Systems and methods for coordinating device actions

1. An obstacle avoidance method for a first movable object, the method comprising:

receiving a first dataset indicating a first surrounding with a first perspective, the first dataset including a first image taken by the first movable object;

receiving, by the first movable object, a second dataset indicating a second surrounding with a second perspective from an external source of the first movable object:

generating a composite dataset from the first and the second datasets;

extracting parameters describing a structure from the composite dataset, the parameters including at least one of a distance of the structure from the first movable object, a location and a size of the structure, and motion of the structure;

determining that the first movable object has potential collision with the structure n a moving path of the first movable object based on the extracted parameters;

identifying the structure as an obstacle; and

causing the first movable object to avoid the obstacle by altering the moving path of the first movable object.

2. The method of claim 1 , wherein the second dataset includes a second image taken by a second movable object.

3. The method of claim 2 , further comprising: altering a moving path of the second movable object based on an altered moving path of the first movable object.

4. The method of claim 1 , wherein the composite dataset contains three-dimensional information indicating at least one of a size or a location of at least one object.

5. The method of claim 1 , wherein generating the composite dataset from the first dataset and the second dataset includes:

generating the composite dataset by combining the first dataset and the second dataset using a structure from motion (SfM) algorithm.

6. The method of claim 1 , wherein determining that the first movable object has potential collision with the structure in the moving path of the first movable object based on the extracted parameters comprises:

determining that the structure and the moving path of the first movable object intersects with each other.

7. The method of claim 1 , wherein at least a part of the second surrounding with the second perspective is not detectable by the first movable object.

8. A non-transitory computer-readable medium storing instructions that, when executed, cause a computing device to perform an obstacle avoidance method for a movable object, the method comprising:

receiving a first dataset indicating a first surrounding with a first perspective;

receiving a second dataset indicating a second surrounding with a second perspective;

generating a composite dataset from the first dataset and the second dataset;

extracting parameters describing a structure from the composite dataset, the parameters including at least one of a distance of the structure from the movable object, a location and a size of the structure, and motion of the structure;

determining that the movable object has potential collision with the structure in a moving path of the movable object based on the extracted parameters;

identifying the structure as an obstacle; and

causing the movable object to avoid the obstacle by altering the moving path of the movable object.

9. The non-transitory computer-readable medium of claim 8 , wherein the first dataset includes a first image taken by a first movable object and the second dataset includes a second image taken by a second movable object.

10. The non-transitory computer-readable medium of claim 9 , wherein the method further comprises: altering a moving path of the second movable object based on an altered moving path of the first movable object.

11. The non-transitory computer-readable medium of claim 8 , wherein the composite dataset contains three-dimensional information indicating at least one of a size or a location of at least one object.

12. The non-transitory computer-readable medium of claim 8 , wherein the computing device is coupled to the movable object.

13. The non-transitory computer-readable medium of claim 8 , wherein at least a part of the second surrounding with the second perspective is not detectable by the first movable object.

14. A system of obstacle avoidance for a movable object by a computing device comprising:

one or more processors, and

configured to:

receive a first dataset indicating a first surrounding with a first perspective;

receive a second dataset indicating a second surrounding with a second perspective;

generate a composite dataset from the first dataset and the second dataset; and

extract parameters describing a structure from the composite dataset, the parameters including at least one of a distance of the structure from the movable object, a location and a size of the structure, and motion of the structure;

determine that the structure is in a moving path of the movable object based on the extracted parameters;

identify the structure as an obstacle; and

cause the movable object to avoid the obstacle by altering the moving path of the movable object.

15. The system of claim 14 , wherein the first dataset includes a first image taken by a first movable object and the second dataset includes a second image taken by a second movable object.

16. The system of claim 14 , wherein the composite dataset contains three-dimensional information indicating at least one of a size or a location of at least one object.

17. The system of claim 14 , wherein the computing device is coupled to an unmanned aerial vehicle.

18. The system of claim 14 , wherein the detector is configured to generate the composite dataset from the first dataset and the second dataset by combining the first dataset and the second dataset using a structure from motion (SfM) algorithm.

19. The system of claim 14 , wherein at least a part of the second surrounding with the second perspective is not detectable by the first movable object.

20. The system of claim 14 , wherein the one or more processors is further configured to alter a moving path of the second movable object based on an altered moving path of the first movable object.