On track-to-track data association for automotive sensor fusion
作者： Tilo Schwarz , Christian Wohler , Bharanidhar Duraisamy
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摘要: When fusing data from more than one information source, it is important to associate the correct pair of available sources achieve an optimal fused result. The responsibility task proper association lies on method used in system. design has be done considering requirements application, quality and quantity provided by sensors. Parameters such as: whether fusion carried out a centralized or decentralized architecture, sensors raw unprocessed already processed built-in signal processing system sensor, plays role finalization problem. problem sensor setting, also known as track-to-track association, discussed detail this paper. paper are environment perception based different measurement principles for automotive safety autonomous driving functions. deliver kinematic well non-kinematic tracked targets. To make use target information, attribute methods in-addition traditional results real world presented A video recorded under test conditions that include will made community.
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