What are the Key Technologies of Intelligent Connected Vehicles?

[McIvan]

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.