聊聊导航信息SD如何在自动驾驶中落地？

Core Viewpoint - The article discusses the application of navigation information in autonomous driving, emphasizing its importance in providing lane guidance, waypoint information, and reference lines to enhance vehicle path planning and control [2][4][31]. Group 1: Navigation Information Application - Navigation information SD/SD Pro is already utilized in many production solutions, offering a rough global and local view for drivers [2]. - The core responsibilities of the navigation module include providing reference lines, which significantly reduce planning pressure by offering a predefined driving path [4]. - Additional functionalities include providing planning constraints and priorities, as well as path monitoring and replanning [5]. Group 2: Path Planning and Behavior Guidance - Global path planning at the lane level involves searching for the optimal lane sequence to reach the target lane [6]. - Behavior planning is enhanced by providing clear semantic guidance, allowing vehicles to prepare for lane changes, deceleration, and yielding in advance [6]. Group 3: Course Overview - The course titled "End-to-End Practical Class for Mass Production" focuses on practical applications in autonomous driving, covering topics from one-stage and two-stage frameworks to trajectory optimization and production experience sharing [23]. - The curriculum includes chapters on end-to-end task overview, two-stage and one-stage algorithms, navigation information applications, reinforcement learning in autonomous driving, trajectory output optimization, fallback solutions, and mass production experience [28][30][31][32][33][34][35]. Group 4: Target Audience and Course Details - The course is aimed at advanced learners with a background in autonomous driving algorithms, reinforcement learning, and programming [36][38]. - The course will commence on November 30, with a duration of three months, featuring offline video teaching and online Q&A sessions [36][39].