TY - GEN
T1 - Single Photon LiDAR Compression
T2 - 2023 IEEE 66th International Midwest Symposium on Circuits and Systems, MWSCAS 2023
AU - Al-Shabili, Abdullah H.
AU - Weerasooriya, Hashan K.
AU - Weligampola, Harshana
AU - Chennuri, Prateek
AU - Abshire, Pamela
AU - Chan, Stanley
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Real-time mapping of the surroundings plays a pivotal role in ensuring the success of autonomous vehicles. Among the technologies showing promise for depth mapping is Single Photon Light Detection and Ranging (SPL) which offers impressive long-range capabilities, superior depth resolution, and energy-efficient laser sources. However, the adoption of high-resolution, high frame-rate SPL systems results in significant data volumes, often reaching several Gbit/s. This creates a throughput bottleneck that impedes real-time applications and necessitates the development of effective compression schemes. This paper addresses the challenges associated with SPL compression and provides a comprehensive overview of recent advancements in this domain. The review encompasses various compression methods, including algorithmic and/or hardware-based approaches, spatial and/or temporal compression techniques. We also discuss future directions, such as integrating deep learning and fusion techniques with other sensing modalities.
AB - Real-time mapping of the surroundings plays a pivotal role in ensuring the success of autonomous vehicles. Among the technologies showing promise for depth mapping is Single Photon Light Detection and Ranging (SPL) which offers impressive long-range capabilities, superior depth resolution, and energy-efficient laser sources. However, the adoption of high-resolution, high frame-rate SPL systems results in significant data volumes, often reaching several Gbit/s. This creates a throughput bottleneck that impedes real-time applications and necessitates the development of effective compression schemes. This paper addresses the challenges associated with SPL compression and provides a comprehensive overview of recent advancements in this domain. The review encompasses various compression methods, including algorithmic and/or hardware-based approaches, spatial and/or temporal compression techniques. We also discuss future directions, such as integrating deep learning and fusion techniques with other sensing modalities.
KW - compression
KW - compressive learning
KW - compressive sensing
KW - deep learning
KW - depth imaging
KW - Single Photon LiDAR (SPL)
UR - https://www.scopus.com/pages/publications/85185381720
U2 - 10.1109/MWSCAS57524.2023.10405954
DO - 10.1109/MWSCAS57524.2023.10405954
M3 - Conference contribution
AN - SCOPUS:85185381720
T3 - Midwest Symposium on Circuits and Systems
SP - 952
EP - 956
BT - 2023 IEEE 66th International Midwest Symposium on Circuits and Systems, MWSCAS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 August 2023 through 9 August 2023
ER -