Core Viewpoint - The 2025 World Intelligent Connected Vehicle Conference highlighted the transition of Siwei Map from a traditional mapping company to an autonomous driving solution provider, addressing the ongoing debate between "heavy map" and "light map" technologies and the challenges posed by the rapid deployment of urban Navigation Assisted Driving (NOA) [1][5]. Group 1: Technology and Business Model - The choice between "heavy" and "light" maps depends on the application scenario and the level of autonomous driving, with higher levels requiring more precise maps [5]. - Siwei Map is exploring various business models for high-precision maps, including one-time sales and annual service fees, with a potential shift towards a SaaS-like model based on usage or subscription [6]. - The traditional SD map licensing model has evolved from one-time fees per vehicle to monthly payments, with different pricing strategies observed in various countries [6]. Group 2: Challenges and Solutions - The rapid rollout of urban NOA demands high coverage, update frequency, and cost control for high-precision maps, which is a long-standing industry challenge [7]. - Siwei Map's solution involves collaborating with car manufacturers to use production vehicles as data collection units, allowing for real-time updates of maps based on road changes [7]. - The company currently faces limitations in data coverage due to the insufficient number of equipped vehicles, but expects improvements as higher-level autonomous vehicles become more common [7]. Group 3: Future of Autonomous Driving - The future of high-precision maps may involve them becoming a replaceable sensor, as vehicles increasingly rely on real-time sensor data and advanced algorithms rather than pre-defined map geometries [8]. - The transition to L3 and above levels of autonomous driving is seen as a necessary evolutionary step, with safety and user confidence being the primary barriers to widespread adoption [10]. - In the next 3-5 years, the industry may see the emergence of vehicles without traditional driving controls, particularly in specific applications like ride-hailing and logistics [11]. Group 4: Economic and Safety Considerations - The economic viability and safety of flying cars are viewed as critical factors for their large-scale adoption, similar to the challenges faced by autonomous vehicles [12][13]. - Current technological limitations, such as battery weight and safety standards, hinder the feasibility of flying cars, which may initially find applications in high-end markets before broader adoption [13].