Automatic driving vehicle fusion navigation decision-making method in network connection environment

Abstract

The invention discloses an automatic driving vehicle fusion navigation decision-making method in a network connection environment. The method is characterized in that an automatic driving control system control vehicle is utilized, the automatic driving control system control vehicle comprises a vehicle position positioning module, an external environment recognition module and a remote indication place condition recognition module; the vehicle position positioning module is used for acquiring the position of an automatic driving vehicle on a map; the external environment identification module is used for identifying the external environment of the vehicle; the remote indication location condition identification module identifies a location condition on a target route based on a preset target route of the autonomous vehicle. According to the fusion navigation decision-making method for the automatic driving vehicle in the network connection environment, information exchange can be carried out under the Internet condition, decision-making failure and decision-making deviation are not likely to happen during decision making, closed feedback can be formed during driving decision making, driving accidents are not likely to be caused, and safety of automatic driving is improved.

Description

technical field [0001] The invention belongs to the field of intelligent driving, and in particular relates to a fusion navigation decision-making method for an automatic driving vehicle in a networked environment. Background technique [0002] Self-driving car, also known as unmanned car, computer-driven car, or wheeled mobile robot, is a kind of intelligent car that realizes unmanned driving through a computer system. It has a history of several decades in the 20th century, and it has shown a trend close to practicality in the early 21st century. Self-driving cars rely on artificial intelligence, visual computing, radar, monitoring devices, and global positioning systems to work together to allow computers to automatically and safely operate motor vehicles without any active human intervention. [0003] Can refer to the Chinese patent whose publication number is CN106408983B, which discloses a vehicle automatic driving system, including a communication system, a vehicle d...

AI Technical Summary

Problems solved by technology

[0004] The above-mentioned vehicle automatic driving system has the advantages of high real-time performance, mutual correction and inspection by using different vehicle driving data collected by the vehicle driving data acquisition system, and high reliability; but it still has some shortcomings, such as: not through the Internet Information exchange under certain conditions is prone to decision-making failure and decision-making deviation. In addition, closed feedback cannot be formed when driving decision-making, which may easily lead to driving accidents.

Images