Core Viewpoint - The use of NOA (Navigation on Autopilot) has been increasingly restricted on highways due to concerns over safety and 5G signal limitations, leading to a significant reduction in its availability for drivers [2][5][6]. Group 1: NOA Usage and Restrictions - Many drivers have reported a decrease in the availability of NOA on highways, with one driver noting that out of a 438-kilometer journey, only 68 kilometers allowed for NOA usage [2][4]. - The limitations on NOA usage are attributed to 5G signal issues rather than direct restrictions from car manufacturers or highway management [5][6]. - There is a growing concern among drivers regarding the safety of using NOA, especially after several accidents involving improper use of the system [6][7]. Group 2: Driver Behavior and Safety Concerns - Reports indicate that many drivers misuse NOA by becoming overly reliant on the system, leading to dangerous situations such as not paying attention while driving [6][7]. - A significant increase in accidents related to smart driving systems has been noted, with a 217% year-on-year rise in incidents involving driver over-reliance on these systems [7]. - Experts emphasize the importance of driver responsibility and the need for a balance between convenience and safety in the use of autonomous driving features [8][9]. Group 3: Industry Perspectives and Future Directions - Industry experts suggest that the current state of NOA and similar systems requires significant improvement, with calls for better integration of safety measures and technology advancements [8][9]. - The development of autonomous driving technology is seen as a complex challenge, requiring a combination of data-driven approaches and regulatory frameworks to ensure safety [8][9]. - There is a consensus that future advancements in smart driving must prioritize safety and the understanding of human behavior in conjunction with technological capabilities [9].

Core Insights - The industry is undergoing a significant technological transition from rule-based and hybrid systems to fully data-driven "dense modal systems" [2][4] - Tesla is recognized as a leader in this transition, having successfully completed the shift to a data-driven model [4] - The future of autonomous driving is seen as inevitably data-driven, with key factors for this transition being enhanced computing power, algorithm optimization, infrastructure development, and sensor standardization [5] Industry Trends - The current competition in the autonomous driving sector is shifting from marketing gimmicks to actual product performance breakthroughs [5] - Companies must focus on foundational technology development rather than merely creating new concepts for promotional purposes [5] - The market is expected to see a power sweet spot of 100-200 TOPS between 2024 and 2025, with over 500 TOPS becoming mainstream by 2026 [6] Product Development - Horizon Robotics has introduced the HSD series for urban full-scene assisted driving, with computing power levels of 256 TOPS, 560 TOPS, and 1120 TOPS [6] - Despite differences in computing power and pricing, the technical architecture of these products is unified to ensure stable product iteration and development efficiency [6] - Future autonomous driving products should prioritize simplicity, practicality, and efficiency to enhance user experience rather than focusing solely on technical specifications [6]