3D Camera and Method of Detecting Three-Dimensional Image Data
US-2015042765-A1 · Feb 12, 2015 · US
US9411338B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9411338-B2 |
| Application number | US-201314655438-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 28, 2013 |
| Priority date | Feb 27, 2013 |
| Publication date | Aug 9, 2016 |
| Grant date | Aug 9, 2016 |
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A cleaning robot ( 1 ) which is an autonomous mobile system performs coordinate conversion of three-dimensional coordinate data acquired by measurement in a distance image sensor ( 20 ) which is arranged in a frontward and obliquely downward direction to generate three-dimensional coordinate data of a floor surface reference. Labels are applied to this data by judging a level difference or an obstacle according to height from a floor surface (F) to create overhead view image data seen from directly above a cleaning robot main body. The overhead view image data is scanned, and only when the labels are arranged in a specific order, processing for substituting an unspecified area with a level difference is performed. Thereby, positional deviation of an edge of the level difference, which is caused by a blind spot, is corrected and a position of the level difference is able to be grasped accurately.
Opening claim text (preview).
The invention claimed is: 1. A surrounding environment recognition device, comprising: a distance sensor; a concave part judgment portion that judges at least a concave area lower than a floor surface based on distance data acquired from the distance sensor; an overhead view data creation portion that performs coordinate conversion of the distance data with the floor surface as a reference to create overhead view data, and a correction processing portion that, in the overhead view data, corrects deviation of a position of a border between a concave area which is caused by a blind spot of the distance sensor and an area other than the concave area. 2. The surrounding environment recognition device according to claim 1 , wherein the correction processing portion determines possibility/impossibility of correction of the deviation of the position of the border based on whether or not data judged by the concave part judgment portion is arranged in a specific order in the overhead view data. 3. The surrounding environment recognition device according to claim 1 , wherein the correction processing portion calculates a size of the blind spot of the distance sensor based on an attachment angle of the distance sensor, depth information of the concave area and distance data of the concave area, and determines a correction amount to the concave area. 4. An autonomous mobile system which comprises the surrounding environment recognition device according to claim 1 and which moves while recognizing a movable area in a front side of an advancing direction. 5. A surrounding environment recognition method, comprising: measuring a floor surface by a distance sensor which is arranged in a frontward and obliquely downward direction to generate three-dimensional coordinate data of a floor surface reference, judging a floor surface area and a concave area lower than the floor surface based on the three-dimensional coordinate data and labeling the three-dimensional coordinate data to create overhead view data, and scanning the overhead view data, and when the labels are arranged in a specific order, performing correction of deviation of a position of a border between a concave area which is caused by a blind spot of the distance sensor and an area other than the concave area.
Mobile robot · CPC title
in combination with a laser (lasers per se H01S) · CPC title
for measuring contours or curvatures · CPC title
Physics · mapped topic
characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours (using knowledge based models G06N5/00) · CPC title
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