Autonomously driving trains are under development for future systems to enhance public passenger traffic.However,the safety level for this application has to be the same as in conven-tional systems.
Therefore,very capable sensor systems are considered which should detect all obstacles in front of the train.There is no single sensor system available which has the capability to fulfill all given requirements.For this reason, a multi sensor system containing radar and video technology is under investigation for this challenging application.
In this contribution,a multi sensor systemfor this task is analysed and presented.It consists of a set of comparatively low cost sensors as used for automotive applications.The usage of different, suitably chosen sensors provides the opportunity to turn the specific advantages of every single sensor to account and to analyse the jointly measured information in a central data fusion unit. An intelligent fusion of the data generates an overall information that is more meaning-ful than the sum of the single sensor data sequences.
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