Dynamic Sensor Selection for Power-Efficient Visual-Inertial Odometry
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wearable mobile devices face challenges in efficiently determining their position within an environment while managing power consumption effectively, as sensors consume significant power without compromising tracking accuracy.
Innovation Solution
The eyewear device adjusts the operation of its sensors based on environmental conditions and motion status, such as turning sensors on/off or changing sampling rates, to optimize power usage while maintaining tracking accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors operate continuously at high sampling rates to maintain tracking accuracy, then measurement precision is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts sensor sampling rates based on motion detection. When motion is detected, the sampling rate increases to maintain tracking accuracy; when stationary, the sampling rate decreases to conserve power. This dynamic adaptation resolves the contradiction between continuous high-precision measurement and energy conservation.
Solution Approach 2:
The system changes operational parameters (sampling rates) of sensors based on environmental conditions and motion status. By adjusting the sampling rate parameter dynamically, the system maintains measurement precision when needed while reducing energy consumption during periods of low activity.
2Reliability
If all sensors are activated to improve positioning reliability, then reliability is improved, but energy consumption increases
Solution Approach 1:
The system activates only the necessary subset of sensors required for reliable positioning based on current environmental conditions and motion status. Rather than continuously activating all sensors, the system applies partial action by selecting only those sensors needed at any given moment, thereby maintaining positioning reliability while reducing overall power consumption.
Data Source
AI summary
Visual-inertial tracking of an eyewear device using sensors. The eyewear device monitors the sensors of a visual inertial odometry system (VIOS) that provide input for determining a position of the device within its environment. The eyewear device determines the status of the VIOS based information from the sensors and adjusts the plurality of sensors (e.g., by turning on/off sensors, changing the sampling rate, of a combination thereof) based on the determined status. The eyewear device then determines the position of the eyewear device within the environment using the adjusted plurality of sensors.