The Resource Library is designed forAlgorithm Developers<\/strong>andHigher-Education Educators<\/strong>. Advanced learners can explore datasets available for each problem and task and build knowledge of autonomous-driving datasets; educators can access supporting courseware and lab plans for each module to quickly create an autonomous-driving teaching framework that connects theory with practice.<\/p>\n<\/div><\/div><\/div><\/div><\/div> Datasets are the foundation of autonomous-driving research and development, providing real-world driving scenarios and environmental data. In the Resource Library, leading high-quality datasets are organized by problem and task. Curated scenario subsets are also available to support research and prototyping in Perception, Prediction, Decision-Making and Planning, Control, and End-to-End tasks.<\/p>\n<\/div>Datasets<\/h2><\/a><\/div>