Collaborative ACC/AEB decision management system based on Internet of Vehicles and vehicle

Abstract

The invention aims to provide a collaborative ACC / AEB decision management system based on Internet of Vehicles and a vehicle. Internet-of-vehicles data and complete vehicle sensor data are fused, a vehicle longitudinal control function can be realized by means of joint control of the Internet-of-vehicles data and the complete vehicle sensor data on the vehicle under the condition that the Internetof Vehicles is available; when there is no Internet-of-vehicles data, the longitudinal control of the vehicle can be realized by adopting a complete vehicle sensor module; and meanwhile, by adoptingthe Internet-of-vehicles data, a front target can be detected in advance, collision with a target behind a shelter is avoided, the safety of the vehicle is improved, the economy of energy utilizationof the complete vehicle is improved, and the robustness and stability of the system are improved through mutual verification work of the two sets of sensor systems.

Description

Technical field [0001] The invention relates to the technical field of advanced assisted driving and intelligent driving, in particular to a collaborative ACC / AEB decision management system based on the Internet of Vehicles and the vehicle. Background technique [0002] In recent years, advanced driving assistance systems (ADAS) have been recognized by more and more host manufacturers and customers, and have been used as the main item of the five-star evaluation standard for passenger cars. At the same time, the automatic emergency braking system will also be used as the vehicle's It is necessary to configure parts and install it on the vehicle. Advanced driver assistance systems (ADAS) or intelligent driving have increasingly improved the safety and comfort of vehicles, and have greatly reduced the accident rate of road vehicles and ensured the safety of personnel and property. [0003] However, the current ACC / AEB system is based on the recognition and detection of surrounding o...

AI Technical Summary

Problems solved by technology

Although the vehicle-mounted sensor can realize target recognition, classification, trajectory establishment and ACC / AEB functions for surrounding objects, the sensor's viewing angle and the limitations of the sensor's own attributes make it difficult to cover other dangerous conditions on the road, such as at intersections It is difficult to recognize the danger to the vehicle caused by the side vehicle when turning, and it is difficult to accurately detect the target at the fork blocked by obstacles, and it is difficult to accurately detect the identification of such targets as ghost probes and prevent the occurrence of dangerous conditions.

Images