Rv
R. van Dijk
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The radio-frequency spectrum is increasingly congested and costly to license, which motivates the use of complementary wireless links in other parts of the electromagnetic spectrum.
Visible Light Communications (VLC) transmits data by modulating visible light.
Among the receiver types used in this field, event cameras are attracting increasing attention due to their significantly higher rates than conventional cameras.
Recent work has studied event-camera VLC in either Line-of-Sight (LoS) or Non-Line-of-Sight (NLoS) settings, but has not combined both links in a single transmitter.
In applications such as infrastructure-to-vehicle communication, receivers may operate under both LoS and NLoS conditions, making it desirable to support both link types simultaneously.
This thesis presents a single LED-matrix transmitter that supports both a high-data-rate (high-fidelity) LoS stream and a low-data-rate (low-fidelity) NLoS stream simultaneously.
To this end, we introduce Dual On-Off Keying (DOOK), a multi-fidelity modulation scheme that encodes high-fidelity data in the spatial and temporal dimensions, while encoding low-fidelity data in the temporal dimension only.
We further combine DOOK with state-of-the-art modulation schemes and design flicker-free variants.
We evaluate the resulting trade-offs between throughput, Bit Error Rate, and flicker.
Using DOOK, we achieve 366 kbps on the LoS link and 2,9 kbps on the NLoS link with a BER below 10-3.
DOOK with Manchester encoding halves the throughput and produces the least flicker among the evaluated schemes.
Compared with prior work, our NLoS throughput is 1,7× higher, while our LoS throughput is 1,8× higher per channel.
More importantly, our system combines both links in a single transmitter. ...
Visible Light Communications (VLC) transmits data by modulating visible light.
Among the receiver types used in this field, event cameras are attracting increasing attention due to their significantly higher rates than conventional cameras.
Recent work has studied event-camera VLC in either Line-of-Sight (LoS) or Non-Line-of-Sight (NLoS) settings, but has not combined both links in a single transmitter.
In applications such as infrastructure-to-vehicle communication, receivers may operate under both LoS and NLoS conditions, making it desirable to support both link types simultaneously.
This thesis presents a single LED-matrix transmitter that supports both a high-data-rate (high-fidelity) LoS stream and a low-data-rate (low-fidelity) NLoS stream simultaneously.
To this end, we introduce Dual On-Off Keying (DOOK), a multi-fidelity modulation scheme that encodes high-fidelity data in the spatial and temporal dimensions, while encoding low-fidelity data in the temporal dimension only.
We further combine DOOK with state-of-the-art modulation schemes and design flicker-free variants.
We evaluate the resulting trade-offs between throughput, Bit Error Rate, and flicker.
Using DOOK, we achieve 366 kbps on the LoS link and 2,9 kbps on the NLoS link with a BER below 10-3.
DOOK with Manchester encoding halves the throughput and produces the least flicker among the evaluated schemes.
Compared with prior work, our NLoS throughput is 1,7× higher, while our LoS throughput is 1,8× higher per channel.
More importantly, our system combines both links in a single transmitter. ...
The radio-frequency spectrum is increasingly congested and costly to license, which motivates the use of complementary wireless links in other parts of the electromagnetic spectrum.
Visible Light Communications (VLC) transmits data by modulating visible light.
Among the receiver types used in this field, event cameras are attracting increasing attention due to their significantly higher rates than conventional cameras.
Recent work has studied event-camera VLC in either Line-of-Sight (LoS) or Non-Line-of-Sight (NLoS) settings, but has not combined both links in a single transmitter.
In applications such as infrastructure-to-vehicle communication, receivers may operate under both LoS and NLoS conditions, making it desirable to support both link types simultaneously.
This thesis presents a single LED-matrix transmitter that supports both a high-data-rate (high-fidelity) LoS stream and a low-data-rate (low-fidelity) NLoS stream simultaneously.
To this end, we introduce Dual On-Off Keying (DOOK), a multi-fidelity modulation scheme that encodes high-fidelity data in the spatial and temporal dimensions, while encoding low-fidelity data in the temporal dimension only.
We further combine DOOK with state-of-the-art modulation schemes and design flicker-free variants.
We evaluate the resulting trade-offs between throughput, Bit Error Rate, and flicker.
Using DOOK, we achieve 366 kbps on the LoS link and 2,9 kbps on the NLoS link with a BER below 10-3.
DOOK with Manchester encoding halves the throughput and produces the least flicker among the evaluated schemes.
Compared with prior work, our NLoS throughput is 1,7× higher, while our LoS throughput is 1,8× higher per channel.
More importantly, our system combines both links in a single transmitter.
Visible Light Communications (VLC) transmits data by modulating visible light.
Among the receiver types used in this field, event cameras are attracting increasing attention due to their significantly higher rates than conventional cameras.
Recent work has studied event-camera VLC in either Line-of-Sight (LoS) or Non-Line-of-Sight (NLoS) settings, but has not combined both links in a single transmitter.
In applications such as infrastructure-to-vehicle communication, receivers may operate under both LoS and NLoS conditions, making it desirable to support both link types simultaneously.
This thesis presents a single LED-matrix transmitter that supports both a high-data-rate (high-fidelity) LoS stream and a low-data-rate (low-fidelity) NLoS stream simultaneously.
To this end, we introduce Dual On-Off Keying (DOOK), a multi-fidelity modulation scheme that encodes high-fidelity data in the spatial and temporal dimensions, while encoding low-fidelity data in the temporal dimension only.
We further combine DOOK with state-of-the-art modulation schemes and design flicker-free variants.
We evaluate the resulting trade-offs between throughput, Bit Error Rate, and flicker.
Using DOOK, we achieve 366 kbps on the LoS link and 2,9 kbps on the NLoS link with a BER below 10-3.
DOOK with Manchester encoding halves the throughput and produces the least flicker among the evaluated schemes.
Compared with prior work, our NLoS throughput is 1,7× higher, while our LoS throughput is 1,8× higher per channel.
More importantly, our system combines both links in a single transmitter.
The appearance of an object or scene is determined by factors like the material, the lights, the geometry, the position of the observer, and the surroundings.
Changes in these factors can be simulated using a projector-camera setup.
Other research focuses on changing the appearance from the perspective of the projector, or on projector compensation for slightly warped planar surfaces.
This paper aims to simulate changes in the scene's appearance by actively manipulating the lighting using a projector-camera setup.
It works on not only planar surfaces, but also on more complex geometries.
This is achieved by first doing a calibration, and then using this to optimize a projection.
This projection is optimized to minimize the difference between how the scene looks when the projection is projected and the desired scene.
For low-resolution projectors, it can do this in a few seconds to half a minute.
For higher resolutions, the calibration time and file size get quite big.
This can be solved in future work using different calibration methods. ...
Changes in these factors can be simulated using a projector-camera setup.
Other research focuses on changing the appearance from the perspective of the projector, or on projector compensation for slightly warped planar surfaces.
This paper aims to simulate changes in the scene's appearance by actively manipulating the lighting using a projector-camera setup.
It works on not only planar surfaces, but also on more complex geometries.
This is achieved by first doing a calibration, and then using this to optimize a projection.
This projection is optimized to minimize the difference between how the scene looks when the projection is projected and the desired scene.
For low-resolution projectors, it can do this in a few seconds to half a minute.
For higher resolutions, the calibration time and file size get quite big.
This can be solved in future work using different calibration methods. ...
The appearance of an object or scene is determined by factors like the material, the lights, the geometry, the position of the observer, and the surroundings.
Changes in these factors can be simulated using a projector-camera setup.
Other research focuses on changing the appearance from the perspective of the projector, or on projector compensation for slightly warped planar surfaces.
This paper aims to simulate changes in the scene's appearance by actively manipulating the lighting using a projector-camera setup.
It works on not only planar surfaces, but also on more complex geometries.
This is achieved by first doing a calibration, and then using this to optimize a projection.
This projection is optimized to minimize the difference between how the scene looks when the projection is projected and the desired scene.
For low-resolution projectors, it can do this in a few seconds to half a minute.
For higher resolutions, the calibration time and file size get quite big.
This can be solved in future work using different calibration methods.
Changes in these factors can be simulated using a projector-camera setup.
Other research focuses on changing the appearance from the perspective of the projector, or on projector compensation for slightly warped planar surfaces.
This paper aims to simulate changes in the scene's appearance by actively manipulating the lighting using a projector-camera setup.
It works on not only planar surfaces, but also on more complex geometries.
This is achieved by first doing a calibration, and then using this to optimize a projection.
This projection is optimized to minimize the difference between how the scene looks when the projection is projected and the desired scene.
For low-resolution projectors, it can do this in a few seconds to half a minute.
For higher resolutions, the calibration time and file size get quite big.
This can be solved in future work using different calibration methods.