Importance-Aware Semantic Segmentation for Autonomous Vehicles.
IEEE Transactions on Intelligent Transportation Systems(2019)
摘要
Semantic segmentation (SS) partitions an image into several coherent semantically meaningful parts and classifies each part into one of the pre-determined classes. In this paper, we argue that the existing SS methods cannot be reliably applied to autonomous driving system as they ignore the different importance levels of distinct classes for safe driving. For example, pedestrian, car, and bicyclis...
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关键词
Image segmentation,Autonomous vehicles,Roads,Neural networks,Feature extraction,Semantics,Reliability
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