TY - JOUR
T1 - A Direct Time-of-flight Image Sensor with in-pixel Surface Detection and Dynamic Vision
AU - Gyongy, Istvan
AU - Erdogan, Ahmet
AU - Dutton, Neale
AU - Mora Martín, Germán
AU - Gorman, Alistair
AU - Mai, Hanning
AU - Mattioli Della Rocca, Francesco
AU - Henderson, Robert K.
N1 - Publisher Copyright:
Author
PY - 2023/1/20
Y1 - 2023/1/20
N2 - 3D flash LIDAR is an alternative to the traditional scanning LIDAR systems, promising precise depth imaging in a compact form factor, and free of moving parts, for applications such as self-driving cars, robotics and augmented reality (AR). Typically implemented using single-photon, direct time-of-flight (dToF) receivers in image sensor format, the operation of the devices can be hindered by the large number of photon events needing to be processed and compressed in outdoor scenarios, limiting frame rates and scalability to larger arrays. We here present a 64x32 pixel (256x128 SPAD) dToF imager that overcomes these limitations by using pixels with embedded histogramming, which lock onto and track the return signal. This reduces the size of output data frames considerably, enabling maximum frame rates in the 10 kFPS range or 100 kFPS for direct depth readings. The sensor offers selective readout of pixels detecting surfaces, or those sensing motion, akin to dynamic vision sensors that report changes in light intensity, leading to reduced power consumption and off-chip processing requirements. We demonstrate the application of the sensor in mid-range LIDAR.
AB - 3D flash LIDAR is an alternative to the traditional scanning LIDAR systems, promising precise depth imaging in a compact form factor, and free of moving parts, for applications such as self-driving cars, robotics and augmented reality (AR). Typically implemented using single-photon, direct time-of-flight (dToF) receivers in image sensor format, the operation of the devices can be hindered by the large number of photon events needing to be processed and compressed in outdoor scenarios, limiting frame rates and scalability to larger arrays. We here present a 64x32 pixel (256x128 SPAD) dToF imager that overcomes these limitations by using pixels with embedded histogramming, which lock onto and track the return signal. This reduces the size of output data frames considerably, enabling maximum frame rates in the 10 kFPS range or 100 kFPS for direct depth readings. The sensor offers selective readout of pixels detecting surfaces, or those sensing motion, akin to dynamic vision sensors that report changes in light intensity, leading to reduced power consumption and off-chip processing requirements. We demonstrate the application of the sensor in mid-range LIDAR.
UR - https://arxiv.org/abs/2209.11772v1
U2 - 10.1109/JSTQE.2023.3238520
DO - 10.1109/JSTQE.2023.3238520
M3 - Article
SN - 1077-260X
SP - 1
EP - 12
JO - IEEE Journal of Selected Topics in Quantum Electronics
JF - IEEE Journal of Selected Topics in Quantum Electronics
ER -