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Abstract
There has recently been a keen interest in developing LiDAR systems using SPAD sensors. This has led to a variety of implementations in pixel combining techniques and TDC architectures for such sensors. This paper presents a comparison of
these approaches and demonstrates a technique capable of extending the range of LiDAR systems with improved resilience to background conditions. A LiDAR system emulator using a reconfigurable SPAD array and FPGA interface is used to compare these different techniques. A Monte Carlo simulation model leveraging synthetic 3D data is presented to visualize the sensor performance on realistic automotive LiDAR scenes.
these approaches and demonstrates a technique capable of extending the range of LiDAR systems with improved resilience to background conditions. A LiDAR system emulator using a reconfigurable SPAD array and FPGA interface is used to compare these different techniques. A Monte Carlo simulation model leveraging synthetic 3D data is presented to visualize the sensor performance on realistic automotive LiDAR scenes.
Original language | English |
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Pages (from-to) | 12-25 |
Number of pages | 14 |
Journal | IEEE Open Journal of Solid-State Circuits |
Volume | 2 |
Early online date | 11 Oct 2021 |
DOIs | |
Publication status | E-pub ahead of print - 11 Oct 2021 |
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Dive into the research topics of 'A High-Throughput Photon Processing Technique for Range Extension of SPAD-based LiDAR Receivers'. Together they form a unique fingerprint.Projects
- 2 Finished
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PhD Student Support- as part of the UoE/STMicroelectronic Research Collaboration
UK industry, commerce and public corporations
1/01/11 → 29/02/20
Project: Research