IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic

The development of reliable and efficient intelligent vehicle systems is dependent on its capability to understand the influence of road and traffic conditions on its own driving actions. This is particularly challenging in developing countries such as India where traffic situations are often dense and unstructured with heterogeneous road occupants. Existing benchmarks, predominantly geared towards structured and sparse traffic scenarios, fall short of capturing the complexity of driving in such environments.

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