Jv
J. van Arkel
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Structured Degradation in Visible Light Positioning
Modeling and Compensation of Long-Term Degradation in RSS-Based VLP System
Visible Light Positioning (VLP) uses LEDs for accurate indoor localization. However, structured illumination drift caused by LED aging, optical contamination, thermal effects, blockages, and device failures can reduce the long-term accuracy of RSS-based VLP systems. This thesis investigates how this drift can be modeled and compensated for using lightweight algorithms suitable for microcontrollers.
The proposed method combines scaling-based compensation for gradual degradation with anomaly detection for sudden degradation events such as broken LEDs. This method is tested through a long-term deployment simulation using the DenseVLC dataset and is also implemented on a Raspberry Pi Pico to assess embedded feasibility. The results show that VLP systems suffer increasing errors over time, while degradation-aware compensation improves long-term robustness. However, embedded deployment introduces accuracy trade-offs due to quantization and memory constraints.
These results show that modeling and compensating for degradation mechanisms is important for reliable long-term VLP deployment, and that compensation methods need to account for both gradual and sudden changes in received signal strength. ...
The proposed method combines scaling-based compensation for gradual degradation with anomaly detection for sudden degradation events such as broken LEDs. This method is tested through a long-term deployment simulation using the DenseVLC dataset and is also implemented on a Raspberry Pi Pico to assess embedded feasibility. The results show that VLP systems suffer increasing errors over time, while degradation-aware compensation improves long-term robustness. However, embedded deployment introduces accuracy trade-offs due to quantization and memory constraints.
These results show that modeling and compensating for degradation mechanisms is important for reliable long-term VLP deployment, and that compensation methods need to account for both gradual and sudden changes in received signal strength. ...
Visible Light Positioning (VLP) uses LEDs for accurate indoor localization. However, structured illumination drift caused by LED aging, optical contamination, thermal effects, blockages, and device failures can reduce the long-term accuracy of RSS-based VLP systems. This thesis investigates how this drift can be modeled and compensated for using lightweight algorithms suitable for microcontrollers.
The proposed method combines scaling-based compensation for gradual degradation with anomaly detection for sudden degradation events such as broken LEDs. This method is tested through a long-term deployment simulation using the DenseVLC dataset and is also implemented on a Raspberry Pi Pico to assess embedded feasibility. The results show that VLP systems suffer increasing errors over time, while degradation-aware compensation improves long-term robustness. However, embedded deployment introduces accuracy trade-offs due to quantization and memory constraints.
These results show that modeling and compensating for degradation mechanisms is important for reliable long-term VLP deployment, and that compensation methods need to account for both gradual and sudden changes in received signal strength.
The proposed method combines scaling-based compensation for gradual degradation with anomaly detection for sudden degradation events such as broken LEDs. This method is tested through a long-term deployment simulation using the DenseVLC dataset and is also implemented on a Raspberry Pi Pico to assess embedded feasibility. The results show that VLP systems suffer increasing errors over time, while degradation-aware compensation improves long-term robustness. However, embedded deployment introduces accuracy trade-offs due to quantization and memory constraints.
These results show that modeling and compensating for degradation mechanisms is important for reliable long-term VLP deployment, and that compensation methods need to account for both gradual and sudden changes in received signal strength.