In the field of road estimation, incorporating multiple sensors is indispensable in order to reach a robust performance. However, the previous chapters have shown that the reliability of the sources changes due to environmental conditions. To cope with this problem, we have introduced a reliability estimation concept using classification models, which are offline trained by using the extracted information from sensors’ detections and the past performance of the sources.
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