This study introduces a data compression algorithm for Single Photon Avalanche Diode (SPAD)-based direct Time of Flight (dToF) systems, to reduce their memory requirements. The algorithm compresses most of the data at the pixel level, easing the readout process and providing higher frame rates. According to numerical simulations, with a maximum targeting range of 50 meters (m), the data compression algorithm can provide distance measurements up to 30 m with a relative error of 0.15 m under a challenging background illumination of 50 kilolux. The results show that the algorithm can compress 84.65% of the data at the pixel level.
This study introduces a data compression algorithm for Single Photon Avalanche Diode (SPAD)-based direct Time of Flight (dToF) systems, to reduce their memory requirements. The algorithm compresses most of the data at the pixel level, easing the readout process and providing higher frame rates. According to numerical simulations, with a maximum targeting range of 50 meters (m), the data compression algorithm can provide distance measurements up to 30 m with a relative error of 0.15 m under a challenging background illumination of 50 kilolux. The results show that the algorithm can compress 84.65 % of the data at the pixel level.
A Hardware-Friendly Data Compression Algorithm for SPAD-Based d-ToF Systems / Abbasi, S. I.; Tontini, A.; Passerone, R.; Gasparini, L.. - (2025), pp. 169-172. ( 2025 International Conference on IC Design and Technology, ICICDT 2025 Italy 2025) [10.1109/ICICDT65192.2025.11078130].
A Hardware-Friendly Data Compression Algorithm for SPAD-Based d-ToF Systems
Abbasi S. I.;Tontini A.;Passerone R.;Gasparini L.
2025-01-01
Abstract
This study introduces a data compression algorithm for Single Photon Avalanche Diode (SPAD)-based direct Time of Flight (dToF) systems, to reduce their memory requirements. The algorithm compresses most of the data at the pixel level, easing the readout process and providing higher frame rates. According to numerical simulations, with a maximum targeting range of 50 meters (m), the data compression algorithm can provide distance measurements up to 30 m with a relative error of 0.15 m under a challenging background illumination of 50 kilolux. The results show that the algorithm can compress 84.65% of the data at the pixel level.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
