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.

With the wide application of the autonomous ground vehicles (AGVs) in the military and civilian areas, the autonomy requirements such as autonomous self-awareness, self-planning and self-control are increasingly considered. The autonomy evaluation has been one of the key issues in the research of the AGVs. Firstly, the autonomous definition and significance of the AGVs were discussed. The milestone events in the development of the autonomy evaluation methods were reviewed. Then the autonomy evaluation methods for the AGVs were summarized from both the early methods based on ontology & phenomenology and the modern ones based on cognitive & computational methods, respectively. Finally, an outlook of the autonomy evaluation development for the AGVs was analyzed.

Firstly, the simulation modal of the dash panel is computed and then compared with the experimental one in this paper to verify its reliability. Then, hybrid FE-SEA model of the dash panel is built to compute its transmission loss. There is an obvious valley value in the computational result. In order to solve this problem, it is necessary to conduct sound transfer path analysis, and the key region is obtained. Topology optimization is conducted on this region, and transmission loss of the optimized structure is then computed and compared with that of the original structure. Transmission loss in the mid-low frequency is improved obviously. Sound package is also applied in the key region of the dash panel, and transmission loss is also computed and compared with that of the original and optimized structure. The results show that topology optimization is better for improving noise at the mid-low frequency. Finally, the optimized results are verified by the experiment.

Unmanned systems of autonomy is a kind of perception, observation, analysis, communication, planning, decision-making and action ability, and complete human tasks assigned by the human-computer interaction it. Ground unmanned systems or in academic research field known as mobile robot autonomous land vehicle, known as the unmanned ground vehicles in the army. Based on variable independently, fault diagnosis, situation assessment, decision support, on the basis of analysis and research, building contains a variety of human-computer interaction in the form of unmanned ground vehicles, the intelligent decision support system by determining hierarchy of human-computer interaction, so as to achieve optimal human-robot collaborative, lay a certain foundation for the research of unmanned ground vehicle autonomy.