最近，自动驾驶的需求已经疯掉了......

Core Viewpoint - The article emphasizes the establishment of a comprehensive community focused on autonomous driving technology, aiming to facilitate knowledge sharing, technical discussions, and career opportunities among members from academia and industry [5][13]. Group 1: Community Overview - The "Autonomous Driving Heart Knowledge Planet" community integrates video, text, learning paths, Q&A, and job exchange, currently boasting over 4,000 members, with a goal to reach nearly 10,000 in the next two years [5][8]. - The community has organized discussions around nearly 40 technical directions in autonomous driving, including multimodal large models, closed-loop simulation, and sensor fusion, catering to both beginners and advanced learners [3][8]. Group 2: Learning and Development - The community provides structured learning paths for various aspects of autonomous driving, including end-to-end learning, VLA (Vehicle Language Architecture), and data annotation practices, significantly reducing research time for members [5][11]. - Members can access a wealth of resources, including over 60 datasets related to autonomous driving, and numerous open-source projects to facilitate hands-on learning [29][30]. Group 3: Networking and Career Opportunities - The community has established job referral mechanisms with multiple autonomous driving companies, allowing members to connect with potential employers and receive guidance on job applications [9][59]. - Regular interactions with industry leaders are organized to discuss trends, technical directions, and production challenges in autonomous driving, enhancing members' understanding of the industry landscape [6][62]. Group 4: Technical Focus Areas - Key technical focus areas include end-to-end autonomous driving, multimodal large models, world models, and various sensor fusion techniques, with detailed discussions and resources available for each topic [31][36][38]. - The community also addresses practical applications and challenges in the field, such as the integration of 3DGS and closed-loop simulation, and the relevance of multi-sensor fusion in current job markets [6][21].