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Found 3 papers, 2 papers with code
Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios
Recognizing driving behaviors is important for downstream tasks such as reasoning, planning, and navigation.
IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic
Intelligent vehicle systems require a deep understanding of the interplay between road conditions, surrounding entities, and the ego vehicle's driving behavior for safe and efficient navigation.
A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads
Along with providing baseline results for existing object detectors on FGVD Dataset, we also present the results of a combination of an existing detector and the recent Hierarchical Residual Network (HRN) classifier for the FGVD task.
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