发明名称 |
SEMANTICS BASED SAFE LANDING AREA DETECTION FOR AN UNMANNED VEHICLE |
摘要 |
A method for determining a suitable landing area for an aircraft includes receiving signals indicative of Light Detection And Ranging (LIDAR) information for a terrain via a LIDAR perception system; receiving signals indicative of image information for the terrain via a camera perception system; evaluating, with the processor, the LIDAR information and generating information indicative of a LIDAR landing zone candidate region; co-registering in a coordinate system, with the processor, the LIDAR landing zone candidate region and the image information; segmenting, with the processor, the co-registered image and the LIDAR landing zone candidate region to generate segmented regions; classifying, with the processor, the segmented regions into semantic classes; determining, with the processor, contextual information in the semantic classes; and ranking and prioritizing the contextual information. |
申请公布号 |
US2015170526(A1) |
申请公布日期 |
2015.06.18 |
申请号 |
US201314105759 |
申请日期 |
2013.12.13 |
申请人 |
Sikorsky Aircraft Corporation |
发明人 |
Wang Hongcheng;Xiong Ziyou;Derenick Jason C.;Stathis Christopher;Cherepinsky Igor |
分类号 |
G08G5/02;B64C19/00 |
主分类号 |
G08G5/02 |
代理机构 |
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代理人 |
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主权项 |
1. A method for determining a suitable landing area for an aircraft, comprising:
receiving signals indicative of terrain information for a terrain via a three-dimension (3D) perception system; receiving signals indicative of image information for the terrain via a camera perception system, the image information separate from the terrain information; evaluating, with the processor, the terrain information and generating information indicative of a landing zone candidate region; co-registering in a coordinate system, with the processor, the landing zone candidate region and the image information; segmenting, with the processor, an image region from the image information corresponding to the landing zone candidate region to generate segmented regions; classifying, with the processor, the segmented regions into semantic classes; determining, with the processor, contextual information in the semantic classes; and ranking and prioritizing the contextual information. |
地址 |
Stratford CT US |