LI AUTO(US:LI) 自动驾驶之心·2025-08-09 16:03Core Viewpoint - The article emphasizes the ongoing evolution and critical phase of the autonomous driving industry, highlighting the transition from modular approaches to end-to-end/VLA methods, and the community's commitment to fostering knowledge and collaboration in this field [2][4]. Group 1: Industry Development - Since Google's initiation of autonomous driving technology research in 2009, the industry has progressed significantly, now entering a crucial phase of development [2]. - The community aims to integrate intelligent driving into daily transportation, reflecting a growing expectation for advancements in autonomous driving capabilities [2]. Group 2: Community Initiatives - The community has established a knowledge-sharing platform, offering resources across various domains such as industry insights, academic research, and job opportunities [2][4]. - Plans to enhance community engagement include monthly online discussions and roundtable interviews with industry and academic leaders [2]. Group 3: Educational Resources - The community has compiled over 40 technical routes to assist individuals at different levels, from beginners to those seeking advanced knowledge in autonomous driving [4][16]. - A comprehensive entry-level technical stack and roadmap have been developed for newcomers to the field [9]. Group 4: Job Opportunities and Networking - The community has established internal referral mechanisms with multiple autonomous driving companies, facilitating job placements for members [7][14]. - Continuous job sharing and networking opportunities are provided to create a complete ecosystem for autonomous driving professionals [14][80]. Group 5: Research and Technical Focus - The community has gathered extensive resources on various research areas, including 3D target detection, BEV perception, and multi-sensor fusion, to support practical applications in autonomous driving [16][30][32]. - Detailed summaries of cutting-edge topics such as end-to-end driving, world models, and visual language models (VLM) have been compiled to keep members informed about the latest advancements [34][40][42].