Method for judging whether road traffic conditions are suitable for automatic driving of automobiles
A technology for automatic driving and traffic conditions, which is applied in the traffic control system of road vehicles, the arrangement of variable traffic instructions, and traffic flow detection, etc. And other issues
Active Publication Date: 2017-11-03
CENNAVI TECH
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Problems solved by technology
However, all types of vehicle sensors have certain limitations on the effective working distance. For example, the effective working distance of radar sensors is only a few meters, and the effective working distance of video cameras is only tens of meters. Sensing and judging the road traffic conditions within a meter range, it is impossible to obtain whether the roads in a wider range are suitable for automatic driving, which affects the judgment of whether the road traffic conditions are suitable for automatic driving
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[0021] Example figure 1 As shown, the present invention judges whether the road traffic condition meets the method for automobile automatic driving comprising the following steps:
[0022] Step 1. The self-driving car collects the traffic condition data around the car through the on-board video camera, radar sensor, laser rangefinder and other equipment, and the on-board main control computer judges whether the current road is suitable for automatic driving according to the collected traffic condition data;
[0023] Step 2. The self-driving car transmits the collected traffic condition data, current location data, and whether the current road is suitable for unmanned driving data to the information processing center in real time through the wireless communication system;
[0024] Step 3: Send the collected data back to the information processing center in real time through the wireless communication system through the collection equipment such as floating vehicles, mobile term...
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The invention discloses a method for judging whether road traffic conditions are suitable for automatic driving of automobiles. The method comprises steps of collecting data returned by an onboard sensor of an automatic driving automobile, traffic condition data of the current whole road network and the data about whether the road is suitable for automatic driving of the automobiles, and using the machine learning method to generate self-learning sample data sets; according to the self-learning sample data sets, using a decision tree to establish a decision model; periodically updating the decision tree according to the change of the acquired data; and based on the decision model and the real-time whole road network traffic condition data, generating and issuing automatic driving identifiers of the whole road network roads. According to the invention, by acquiring the data returned by the automatic driving automobiles, combining the traffic condition data of the whole road network roads, and generating and issuing automatic driving identifiers about whether each road of the whole road network is suitable for automatic driving of the automobiles in real time, it is convenient for people to judge whether the road traffic conditions are suitable for automatic driving of the automobiles.
Description
technical field [0001] The invention relates to a method for judging whether road traffic conditions meet automatic driving of automobiles. Background technique [0002] Autonomous driving, also known as unmanned driving, is a technology that realizes unmanned driving through intelligent systems. Self-driving cars rely on the cooperation of artificial intelligence, visual computing, radar, monitoring devices, and global positioning systems, allowing intelligent systems to automatically and safely control motor vehicles without any active human control. [0003] Self-driving cars use on-board sensors such as video cameras, radars, and laser ranging sensors to understand the surrounding traffic conditions and navigate the road ahead through a detailed traffic map that can be collected by manned vehicles . However, various types of vehicle sensors have certain limitations on the effective working distance. For example, the effective working distance of radar sensors is only a...
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IPC IPC(8): G08G1/01G08G1/09
CPCG08G1/0108G08G1/0125G08G1/0137G08G1/09
Inventor 陈金星吴红缨罗颖磊
Owner CENNAVI TECH