Positioning and path prediction for scenario assessment of safe speed system
作者： M Tsogas , N Floudas , H Weigel , A Amditis
DOI:
关键词: Control engineering 、 Information quality 、 Kinematics 、 Warning system 、 Intelligent transportation system 、 State (computer science) 、 Path (graph theory) 、 Host (network) 、 Interface (computing) 、 Engineering
摘要: This study describes the algorithms that were developed in scenario assessment modules of IP PReVENT subproject SASPENCE. These aim at achieving a reliable representation host and other vehicles states their kinematics, by processing input data from sensors sources providing higher quality information to warning intervention strategies human machine interface overall system. The work presented this paper focuses mainly on vehicle positioning state estimation system together with path prediction for vehicles. For covering abstract see ITRD E140665.
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