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Andreas Aßmann
Andreas Aßmann
STMicroelectronics R&D Ltd.
Verified email at st.com
Title
Cited by
Cited by
Year
A high-throughput photon processing technique for range extension of SPAD-based LiDAR receivers
SM Patanwala, I Gyongy, H Mai, A Aßmann, NAW Dutton, BR Rae, ...
IEEE Open Journal of the Solid-State Circuits Society 2, 12-25, 2021
242021
Deep learning for LiDAR waveforms with multiple returns
A Aßmann, B Stewart, AM Wallace
2020 28th European Signal Processing Conference (EUSIPCO), 1571-1575, 2021
212021
Compressive super-pixel LiDAR for high-framerate 3D depth imaging
A Aßmann, B Stewart, JFC Mota, AM Wallace
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019
142019
Efficient micro-Doppler based pedestrian activity classification for ADAS systems using Krawtchouk moments
A Aßmann, A Izzo, C Clemente
11th IMA International Conference on Mathematics in Signal Processing, 2016
92016
Accelerated 3D image reconstruction for resource constrained systems
A Aßmann, Y Wu, B Stewart, AM Wallace
2020 28th European Signal Processing Conference (EUSIPCO), 565-569, 2021
62021
Method and devices for enhanced imaging
A Assmann
US Patent 11,477,431, 2022
22022
Parallel block compressive LiDAR imaging
A Aßmann, JFC Mota, BD Stewart, AM Wallace
IEEE Transactions on Computational Imaging 8, 385-396, 2022
22022
Energy efficient approximate 3d image reconstruction
Y Wu, A Aßmann, BD Stewart, AM Wallace
IEEE Transactions on Emerging Topics in Computing 10 (4), 1854-1866, 2021
22021
Differential correlator filter for efficient tof peak finding
A Assmann
US Patent App. 17/858,421, 2024
2024
Methods and devices for identifying peaks in histograms
A Assmann
US Patent App. 17/697,784, 2023
2023
Scalable depth sensor
A Assmann, BD Stewart
US Patent 11,721,031, 2023
2023
Sparse under display lidar
A Assmann
US Patent App. 17/575,520, 2023
2023
Efficient Reconfigurable Mixed Precision Solver for Compressive Depth Reconstruction
Y Wu, AM Wallace, JFC Mota, A Aßmann, B Stewart
Journal of Signal Processing Systems 94 (10), 1083-1099, 2022
2022
Mixed Precision ℓ1 Solver for Compressive Depth Reconstruction: An ADMM Case Study
Y Wu, AM Wallace, A Aßmann, B Stewart
2021 IEEE Workshop on Signal Processing Systems (SiPS), 70-75, 2021
2021
A Hardware and Simulation-based Framework for Design of SPAD Receivers in Scanning LiDAR Systems. International Image Sensor Workshop
S Patanwala, A Gorman, A Assmann, I Gyongy, N Dutton, BR Rae, ...
International Image Sensor Workshop 2021, 2021
2021
Arrayed LiDAR signal analysis for automotive applications
A Assmann
Heriot-Watt University, 2021
2021
A Hardware and Simulation-based Framework for Design of SPAD Receivers in Scanning LiDAR Systems
SM Patanwala, H Mai, A Gorman, A Aßmann, I Gyongy, NAW Dutton, ...
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