Multi-camera in-loop simulation test method and system for intelligent driving

Abstract

The invention discloses a multi-camera in-loop simulation test method and system for intelligent driving. Carsim software is arranged in a computer for simulating an experiment car and a traffic environment, and a camera is used for collecting video image data; the video image data collected by different cameras are respectively subjected to data correction; the image data corrected by different cameras are respectively perceived; the image data perceived by different cameras are fused; a driving behavior decision module analyzes a fused perception result to finish the driving decision work; adecision signal is transformed into a control signal of the experiment car; and the experiment car is conducted to drive in a traffic simulation environment according to the received control signal.According to the multi-camera in-loop simulation test method and system for intelligent driving in the invention, when a plurality of cameras are used for data collection, the data processing resultsof the plurality of cameras are fused through algorithm model optimization, a unified and effective target detection result is produced, and the intelligent driving technique is perfectly performed.

Description

Technical field [0001] The invention relates to the technical field related to data collection, and in particular to a method and system for intelligent driving-oriented multi-camera-in-the-loop simulation testing. Background technique [0002] With the rapid development of computer and microelectronic technology, the development of intelligent technology is getting faster and faster, the degree of intelligence is getting higher and higher, and the scope of application has also been greatly expanded. The intelligent driving system is based on the rapid development of automotive electronics technology, covering multiple disciplines such as electronics, computers, machinery, and sensor technology. Automated intelligent driving cars are the development direction of future automobiles, and they are also the means of transportation with revolutionary influence on road traffic. With the breakthrough and improvement of core technologies such as artificial intelligence and sensor detect...

AI Technical Summary

Problems solved by technology

In practical applications, the core problem faced by intelligent driving technology is road condition recognition and perception. When facing multiple cameras for data collection, it cannot efficiently and optimally process the data collected by multiple cameras, generate a unified target detection result, and output driving commands.

Images