Sun Yat-senuniversity

Guangdong Fundway Technology Co., Ltd.

Xiying Li

Sijia Chen

Ling Chen

Donghua Luo

Shuo Lv

Minxian Yuan

Qianyin Jiang

Zhi Yu

An unmanned aerial vehicle calibration method and system based on a color 3D calibration object. The method comprises: placing a color chequerboard 3D calibration object in a scene to be photographed; using an unmanned aerial vehicle to photograph images of the color chequerboard 3D calibration object from at least three different orientations; using a vanishing point theory to linearly solve the internal parameters of a camera of the unmanned aerial vehicle according to the photographed images of the color chequerboard 3D calibration object; and using a coordinate projection transformation method to determine a geometric constraint relationship between a spatial position and the images of the camera of the unmanned aerial vehicle according to the internal parameters of the camera of the unmanned aerial vehicle.

Unmanned aerial vehicle calibration method and system based on color 3D calibration object

Disclosed are an aerial image acquisition method and a system for investigating a traffic accident site by an unmanned aerial vehicle. The method comprises selecting a corresponding unmanned aerial vehicle low-altitude shooting scheme of traffic accident site according to whether three-dimensional site reconstruction or site animation simulation is needed; selecting and calculating shooting parameters of the unmanned aerial vehicle according to the unmanned aerial vehicle low-altitude shooting scheme selected; and shooting the traffic accident site according to the unmanned aerial vehicle low-altitude shooting scheme selected and the shooting parameters of the unmanned aerial vehicle, to obtain an aerial image sequence of the traffic accident site.

Aerial image acquisition method and system for investigating traffic accident site by unmanned aerial vehicle

The invention discloses a method and a system of detecting and recognizing a vehicle logo based on Selective Search, the method comprising: positioning a vehicle plate on an original image of a vehicle to obtain a vehicle plate position; coarsely positioning a vehicle logo on the original image to obtain a coarse positioning image of the vehicle logo; selecting vehicle logo candidate areas in the coarse positioning image; performing target positioning in the vehicle logo candidate areas with the Selective Search to obtain a set of target regions; training a vehicle logo location classifier with Spatial Pyramid Matching based on Sparse Coding (ScSPM) to determine the vehicle logo from the set of target regions to obtain a vehicle logo position; and training a multi-class vehicle logo recognition classifier with the ScSPM to conduct a specific type-recognition for the vehicle logo to obtain a vehicle logo recognition result.

Method and system of detecting and recognizing a vehicle logo based on selective search

A method for detecting a vehicle sunvisor's state includes obtaining a detected image; conducting a gray-scale preprocessing on the detected image, to obtain a gray-level image; conducting a main connected region extraction on the gray-level image, and calculating a geometric feature and a rectangle similarity of each main connected region; conducting a horizontal long edge extraction on the gray-level image, and conducting feature matching operation between horizontal long edges and main connected regions to obtain a region edge matching relationship; determining the sunvisor's state based on the region edge matching relationship, the geometric feature of main connected regions and rectangle similarity of main connected regions. The present invention can be widely applied in the field of image process.

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Guangzhou, China

Xiying Li