Core Insights - The intelligent driving industry is at a critical inflection point, with the potential for rapid growth or falling into an innovation gap as technology penetration reaches 10% to 20% [4] - The future growth of mid-to-high level intelligent driving is supported by three main factors: its central role in China's smart connected new energy vehicle strategy, the decreasing costs and increasing accessibility of advanced driving features, and strong consumer demand for intelligent features in vehicle purchases [4] Industry Trends - Intelligent driving is a core component of China's "14th Five-Year Plan" and is expected to drive the automotive industry from manufacturing to intelligent manufacturing [4] - The cost of advanced driving features has decreased significantly, with functionalities like urban NOA and highway NOA now available in vehicles priced below 150,000 yuan, accelerating the "smart driving equality" movement [4] - Consumer surveys indicate that intelligent features are among the top factors influencing the purchase of new energy vehicles, with a strong emphasis on intelligent driving and smart cockpit features in high-end models [4] Challenges - Despite advancements, intelligent driving still faces challenges, particularly in urban NOA, which is currently at a "usable" level but not meeting user expectations [5] - Issues include the system's performance in complex scenarios, limited operational design domain (ODD), and high costs, necessitating improvements in both system performance and application range [5] Technological Innovations - Horizon has made significant breakthroughs in four core areas: algorithms, software architecture, computing power, and data/engineering capabilities [6][7][8] - The Vision Mamba algorithm represents a key advancement in visual perception technology, achieving a 2.8 times increase in computation speed and an 87% reduction in GPU memory usage [6] - The new Senna multi-modal architecture integrates sensor and map data for improved vehicle control, resulting in over a 40% reduction in average planning displacement error and a 45% decrease in collision rates [6] Product Development - Horizon has launched the Horizon SuperDrive urban assistance driving system, which utilizes a combination of cameras and radar to enable full-scene intelligent driving without high-precision maps [9] - The system has demonstrated its ability to handle complex driving scenarios and is set for mass production this year [9] Future Outlook - The future of intelligent driving is expected to evolve towards hardware integration and software unification, with a focus on creating user-friendly intelligent driving products [9]