What are the Key Technologies of Intelligent Connected Vehicles?
3 Answers
Key technologies include environmental perception, intelligent decision-making, control execution, V2X communication, cloud platform & big data, and information security. Environmental Perception Technology: In the field of environmental perception, deep learning has demonstrated significant advantages. Deep learning requires large amounts of data as training samples, imposing high demands on data collection and storage. It also has drawbacks such as unclear internal mechanisms and uncertain boundary conditions, requiring integration with traditional methods to ensure reliability. Currently, it is also limited by the processing capabilities of onboard chips. Cloud Platform & Big Data Technology: Cloud platform and big data technologies include cloud platform architecture and data interaction standards, cloud operating systems, efficient data storage and retrieval technologies, big data correlation analysis, and deep mining technologies. The cloud serves as the information hub for intelligent connected vehicles. Intelligent connectivity treats vehicles, pedestrians, and traffic facilities as information nodes, requiring different entities to upload collected information to the cloud for processing and distribution via cloud computing. Vehicles communicate with the cloud platform to send their position and motion information, and the cloud controller optimizes vehicle speed and gear based on road and traffic information to improve fuel economy and traffic efficiency.
As an ordinary car owner like me, after driving a smart connected car, I feel the key technologies start with the Vehicle-to-Everything communication system, or V2X for short, which allows the car to 'communicate' with streetlights or other vehicles to avoid collisions. There's also the sensor suite, where radar, cameras, and LiDAR work together to constantly scan the surrounding environment; the AI brain processes this data in real-time to decide when to brake or steer; the 5G network transmits information rapidly, reducing latency; data is used with cloud computing to optimize routes; cybersecurity features like encryption modules protect privacy; high-precision maps combined with GPS provide accurate positioning to aid navigation; all of which make driving easier and safer, reducing manual operation errors.
As a tech enthusiast, the key technologies of intelligent connected vehicles are truly impressive: V2X communication includes vehicle-to-vehicle and vehicle-to-infrastructure interactions, enabling cooperative driving to reduce accidents; sensor fusion integrates data from LiDAR, cameras, and radar to provide 360-degree perception; AI algorithms simulate human decision-making, handling path planning and adaptive control; edge computing processes real-time data to minimize latency; 5G high-speed networks ensure smooth communication; cybersecurity protocols prevent hacker intrusions; high-precision maps dynamically update to assist positioning; energy management technology integrates charging status—all these work together to drive the evolution toward fully autonomous driving.
