从理想VLA看自动驾驶技术演进路线...

Core Insights - The article discusses the advancements in the Li Auto VLA driver model, highlighting its improved capabilities in understanding semantics, reasoning, and trajectory planning, which are essential for autonomous driving [1][3] - The VLA model has evolved from VLM+E2E, integrating various cutting-edge technologies such as end-to-end learning, trajectory prediction, visual language models, and reinforcement learning [3] Summary by Sections VLA Model Capabilities - The VLA model enhances semantic understanding through multimodal input, excels in reasoning with a thought chain approach, and closely mimics human driving intuition via trajectory planning [1] - It possesses four core abilities: spatial understanding, reasoning, communication and memory, and behavioral capabilities [1] Research and Development Focus - The academic community is increasingly shifting towards large models and VLA, while traditional perception and planning tasks are still being optimized in the industry [3] - There is a growing interest in VLA, with many students seeking guidance on research papers related to this area, indicating a significant opportunity for academic contributions [3] Course Structure and Offerings - A structured course is being offered to help students systematically grasp key theoretical knowledge and develop practical skills in VLA research [5][12] - The course spans 12 weeks of online group research followed by 2 weeks of paper guidance, culminating in a maintenance period for ongoing support [13][33] Enrollment and Requirements - The program is limited to 6-8 participants per session, targeting individuals with a background in deep learning and basic knowledge of autonomous driving algorithms [11][20] - Participants are expected to have a foundational understanding of Python and PyTorch, with access to high-performance computing resources recommended [20] Learning Outcomes - Students will gain insights into classic and cutting-edge research papers, develop coding skills, and receive guidance on writing and submitting academic papers [19][33] - The course aims to produce a draft of a research paper as a tangible outcome of the learning experience [19][33]