- 专利标题: Systems and methods for adaptive property analysis via autonomous vehicles
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申请号: US17087204申请日: 2020-11-02
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公开(公告)号: US11720104B2公开(公告)日: 2023-08-08
- 发明人: Jim Loveland , Leif Larson , Dan Christiansen , Tad Christiansen , Cam Christiansen
- 申请人: Loveland Innovations, Inc.
- 申请人地址: US UT Pleasant Grove
- 专利权人: Loveland Innovations, Inc.
- 当前专利权人: Loveland Innovations, Inc.
- 当前专利权人地址: US UT Pleasant Grove
- 代理机构: PCFB, LLC
- 代理商 Justin K. Flanagan
- 分案原申请号: US15388754 2016.12.22
- 主分类号: H04N5/232
- IPC分类号: H04N5/232 ; G01C11/02 ; G08G5/04 ; G05D1/00 ; B64C39/02 ; B64D47/08 ; H04N7/18 ; G06V10/22 ; G06V20/58 ; G06V20/64 ; G06V20/10 ; H04N23/66 ; G06Q40/08 ; G08G5/00 ; B64U101/30
摘要:
An unmanned aerial vehicle (UAV) assessment and reporting system may conduct micro scans of a wide variety of property types. Scan data from any of a wide variety of sensor types may be compared with profile data using computer vision techniques to identify characteristics, defects, damage, construction materials, and the like. A hierarchal structure of the scan data may reduce the size of data sets used for property identification. For example, identifying a material type of a property may reduce or eliminate the need to compare scan data with specific data profiles for defects not related to the identified material type. Similarly, identifying a particular characteristic of a property may narrow down the data sets of possible material types. A rule set evaluator may evaluate matched profile data to determine adaptive actions to modify the navigation or scanning process of the UAV.
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