IDDA: a large-scale multi-domain dataset for autonomous driving
IEEE Robotics and Automation Letters(2020)
摘要
Semantic segmentation is key in autonomous driving. Using deep visual learning architectures is not trivial in this context, because of the challenges in creating suitable large scale annotated datasets. This issue has been traditionally circumvented through the use of synthetic datasets, that have become a popular resource in this field. They have been released with the need to develop semantic s...
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关键词
Semantics,Meteorology,Autonomous vehicles,Sensors,Engines,Benchmark testing,Training
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