Switching among disparate simultaneous localization and mapping (SLAM) methods in virtual, augmented, and mixed reality (xR) applications

1. An Information Handling System (IHS), comprising:

a host processor; and

a memory coupled to the host processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to:

identify a plurality of Simultaneous Localization and Mapping (SLAM) devices available to a virtual, augmented, or mixed reality (xR) application, wherein each of the plurality of SLAM devices implements a corresponding one of a plurality of SLAM methods;

compare signal-to-noise ratios (SNRs) associated with at least two of the plurality of SLAM methods;

designate a primary SLAM method among the plurality of SLAM methods, at least in part, based upon the comparison;

designate a secondary SLAM method among the plurality of SLAM methods based on the secondary SLAM method's SNR;

use the primary SLAM method to execute the xR application;

in response to a determination that a second SNR associated with the secondary SLAM method is greater than a first SNR associated with the primary SLAM method, and that the first and second SNRs are greater than a threshold value, determine an accuracy associated with the secondary SLAM method; and

in response to a determination that the accuracy associated with the secondary SLAM method is greater than an accuracy associated with the primary SLAM method, re-designate the secondary SLAM method as primary, and re-designate the primary SLAM method as secondary.

2. The IHS of claim 1 , wherein the plurality of SLAM devices comprises at least two of: a visual odometry device, a static marker device, a lighthouse device, or a map-from-cloud device.

3. The IHS of claim 1 , wherein to identify the plurality of SLAM devices, a Head-Mounted Display (HMD) is configured to communicate with an Internet-of-Things (IoT) device configured to store a context of an environment where the IoT device is located.

4. The IHS of claim 1 , wherein the program instructions, upon execution, further cause the IHS to operate the primary SLAM method at full capacity and the secondary SLAM method at reduced capacity.

5. A method, comprising:

identifying a plurality of available Simultaneous Localization and Mapping (SLAM) devices, wherein each of the plurality of available SLAM devices implements a corresponding one of a plurality of SLAM methods;

designating a primary SLAM device among the plurality of available SLAM devices based upon a comparison between signal-to-noise ratios (SNRs) for the plurality of available SLAM methods;

designating a secondary SLAM method among the plurality of SLAM methods;

using the primary SLAM method in a virtual, augmented, or mixed reality (xR) application;

in response to a determination that an SNR associated with the secondary SLAM method is above a threshold, determining an accuracy associated with the secondary SLAM method.

6. The method of claim 5 , wherein identifying the plurality of SLAM methods further comprises communicating with an Internet-of-Things (IoT) device configured to store a context of an environment where a Head-Mounted Device (HMD) is located.

7. The method of claim 5 , further comprising operating the secondary SLAM method with a reduced bandwidth.

8. The method of claim 5 , further comprising:

in response to a determination that the accuracy associated with the secondary SLAM method is greater than an accuracy associated with the primary SLAM method, re-designating the secondary SLAM method as primary, and re-designating the primary SLAM method as secondary.

9. A hardware memory device having program instructions stored thereon that, upon execution by a hardware processor, cause the hardware processor to:

identify a plurality of available Simultaneous Localization and Mapping (SLAM) devices, wherein each of the plurality of available SLAM devices implements a corresponding one of a plurality of SLAM methods;

designate a primary SLAM method among the plurality of SLAM methods based upon a comparison between signal-to-noise ratios (SNRs) for each of the plurality of SLAM methods;

designate a secondary SLAM method among the plurality of SLAM methods;

use the primary SLAM method in a virtual, augmented, or mixed reality (xR) application; and

in response to a determination that an SNR associated with the secondary SLAM method is above a threshold, determine an accuracy associated with the secondary SLAM method.

10. The hardware memory device of claim 9 , wherein the program instructions, upon execution, further cause the hardware processor to identify the plurality of available SLAM devices further comprises communicating with an Internet-of-Things (IoT) device configured to store a context of an environment where a Head-Mounted Device (HMD) is located.

11. The hardware memory device of claim 9 , wherein the program instructions, upon execution, further cause the hardware processor to operate the primary SLAM method with full bandwidth and the secondary SLAM method with reduced bandwidth.

12. The hardware memory device of claim 9 , wherein the program instructions, upon execution, further cause the hardware processor to:

in response to a determination that the accuracy associated with the secondary SLAM method is greater than an accuracy associated with the primary SLAM method, re-designate the secondary SLAM method as primary, and re-designate the primary SLAM method as secondary.