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OLIMP: A Heterogeneous Multimodal Dataset for Advanced Environment Perception
2020
Electronics
A reliable environment perception is a crucial task for autonomous driving, especially in dense traffic areas. Recent improvements and breakthroughs in scene understanding for intelligent transportation systems are mainly based on deep learning and the fusion of different modalities. In this context, we introduce OLIMP: A heterOgeneous Multimodal Dataset for Advanced EnvIronMent Perception. This is the first public, multimodal and synchronized dataset that includes UWB radar data, acoustic
doi:10.3390/electronics9040560
fatcat:m7xosqzegbgfnabzqzp3n2gagy