资源库 – OnSite Learning Center

Resource Library

The Resource Library is designed forAlgorithm DevelopersandHigher-Education Educators. 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.

Datasets

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.

Teaching Resources

Teaching Resources:The Teaching Resources Library is designed for university educators and students in transportation-related autonomous-driving fields. It provides teaching slides and other materials for example models in Perception, Prediction, Decision-Making and Planning, and Control, supporting daily teaching while helping students understand model principles and strengthen their subject knowledge.