Core Viewpoint - The automotive industry is facing a dilemma in sensor selection for autonomous driving, particularly between lidar and 4D millimeter-wave imaging radar, with the latter emerging as a cost-effective alternative [1][2]. Group 1: Cost and Performance Comparison - The cost of 4D millimeter-wave imaging radar is significantly lower, with some models priced at only one-tenth of lidar, while maintaining comparable point cloud quality to 64-line lidar [2]. - Automotive manufacturers are increasingly adopting 4D millimeter-wave imaging radar in various models, including brands like NIO and Xiaomi [2]. Group 2: Technical Advantages - 4D millimeter-wave imaging radar offers better light adaptability and all-weather reliability, making it suitable for diverse urban driving conditions [1][4]. - The technology can penetrate small obstacles and is less affected by adverse weather conditions such as rain, snow, and fog [1]. Group 3: Industry Trends and Future Outlook - The market for 4D imaging radar is diversifying, with a performance-focused segment primarily in Europe and a more entry-level segment driven by demand in China [2]. - The industry is leaning towards a hybrid solution that combines multiple sensor types, including cameras and high-end 4D imaging radar, to enhance safety and performance in autonomous driving [6][9].