Meta platforms technologies, llc (20240095948). SELF-TRACKED CONTROLLER simplified abstract
Contents
- 1 SELF-TRACKED CONTROLLER
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SELF-TRACKED CONTROLLER - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does this technology handle dynamic environments where features may change over time?
- 1.11 What are the limitations of this technology in terms of scalability and processing power?
- 1.12 Original Abstract Submitted
SELF-TRACKED CONTROLLER
Organization Name
meta platforms technologies, llc
Inventor(s)
Samuel Redmond D'amico of San Francisco CA (US)
SELF-TRACKED CONTROLLER - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095948 titled 'SELF-TRACKED CONTROLLER
Simplified Explanation
The disclosed system includes a housing with components such as a physical processor, sensors, a camera, and physical memory with computer-executable instructions. The processor acquires images, identifies features, generates a map, accesses sensor data, and determines the system's current pose in the environment.
- The system includes a housing with various components such as a physical processor, sensors, a camera, and physical memory.
- The physical processor acquires images of the surrounding environment using the camera mounted to the housing.
- It identifies features of the surrounding environment from the acquired images.
- The processor generates a map using the features identified from the acquired images.
- It accesses sensor data generated by the sensors.
- The system determines a current pose of the system in the surrounding environment based on the features in the generated map and the accessed sensor data.
Potential Applications
This technology could be applied in autonomous vehicles, robotics, surveillance systems, and augmented reality applications.
Problems Solved
This technology solves the problem of accurately mapping and navigating a system in a complex environment using sensor data and image processing.
Benefits
The benefits of this technology include improved navigation accuracy, enhanced situational awareness, and increased efficiency in various applications.
Potential Commercial Applications
The potential commercial applications of this technology include autonomous vehicles, industrial automation, security systems, and virtual reality experiences.
Possible Prior Art
One possible prior art for this technology could be similar systems used in autonomous drones or robots for mapping and navigation purposes.
Unanswered Questions
How does this technology handle dynamic environments where features may change over time?
The system may need to incorporate real-time updating of the map and feature identification to adapt to changes in the environment.
What are the limitations of this technology in terms of scalability and processing power?
The system may face challenges in processing large amounts of data from sensors and images in real-time, especially in complex environments.
Original Abstract Submitted
the disclosed system may include a housing dimensioned to secure various components including at least one physical processor and various sensors. the system may also include a camera mounted to the housing, as well as physical memory with computer-executable instructions that, when executed by the physical processor, cause the physical processor to: acquire images of a surrounding environment using the camera mounted to the housing, identify features of the surrounding environment from the acquired images, generate a map using the features identified from the acquired images, access sensor data generated by the sensors, and determine a current pose of the system in the surrounding environment based on the features in the generated map and the accessed sensor data. various other methods, apparatuses, and computer-readable media are also disclosed.
