Introduces the first large-scale multimodal dataset for two-wheeler rider behavior in dense traffic, with benchmarks showing multimodal fusion improves action recognition and legality classification.
Toward driving scene understanding: A dataset for learning driver behavior and causal reasoning
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MOTOR: A Multimodal Dataset for Two-Wheeler Rider Behavior Understanding
Introduces the first large-scale multimodal dataset for two-wheeler rider behavior in dense traffic, with benchmarks showing multimodal fusion improves action recognition and legality classification.