With technological advancements and the support of Internet, big data, etc., autonomous driving has made significant progress. Future cars are not just transportation tools but new-generation Internet terminals, integrating new energy, new materials, Internet, big data, and AI, turning vehicles into mobile intelligent terminals, energy storage units, and digital spaces. Autonomous vehicles integrate perception, decision-making, control, and feedback into one system, ensuring operational safety without drivers. Autonomous driving fundamentally changes traditional vehicle control, improving traffic safety and efficiency. With further development of big data, IoT, and cloud computing, autonomous vehicle performance will continue to improve, and we believe autonomous vehicles will soon operate widely in China.

Key autonomous driving technologies:
1. Environmental Perception: Essential for autonomous driving, acting as the vehicle's "eyes" and "ears" using cameras, LiDAR, millimeter-wave radar, and ultrasonic sensors to avoid obstacles.
2. Precise Positioning: Foundation of autonomous vehicles, determining the relative position to the environment via inertial navigation, satellite navigation, and SLAM autonomous navigation systems.
3. Decision and Planning: Core of intelligence, determining appropriate actions in specific scenarios using AI algorithms and chips, requiring high computational power.
4. Control Platform: Core component controlling all vehicle systems, processing sensor signals to coordinate components and achieve precise control.

Reduces traffic accidents and casualties; alleviates traffic congestion and management pressure; reduces driver fatigue; lowers entry barriers for drivers.