白丝美女被狂躁免费视频网站,500av导航大全精品,yw.193.cnc爆乳尤物未满,97se亚洲综合色区,аⅴ天堂中文在线网官网

Systems and methods for 3D image distification

專利號
US11176414B1
公開日期
2021-11-16
申請人
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY(US IL Bloomington)
發(fā)明人
Elizabeth Flowers; Puneit Dua; Eric Balota; Shanna L. Phillips
IPC分類
G06K9/62; G06K9/42; G06K9/00
技術(shù)領(lǐng)域
3d,2d,image,images,or,computing,matrix,in,2d3d,model
地域: IL IL Bloomington

摘要

Systems and methods are described for Distification of 3D imagery. A computing device may obtain a three dimensional (3D) image that includes rules defining a 3D point cloud used to generate a two dimensional (2D) image matrix. The 2D image matrix may include 2D matrix point(s) mapped to the 3D image, where each 2D matrix point can be associated with a horizontal coordinate and a vertical coordinate. The computing device can generate an output feature vector that includes, for at least one of the 2D matrix points, the horizontal coordinate and the vertical coordinate of the 2D matrix point, and a depth coordinate of a 3D point in the 3D point cloud of the 3D image. The 3D point can have a nearest horizontal and vertical coordinate pair that corresponds to the horizontal and vertical coordinates of the at least one 2D matrix point.

說明書

In another embodiment, the output data structures may be used for vehicle fleet management. For example, the manager of a fleet of vehicles can install computing devices (such as those of FIGS. 1 and 2) into the vehicles to capture 2D or 3D images of drivers, as described herein. In the current embodiment, the images of the drivers could be sent across a wireless network (e.g., 230, 234, 236) and processed by any number of computing devices (e.g., such as those in FIG. 2), for example, server(s) 220. The server(s) 220 could then provide an alert to the manager of the fleet of vehicles regarding any risky drivers or risky behaviors taken by drivers so that the manager can take appropriate action for those drivers, for example, such as requiring the driver to take a safety driving course.

In another embodiment, an output data structure and risk factors may be used in automated vehicle technology. For example, the computing devices could be configured to capture 2D or 3D images for the vehicles driving environment using the systems and methods described herein and then use those images to operate or partially operate the vehicle. In such an embodiment, the risk factor could be associated with risks in the driving environment, such as obstacles in the road and, in the current example, the output data structure would provide data entries, as described herein, to a system of the vehicle instructing the vehicle avoid the obstacle.

In another embodiment, output data structures, risk factors, images or other data captured, generated or stored, as described herein, may be used in academic research, for example, building, or describing additional models to improve driver safety.

ADDITIONAL CONSIDERATIONS

權(quán)利要求

1
微信群二維碼
意見反饋