Loop Closure Detection Using RTT-Guided Visual Triggering
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Solution Overview
Problem
Robotic devices with limited processing resources face challenges in performing computationally intensive image processing tasks, such as loop closure detection, which is essential for localization and navigation.
Innovation Solution
The method involves using a round trip time (RTT) measurement of a signal sent to an access point to determine the location of the robotic device, allowing it to identify if it is within a threshold distance of a previously-visited location. This information triggers visual loop closure detection only when necessary, reducing computational burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual loop closure detection is performed continuously, then localization accuracy is improved, but computational resource consumption increases
Solution Approach 1:
The system performs preliminary RTT-based location determination and compares current location with previously-visited locations to identify potential loop closures before performing visual loop closure detection. This preliminary filtering action reduces the frequency of computationally intensive visual processing while maintaining localization accuracy by triggering visual detection only when a potential loop closure is detected through RTT measurements.
2Reliability
If visual loop closure detection is performed frequently, then localization reliability is improved, but power consumption increases
Solution Approach 1:
The system performs preliminary RTT-based location determination and compares current location with previously-visited locations to identify potential loop closures before performing visual loop closure detection. This preliminary filtering action reduces the frequency of computationally intensive visual processing while maintaining localization accuracy by triggering visual detection only when a potential loop closure is detected through RTT measurements.
3Productivity
If RTT measurements are used to pre-screen locations, then computational burden is reduced, but device complexity increases
Solution Approach 1:
The system introduces RTT-based location determination as an intermediary step between robot movement and visual loop closure detection. The RTT measurements serve as a mediator that pre-screens potential loop closure candidates, allowing the system to reduce computational burden by triggering intensive visual processing only when RTT measurements indicate a potential loop closure, thus balancing processing efficiency with manageable system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables robotic devices to efficiently perform loop closure detection, reducing computational resources and power consumption by limiting intensive visual processing to only when a potential loop closure is identified.
Implementation Method 1
determining a location of the robotic device at each of the plurality of locations using a round trip time (RTT) measurement of a signal sent to an access point
Data Source
AI summary
Methods for loop closure detection performed by a processor of a robotic device may include maneuvering the robotic device through a plurality of locations, determining a location of the robotic device at each of the plurality of locations using a round trip time (RTT) measurement of a signal sent to an access point, determining whether a location of the robotic device is within a threshold distance of a previously-visited one of the plurality of locations, and performing visual loop closure detection in response to determining that the location of the robotic device is within the threshold distance of the previously-visited one of the plurality of locations.