Unmanned vehicle-mounted intelligent camera in-loop test method and device

A smart camera and unmanned driving technology, applied in television, electrical components, image communication, etc., can solve problems such as difficult to guarantee performance indicators, difficult to meet test scenarios and working conditions, large manpower, material resources, financial resources, etc. To achieve the effect of clear method, strong scalability and easy marketization

Active Publication Date: 2020-01-10
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] 1. The test of the camera manufacturer is to test the parameters of the camera. It is difficult to guarantee that it can meet the performance requirements of the driverless car.
[0007] 2. Car manufacturers spend a lot of manpower, material and financial resources on the actual vehicle test of the camera, which takes a long time and is dangerous
[0008] 3. When the camera is used on location, due to the limitations of external light, weather conditions and test sites, the actual vehicle test is difficult to meet various test scenarios and working conditions, and the operation is complicated

Method used

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  • Unmanned vehicle-mounted intelligent camera in-loop test method and device
  • Unmanned vehicle-mounted intelligent camera in-loop test method and device
  • Unmanned vehicle-mounted intelligent camera in-loop test method and device

Examples

Experimental program
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Embodiment 1

[0076] Two smart dual cameras A and B have been tested through the device proposed by the present invention. For the same video source, smart cameras A and B have the same exposure start time and the same exposure interval, so as to ensure that the two can obtain the same video image. The driving speed of a car on urban roads is generally required to be no more than 50km / h, and the converted speed is about 13.9m / s. It is generally required that the driving distance of the car should not exceed 30cm when obtaining the two pictures before and after. Therefore, the obtained The time interval between the two photos before and after should not exceed 0.021s, and the exposure time interval is set to 0.02s, that is, the number of pictures obtained in 1 second is 50, the length of the video source played is 1 minute, and the two cameras obtain 3000 photos. Each of the photos is marked with pedestrians, traffic signs, vehicles and other information, and the corresponding distance infor...

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Abstract

The invention discloses an unmanned vehicle-mounted intelligent camera in-loop test method and device. The device comprises a box body and a box cover; an LED display screen is arranged on the box body; a fan accommodating device and an LED illuminating lamp accommodating device are arranged on each of the two sides; a water storage box is arranged below the rear end; a guide rail, a graduated scale and a water collecting tank are longitudinally arranged on the bottom surface, a sliding block is arranged on the guide rail, a threaded rod is fixedly connected to the central position of the sliding block, and the upper end of the threaded rod is inserted into a camera fixing disc through a height adjusting disc. The test method tests the performance of the intelligent camera under differentweather conditions by simulating the weather environment in a real scene. The test method and device provided by the invention can realize indoor test of the performance of the intelligent camera, andthe test method is simple, the test device is convenient to install, the cost is relatively low, the work is safe and reliable, and the generalizability is relatively high.

Description

technical field [0001] The invention belongs to the technical field of unmanned driving, and in particular relates to a method and device for in-loop testing of an unmanned vehicle-mounted intelligent camera. Background technique [0002] With the development of automotive intelligent network technology, all countries in the world have regarded the development of driverless vehicles as an important strategic reserve. Especially in recent years, the rapid development of machine learning and deep learning technology has greatly promoted the process of unmanned vehicles. 3D map reconstruction is one of the most important technologies in the field of unmanned driving. Mainstream unmanned vehicles generally use multi-line radar as a 3D sensor to realize this technology. However, radar equipment is expensive, and can only recognize depth information, cannot obtain texture and color, and has insufficient perception of surroundings. [0003] Using cameras for stereo matching and o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N17/00
CPCH04N17/002
Inventor 张素民支永帅
Owner JILIN UNIV
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