Simon Vellas
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StreamUR: Physics-informed Near Real-Time Underwater Image Restoration Open
The exploration of underwater environments poses significant challenges due to the optical properties of water, leading to color distortion, reduced contrast and blurring in images. This work aims to enhance the clarity and fidelity of und…
Evaluation of Resource-Efficient Crater Detectors on Embedded Systems Open
Real-time analysis of Martian craters is crucial for mission-critical operations, including safe landings and geological exploration. This work leverages the latest breakthroughs for on-the-edge crater detection aboard spacecraft. We rigor…
View article: Towards Employing FPGA and ASIP Acceleration to Enable Onboard AI/ML in Space Applications
Towards Employing FPGA and ASIP Acceleration to Enable Onboard AI/ML in Space Applications Open
The success of AI/ML in terrestrial applications and the commercialization of space are now paving the way for the advent of AI/ML in satellites. However, the limited processing power of classical onboard processors drives the community to…
Onboard frame sequence compression through multi-frame super-resolution Open
Session 4A-Tsagkatakis-Onboard frame sequence compression through multi-frame super-resolution
FPGA acceleration of hyperspectral image processing for high-speed detection applications Open
Recent advances in photonics and imaging technology allow the development of cutting-edge, lightweight hyperspectral sensors, both push-broom/line-scanning and snapshot/frame. At the same time, emerging applications in robotics, food inspe…