Apple inc. (20240104895). DATA SELECTION simplified abstract
Contents
DATA SELECTION
Organization Name
Inventor(s)
Fernando A. Mujica of Los Altos CA (US)
Vijay Srivatsan of Los Altos CA (US)
Muhammad Umair Siddique of Kanata (CA)
DATA SELECTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104895 titled 'DATA SELECTION
Simplified Explanation
The present disclosure generally relates to select data (e.g., sensor data and/or depth values generated using sensor data). In some examples, techniques for determining whether to use sensor fusion are provided. In some examples, techniques for determining whether to use a voting mechanism are provided. In some examples, techniques for responding to different types of decisions are provided.
- Sensor data and depth values are used in the disclosed techniques.
- The techniques involve determining whether to use sensor fusion.
- The techniques also involve determining whether to use a voting mechanism.
- Different types of decisions are responded to using the techniques.
Potential Applications
The technology described in this patent application could be applied in various industries and fields, including:
- Robotics
- Autonomous vehicles
- Augmented reality
- Virtual reality
Problems Solved
The technology addresses several challenges and issues, such as:
- Improving accuracy of sensor data
- Enhancing decision-making processes
- Optimizing performance of systems relying on sensor data
Benefits
The use of the techniques outlined in the patent application offers several benefits, including:
- Increased efficiency in data processing
- Enhanced reliability of decision-making
- Improved overall system performance
Potential Commercial Applications
With its wide range of applications and benefits, this technology could be commercially utilized in sectors such as:
- Automotive industry
- Healthcare
- Gaming industry
- Industrial automation
Possible Prior Art
One possible prior art related to this technology is the use of sensor fusion techniques in robotics and autonomous systems to improve data accuracy and decision-making processes.
Unanswered Questions
How does this technology compare to existing sensor fusion methods in terms of accuracy and efficiency?
The patent application does not provide a direct comparison with existing sensor fusion methods in terms of accuracy and efficiency. Further research or testing may be needed to evaluate the performance of the disclosed techniques in comparison to other methods.
What are the potential limitations or drawbacks of implementing the voting mechanism described in the patent application?
The patent application does not discuss potential limitations or drawbacks of implementing the voting mechanism. It would be important to consider factors such as computational complexity and potential biases in the decision-making process when using this mechanism.
Original Abstract Submitted
the present disclosure generally relates select data (e.g., sensor data and/or depth values generated using sensor data). in some examples, techniques for determining whether to use sensor fusion are provided. in some examples, techniques for determining whether to use a voting mechanism are provided. in some examples, techniques for responding to different types of decisions are provided.
