Core Viewpoint - The article discusses the evolving landscape of intelligent driving technology, highlighting its significance and potential impact on transportation and daily life, particularly with the upcoming advancements expected by 2025 [1][6]. Summary by Sections Intelligent Driving Overview - Intelligent driving is defined as a technology that enables vehicles to operate autonomously and make intelligent decisions using advanced sensors, communication technologies, and computer systems [1]. - The international classification of intelligent driving ranges from L0 to L5, with L3 being a critical threshold for automation [1]. Current Developments - The Navigate on Autopilot (NOA) feature, representing L2+ level assistance, is rapidly advancing and can perform complex driving maneuvers in specific scenarios [1][2]. - By the end of 2024, major automotive companies are expected to implement nationwide urban NOA, establishing "car-to-car" as the new standard for intelligent driving experiences [4]. Technical Frameworks - Intelligent driving can be categorized into two design philosophies: modular synthesis and end-to-end systems. The modular approach divides the system into perception, planning, and execution modules, while the end-to-end method uses deep neural networks to directly map sensory input to driving actions [3]. - The end-to-end architecture is gaining traction due to its ability to handle complex driving scenarios with greater generalization capabilities, although it requires substantial data and computational power [3]. Future Projections - The "2024 Intelligent Driving Annual Report" indicates significant progress in intelligent driving technology, moving away from reliance on high-precision maps to a more autonomous decision-making process [4][5]. - The report emphasizes that the first principles of AI—algorithm, computing power, and data—are crucial for the advancement of intelligent driving, with a shift towards end-to-end systems being a new paradigm [5]. Industry Trends - 2025 is anticipated to be a pivotal year for intelligent driving, with expectations for the transition from "usable" to "user-friendly" systems, particularly in urban NOA applications [7]. - Companies are actively preparing for the commercialization of L3 autonomous driving, with many expressing intentions to launch L3 capabilities by 2025 [7][8]. Commercialization Efforts - Recent initiatives, such as the launch of autonomous driving services by companies like Pony.ai in Guangzhou, demonstrate the industry's commitment to advancing and commercializing intelligent driving technology [6]. - The competitive landscape is expected to intensify as companies ramp up R&D investments and technological innovations to capture market opportunities in intelligent driving [7][8].