Improved Road Geometry Estimation by Fusing Multiple Sources of Information: The InteractIVe Approach

作者: Manolis Tsogas , Angelos Amditis , Panagiotis Lytrivis , Ioannis Karaseitanidis , Nikos Floudas

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摘要: In the future, intelligent vehicles will rely on using a large number of sensors for perceiving effectively road environment. So, efforts are focused developing reliable algorithms fusing data received from different sources information, such as and databases, installed vehicle. This paper focuses development an algorithm information generated by optical vehicle (cameras) retrieved map-database in order to extract geometry where is moving. By multiple reliability system increased significantly, since if specific sensor stops providing then continue work rest sensors.

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