发明名称 |
REAL-TIME SYSTEM FOR MULTI-MODAL 3D GEOSPATIAL MAPPING, OBJECT RECOGNITION, SCENE ANNOTATION AND ANALYTICS |
摘要 |
A multi-sensor, multi-modal data collection, analysis, recognition, and visualization platform can be embodied in a navigation capable vehicle. The platform provides an automated tool that can integrate multi-modal sensor data including two-dimensional image data, three-dimensional image data, and motion, location, or orientation data, and create a visual representation of the integrated sensor data, in a live operational environment. An illustrative platform architecture incorporates modular domain-specific business analytics “plug ins” to provide real-time annotation of the visual representation with domain-specific markups. |
申请公布号 |
US2015269438(A1) |
申请公布日期 |
2015.09.24 |
申请号 |
US201414575495 |
申请日期 |
2014.12.18 |
申请人 |
SRI International |
发明人 |
Samarasekera Supun;Hadsell Raia;Kumar Rakesh;Sawhney Harpreet S.;Matei Bogdan C.;Villamil Ryan |
分类号 |
G06K9/00;G06K9/62;G06T17/05 |
主分类号 |
G06K9/00 |
代理机构 |
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代理人 |
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主权项 |
1. A mobile computing device, comprising:
one or more processors, and, in communication with the one or more processors: one or more image sensors configured to obtain two-dimensional image data and three-dimensional image data; one or more non-transitory machine accessible storage media comprising instructions to cause the mobile computing device to: temporally and spatially align the two-dimensional image data and three-dimensional image data; generate a map representation of a geo-spatial area of the real world surroundings of the mobile computing device based on the temporally and spatially aligned two-dimensional and three-dimensional image data; and recognize a plurality of visual features in the map representation, using one or more computer vision algorithms to:
recognize larger-scale objects;recognize smaller-scale objects by iteratively performing context-free object identification and contextual object identification; andrecognize a complex object comprising a plurality of the smaller-scale objects, using a classifier. |
地址 |
Menlo Park CA US |