; or use computer simulation (such as vehicle network simulation software Veins[2]) for virtual testing, simulation testing is very important for The networked performance test of large-scale nodes is very effective, but there is a big difference between the simulation environment and the actual environment, and it is difficult to deal with the intelligent test of the real vehicle performance

The current test technology cannot meet the development needs of intelligent networked vehicles, and is restricted by many factors such as site, scale, cost, and safety, which limits the performance test verification and industrial application evaluation of intelligent networked technology

Images