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自动驾驶现在关注哪些技术方向?应该如何入门?
自动驾驶之心·2025-08-14 23:33

Core Viewpoint - The article emphasizes the establishment of a comprehensive community for autonomous driving, aiming to bridge communication between enterprises and academic institutions, while providing resources and support for individuals interested in the field [1][12]. Group 1: Community and Resources - The community has organized over 40 technical routes, offering resources for both beginners and advanced researchers in autonomous driving [1][13]. - Members include individuals from renowned universities and leading companies in the autonomous driving sector, fostering a collaborative environment for knowledge sharing [13][21]. - The community provides a complete entry-level technical stack and roadmap for newcomers, as well as valuable industry frameworks and project proposals for those already engaged in research [7][9]. Group 2: Learning and Development - The community offers a variety of learning routes, including perception, simulation, and planning control, to facilitate quick onboarding for newcomers and further development for those already familiar with the field [13][31]. - There are numerous open-source projects and datasets available, covering areas such as 3D object detection, BEV perception, and world models, which are essential for practical applications in autonomous driving [27][29][35]. Group 3: Job Opportunities and Networking - The community actively shares job postings and career opportunities, helping members connect with potential employers in the autonomous driving industry [11][18]. - Members can engage in discussions about career choices and research directions, receiving guidance from experienced professionals in the field [77][80]. Group 4: Technical Discussions and Innovations - The community hosts discussions on cutting-edge topics such as end-to-end driving, multi-modal models, and the integration of various technologies in autonomous systems [20][39][42]. - Regular live sessions with industry leaders are conducted, allowing members to gain insights into the latest advancements and practical applications in autonomous driving [76][80].