- 专利标题: DEPTH MAP GENERATION
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申请号: US17337664申请日: 2021-06-03
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公开(公告)号: US20220390591A1公开(公告)日: 2022-12-08
- 发明人: Yunfei Long , Daniel Morris , Xiaoming Liu , Marcos Paul Gerardo Castro , Praveen Narayanan , Punarjay Chakravarty
- 申请人: Ford Global Technologies, LLC , Board of Trustees of Michigan State University
- 申请人地址: US MI Dearborn; US MI East Lansing
- 专利权人: Ford Global Technologies, LLC,Board of Trustees of Michigan State University
- 当前专利权人: Ford Global Technologies, LLC,Board of Trustees of Michigan State University
- 当前专利权人地址: US MI Dearborn; US MI East Lansing
- 主分类号: G01S13/89
- IPC分类号: G01S13/89 ; G06T7/579 ; G01S13/931 ; G01B15/00
摘要:
A computer includes a processor and a memory storing instructions executable by the processor to receive radar data from a radar, the radar data including radar pixels having respective measured depths; receive camera data from a camera, the camera data including an image frame including camera pixels; map the radar pixels to the image frame; generate respective regions of the image frame surrounding the respective radar pixels; for each region, determine confidence scores for the respective camera pixels in that region; output a depth map of projected depths for the respective camera pixels based on the confidence scores; and operate a vehicle including the radar and the camera based on the depth map. The confidence scores indicate confidence in applying the measured depth of the radar pixel for that region to the respective camera pixels.
公开/授权文献
- US12061253B2 Depth map generation 公开/授权日:2024-08-13
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