Collaborative augmented reality eyewear with ego motion alignment
US-2024221220-A1 · Jul 4, 2024 · US
US9637118B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9637118-B2 |
| Application number | US-201514710801-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 13, 2015 |
| Priority date | May 19, 2014 |
| Publication date | May 2, 2017 |
| Grant date | May 2, 2017 |
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A processing apparatus includes a distance image acquirer, a moving-object detector, and a danger-level determining unit. The distance image acquirer acquires a distance image containing distance information of each pixel. The moving-object detector detects a moving object from the distance image. The danger-level determining unit determines a danger level of the moving object by use of the distance image, and outputs the danger level to a controller that controls a controlled unit in accordance with the danger level.
Opening claim text (preview).
What is claimed is: 1. A processing apparatus, comprising: processing circuitry configured to acquire a distance image having pixels containing distance information; predict an external scene situation based on a scene situation model stored in a memory; determine a recognition method based on the predicted external scene situation; detect, by analyzing the distance image using the determined recognition method, a moving object represented within the distance image; and determine a danger level of the detected moving object by use of at least the distance image, and output the danger level to a controller that controls a device in accordance with the determined danger level. 2. The processing apparatus according to claim 1 , wherein the processing circuitry is further configured to detect a motion vector of the moving object, and determine the danger level of the moving object by use of the motion vector. 3. The processing apparatus according to claim 2 , wherein the processing circuitry is further configured to determine the danger level of the moving object based on a moving direction of the moving object and a moving speed of the moving object, the moving direction being indicated by a direction of the motion vector, the moving speed being indicated by a size of the motion vector. 4. The processing apparatus according to claim 2 , wherein the processing circuitry is further configured to determine the danger level of the moving object based on a distance to the moving object, a moving direction of the moving object, and a moving speed of the moving object, the moving direction being indicated by a direction of the motion vector, the moving speed being indicated by a size of the motion vector. 5. The processing apparatus according to claim 2 , wherein the processing circuitry is further configured to determine the danger level of the moving object based on a distance to the moving object, an angle formed with the moving object, a moving direction of the moving object, and a moving speed of the moving object, the moving direction being indicated by a direction of the motion vector, the moving speed being indicated by a size of the motion vector. 6. The processing apparatus according to claim 2 , wherein the processing circuitry is further configured to determine, as the danger level of the moving object, a danger level previously set in accordance with a distance to the moving object. 7. The processing apparatus according to claim 2 , wherein the processing circuitry is further configured to determine, as the danger level of the moving object, a danger level previously set in accordance with a distance to the moving object and an angle formed therewith. 8. The processing apparatus according to claim 1 , wherein the processing circuitry is further configured to recognize an image associated with a danger level from within the distance image, and determine the danger level of the moving object by use of a determination criterion that is changed in accordance with the recognized image. 9. The processing apparatus according to claim 8 , wherein the processing circuitry is further configured to recognize, as the image associated with a danger level, an image of a target. 10. A processing system, comprising: processing circuitry configured to acquire a distance image having pixels containing distance information; predict an external scene situation based on a scene situation model stored in a memory; determine a recognition method based on the predicted external scene situation; detect, by analyzing the distance image using the determined recognition method, a moving object represented within the distance image; determine a danger level of the detected moving object by use of at least the distance image; and control a device in accordance with the determined danger level. 11. The processing system according to claim 10 , wherein the processing circuitry is further configured to perform, in accordance with the determined danger level, at least one kind of control selected from braking control of a vehicle, steering-wheel control of the vehicle, and display control of a display. 12. A processing method, comprising: acquiring, by processing circuitry, a distance image having pixels containing distance information; predicting an external scene situation based on a scene situation model stored in a memory; determining a recognition method based on the predicted external scene situation; detecting, by the processing circuitry by analyzing the distance image using the determined recognition method, a moving object represented within the distance image; and determining, by the processing circuitry, a danger level of the moving object by use of at least the distance image, and control a device in accordance with the determined danger level. 13. The processing apparatus of claim 1 , wherein the processing circuitry is further configured to determine the recognition method based on a shape change rate of a previously detected object. 14. The processing circuitry apparatus of claim 1 , wherein the processing circuitry is further configured to determine the recognition method based on an object blockage rate of a previously detected object. 15. The processing apparatus according to claim 1 , wherein the scene situation model is described as a scene graph. 16. The processing apparatus according to claim 1 , wherein the scene situation model describes at least an express highway. 17. The processing apparatus according to claim 1 , wherein the scene situation mode is updated in accordance with a recognition result and stored. 18. The processing apparatus according to claim 1 , wherein the scene situation mode represents a positional relationship between the moving object and a stationary object in the distance image. 19. The processing apparatus according to claim 1 , wherein the scene situation mode represents a positional relationship between the moving object and a road surface on which the moving object is present, in the distance image.
Spatial relation or speed relative to objects · CPC title
Input parameters relating to objects · CPC title
Vibration or motion blur correction · CPC title
based on the image signal · CPC title
involving models · CPC title
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