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What is Multimodal Dataset for Autonomous Driving about?

The aiMotive dataset is a multimodal collection designed for robust autonomous driving, featuring synchronized LiDAR, camera, and radar sensors across 176 scenes in various environments and weather conditions. It addresses limitations in existing datasets by providing long-range annotations and sensor redundancy, crucial for training effective perception systems. The dataset is publicly available for non-commercial research, facilitating advancements in multimodal sensor fusion and long-range perception tec

Author

ghita layoune

Language

EN