军用车辆越野自主导航建模与仿真工具的定量评估

Michael P. Cole, C. Lucas, Kumar B. Kulkarni, Daniel W. Carruth, Christopher R. Hudson, P. Jayakumar, D. Gorsich
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引用次数: 2

摘要

自主系统是陆军和地面车辆系统中心的未来,该中心已经相应地调整了自己,以支持无人地面车辆(UGV)的发展。自动驾驶算法和车辆系统的物理测试既昂贵又耗时,而建模和仿真(M&S)工具可以解决这一问题。大量政府拥有的和商用的现成工具(COTS)广泛可用,所有这些工具都声称可以对在各种环境和场景下运行的自动地面车辆进行虚拟评估。大多数COTS工具主要关注商用汽车行业,其中车辆在结构化环境中驱动。本文对两种M&S工具,即自主导航虚拟环境实验室(ANVEL)和漫游车分析建模与仿真(ROAMS)进行了军事应用评估,其中导航需求包括公路和越野,以及结构化和非结构化环境作为初步基准。
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Quantitative assessment of modelling and simulation tools for autonomous navigation of military vehicles over off-road terrains
Autonomous systems are the future of the Army and Ground Vehicle Systems Center has aligned itself accordingly to support unmanned ground vehicle (UGV) development. Physically testing autonomous algorithms and vehicle systems can be expensive and time consuming, a problem addressed by the use of modelling and simulation (M&S) tools. A multitude of both Government owned and commercial off-the-shelf tools (COTS) are widely available, all claim to virtually evaluate autonomous ground vehicles operating on various environments and scenarios. Most of the COTS tools primarily focus on the commercial automotive industry where vehicles are driven in a structured environment. In this paper two M&S tools, viz., Autonomous Navigation Virtual Environment Laboratory (ANVEL) and rover analysis modelling and simulation (ROAMS) are evaluated for military applications, where the demands for navigation include both on-road and off-road, as well as both structured and unstructured environments as a preliminary benchmark.
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来源期刊
International Journal of Vehicle Performance
International Journal of Vehicle Performance Engineering-Safety, Risk, Reliability and Quality
CiteScore
2.20
自引率
0.00%
发文量
30
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