Method for automatically generating vehicle safe driving guarantee scheme based on multi-data fusion

Abstract

The invention provides a method for automatically generating a vehicle safe driving guarantee scheme based on multi-data fusion. The method comprises the following steps: a roadside sensor collects dynamic information, feature information, road condition information and traffic state information of a driving vehicle within the detection range of the roadside sensor; the vehicle provided with a sensing and positioning vehicle-mounted unit dynamically collects dynamic information, surrounding road conditions and environment information of the vehicle in the driving process; the road side sensorand a vehicle-mounted unit perception sensor simultaneously acquire whether an abnormal event occurs on a road and an abnormal behavior target in real time in a static scanning and dynamic scanning data acquisition mode; and the system starts an anti-collision safety principle to judge whether collision occurs between targets in the future or not, and if any one of the situations occurs, the system issues corresponding early warning information, control information and prompt information to different types of vehicles about to pass through the abnormal area through different client special communication channels to change the motion states of the vehicles so as to guarantee the safety of the vehicles and pedestrians.

Description

technical field [0001] The invention relates to the technical fields of behavior analysis, data fusion, target tracking and positioning, communication transmission, automatic control, high-precision map drawing, and intelligent transportation, and in particular to a method for multi-data fusion required for safe driving of vehicles. Background technique [0002] In 2019, many car manufacturers began to enter small-scale mass production of self-driving vehicles, and they are making continuous efforts to improve the intelligence, comfort and safety of the whole vehicle. However, there is still a need for further improvement in the safety of single-vehicle autonomous driving. Many testing agencies are verifying the driving assistance functions of some cars, but most of the evaluation results are very disappointing. A research team at the University of Illinois at Urbana-Champaign has developed a fault assessment technology for autonomous driving. In the test of Baidu Apollo 3....

AI Technical Summary

Problems solved by technology

[0007] (2) Many new technologies are still in a concept state and cannot be implemented well. Even a small number of mature technologies can only be used in test areas with relatively clean environment and relatively simple traffic conditions, and can be used for autonomous driving or semi-autonomous driving test vehicles. The use of technical verification cannot be widely popularized

[0008] (3) Existing technology cannot guarantee the safety of self-driving vehicles and ordinary driving vehicles under the mixed traffic mode at this stage, and because of this mixed mode, traffic management and road smoothness become more difficult

[0009] (4) The existing system cannot improve the safety and comfort brought by intelligent transportation for the drivers and passengers of ordinary vehicles on the road

[0010] (5) Although the vehicle-road coordination system with roads as the core is based on the digital upgrade of road infrastructure, the traffic system can perceive the various conditions of roads, vehicles and pedestrians in real time. While developing intelligent vehicles, By developing the collection, filtering, analysis, and processing capabilities of the road network, people, vehicles, and roads can be highly coordinated. However, due to the immature technology of road condition perception equipment, it needs to be further improved, such as lidar perception equipment, video perception equipment, short-term Millimeter-wave radar sensing equipment cannot be used all-weather and in multiple environments, which makes the vehicle-road coordination system more restricted

The most terrible thing is that the current vehicle-road coordination system and the fixed road condition sensing equipment installed on the road, as well as the self-driving vehicles and semi-autonomous vehicles driving on the road, cannot be effectively connected, making the three huge systems become smart transportation. An isolated "island" cannot support the intelligence of a "comprehensive" transportation system

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