1. Intelligent driving and assistant decision system based on multi-sensor fusion
Multi-sensor fusion fuses the perception information of vision, millimeter wave radar and lidar to form a comprehensive and robust perception. At the same time, combined with high-precision map and high-precision positioning, the perceived information is reconstructed and positioned to improve the positioning ability and positioning accuracy, so as to provide help for path planning and decision-making.
2. Security control system based on high performance computing and 5G Internet
All kinds of information collected by the perception, decision-making and control function modules of autonomous vehicles are transmitted to the edge cloud through 5G Internet, and then distributed after intelligent processing and discrimination based on the high-performance computing and processing capacity of the edge cloud, so as to reduce the dependence on on on-board sensors. At the same time, all vehicle monitoring and control can be realized in the background production dispatching center.
3. Vehicle based collision alarm detection and dangerous driving behavior detection system
The vibration level of vehicles on different roads is different. It is used to distinguish between real collision alarm and bumpy road. It collects sound data through microphone and recognizes emergency voice, such as "help", "robbery", etc. Alcohol detection sensors and facial expression recognition sensors are installed in the vehicle to prohibit the occurrence of dangerous driving behaviors such as drinking driving and tiredness while driving.
