Research on Autonomous Capability Evaluation of Unmanned Ground Vehicles

Abstract

In this paper, according to the requirements of the theory of analytic hierarchy process (AHP), in order to demonstrate its autonomy should possess the ability of elements,the ability can be divided into the perception ability, planning ability, motion control ability, behavioral ability and learning ability evaluation of five aspects.Then all sapects are decomposed step by step down for 12 evaluation key elements and 38 evaluation factors. On this basis, the technical maturity is calculated with fuzzy membership degree matrix on the evaluation of the assignment of reference. The improved G1 sequence relations and fuzzy comprehensive evaluation method are used on the system of the unilateral and total autonomy ability to combine qualitative and quantitative evaluation, by setting the different task environment. What is more, trying to prove that in order to determine the level of autonomy, there should be autonomy ability of different vehicle verification, as well as autonomy value interval distribution.

Performance Analysis of Blockchain-Enabled Security and Privacy Algorithms in Connected and Autonomous Vehicles: A Comprehensive Review

“…It is quite acceptable that with the arrival or invention of any new technology, there are potential threats and vulnerabilities attached to it, and the same goes for CAVs. A certain amount of hesitation from the public has also been observed to accept the notion of self-driving cars after few accident reports in Arizona and California in the United States [33][34]. Due to these accident reports and cyberattacks on inter as well as intra-vehicular communications, the security and privacy of passengers havebecome an important area of research [35].…”