智能驾驶2024年度报告

Investment Rating - The report does not explicitly state an investment rating for the industry. Core Insights - The automotive industry in China has entered the "smart driving" era, with a focus on advanced driver-assistance systems (ADAS) as a key competitive factor [3][4][5]. - The report emphasizes the importance of understanding the latest technological trends and key factors in smart driving, as well as the ranking of players in the market [6][7]. - The transition to "end-to-end" technology architecture in smart driving is highlighted, moving away from reliance on high-precision maps [16][22]. - The report predicts that 2025 may mark the commercial year for Level 3 (L3) autonomous driving, driven by advancements in policy, software, hardware, and insurance mechanisms [22][23]. Summary by Sections 1. Current Status of Smart Driving Products - Smart driving has progressed to two "end-to-end" systems, eliminating dependence on high-precision maps and enabling "no map" navigation [16]. - Urban Navigation Assistance (NOA) is rapidly expanding, with multiple brands unlocking this capability in more cities [18]. - The price of mass-produced vehicles equipped with advanced smart driving features has decreased to around 150,000 RMB, promoting technological equality [20]. - The report anticipates that 2025 will be a pivotal year for L3 commercial applications [22]. 2. Landscape of Smart Driving in China - Players in the market are categorized into four generations based on their highest achieved capabilities: leading, next-generation, current, and lagging [27]. - The report identifies two main factions based on sensor configurations: "vision-based" without LiDAR and "LiDAR-based" [31][34]. - Companies are also classified based on whether they develop their own technology or rely on suppliers [37]. - The current landscape shows a clear hierarchy among brands based on their smart driving capabilities and market presence [40][44]. 3. Key Factors in the Iteration of Smart Driving Industry - The three critical elements driving the evolution of smart driving are algorithms, computing power, and data [51]. - The trend towards end-to-end architecture is becoming mainstream, integrating perception, decision-making, and planning into a unified model [52]. - Cloud computing power is increasingly important, with various players showcasing significant capabilities [55]. - Data accumulation from more vehicles and smart driving solutions is essential for accelerating technological advancements [57]. 4. Influencing Factors for Smart Driving Iteration - The cost of LiDAR technology is decreasing, making it more accessible for mass-market vehicles [61]. - L4-level autonomous driving technologies are being adapted for passenger vehicles, shortening development cycles [62]. - Standardization and scalability of mass-produced vehicles are crucial for enhancing smart driving capabilities [64]. 5. Predictions for Smart Driving in 2025 - The report outlines acceleration factors for smart driving in 2025, emphasizing the importance of algorithms, computing power, and data [68]. - It predicts potential shifts in the market landscape, with players who have invested in these areas likely to emerge as leaders [71]. 6. Notable Companies to Watch in 2025 - The report highlights several companies, including BYD and Changan, that are making significant advancements in smart driving technology [76][82].