[HTML][HTML] A survey on deep learning-based monocular spacecraft pose estimation: Current state, limitations and prospects
Estimating the pose of an uncooperative spacecraft is an important computer vision problem
for enabling the deployment of automatic vision-based systems in orbit, with applications …
for enabling the deployment of automatic vision-based systems in orbit, with applications …
Artificial intelligence for satellite communication and non-terrestrial networks: A survey
This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
Onboard processing in satellite communications using ai accelerators
Satellite communication (SatCom) systems operations centers currently require high human
intervention, which leads to increased operational expenditure (OPEX) and implicit latency …
intervention, which leads to increased operational expenditure (OPEX) and implicit latency …
GPU devices for safety-critical systems: A survey
Graphics Processing Unit (GPU) devices and their associated software programming
languages and frameworks can deliver the computing performance required to facilitate the …
languages and frameworks can deliver the computing performance required to facilitate the …
GPU4S: Major project outcomes, lessons learnt and way forward
Embedded GPUs have been identified from both private and government space agencies as
promising hardware technologies to satisfy the increased needs of payload processing. The …
promising hardware technologies to satisfy the increased needs of payload processing. The …
AstroVision: Towards autonomous feature detection and description for missions to small bodies using deep learning
Missions to small celestial bodies rely heavily on optical feature tracking for characterization
of and relative navigation around the target body. While deep learning has led to great …
of and relative navigation around the target body. While deep learning has led to great …
Towards employing fpga and asip acceleration to enable onboard ai/ml in space applications
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 …
paving the way for the advent of AI/ML in satellites. However, the limited processing power of …
Accelerating AI and Computer Vision for Satellite Pose Estimation on the Intel Myriad X Embedded SoC
The challenging deployment of Artificial Intelligence (AI) and Computer Vision (CV)
algorithms at the edge pushes the community of embedded computing to examine …
algorithms at the edge pushes the community of embedded computing to examine …
Comparative analysis of soft-error sensitivity in LU decomposition algorithms on diverse GPUs
Graphics processing units (GPUs) have become integral to embedded systems and
supercomputing centres due to their large memory, cutting-edge technology and high …
supercomputing centres due to their large memory, cutting-edge technology and high …
Reliability evaluation of LU decomposition on GPU-accelerated system-on-chip under proton irradiation
Graphic processing units (GPUs) have become a basic accelerator both in high-
performance nodes and low-power system-on-chip (SoC). They provide massive data …
performance nodes and low-power system-on-chip (SoC). They provide massive data …