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In this project the authors look at event-based sensing and processing for space situational awareness (SSA). Many advantages exist with the new paradigm of neuromorphic engineering, the authors investigate: If event-based optical data is suitable for the task and if processing with Spiking Neural Networks (SNN) provides advantages in terms of efficiency and efficacy. With the implementation of a novel heterogeneous LIF SNN, authors claim to surpass the state of the art in event-based SSA with a 15% increase in accuracy.
UNIVERSITY OF STRATHCLYDE
In applications such as space traffic and disaster response management, there are growing public and private capabilities. Multiple different stakeholders can detect and identify events (space collision predictions, natural disaster definitions). Augmentation of events definitions lead to confusion for local authorities, operators or any users of these information for costly decisions. This project, Space DAO, sets the base infrastructure to agree on consensus mechanisms to reduce confusion and augment trust in key decision making information.
parametry.ai
With the “democratisation of space”, and the proliferation of large non-geostationary orbit (NGO) constellations, the pace at which human-made objects are being deployed in orbit demands urgent action in defining and supporting a global Space Traffic Management (STM) plan. Promptly identifying, tracking, and cataloguing of resident space objects (RSOs), in particular after orbit insertion or break-up and fragmentation events, as the recent Russian anti-satellite weapon (ASAT) test put in evidence, is of critical importance to enable a safe and sustainable use of space.
Vyoma
Early space missions consisted of bespoke components communicating with facilities on Earth. Today this model has been updated with off-the-shelf components and reusable launch systems that lower mission cost into low-earth orbit. Extending this model to develop a sustainable off-earth economy requires bringing the concept of reconfigurable computing agents to deep space.
Mission Control Space...
For long-term studies, numerical simulations are at the center of predicting the space debris environment of the upcoming decades. In the scope of the study, the authors present the architecture and proof-of-concept results for a numerical simulation capable of modeling the long-term debris evolution over decades with a deterministic conjunction tracking model in contrast to typically employed Monte Carlo methods. For the simulation, an efficient propagator in modern C++ accounting for Earth’s gravitational anomalies, solar radiation pressure, and atmospheric drag was developed.
University of Munich
Space Based Solar Power concepts promise the generation of large amounts of renewable power by launching vast Solar Power Satellites (SPS) into space and beaming the power back to rectennas on Earth. Due to diffraction physics, large scale arrays delivering 2GW of power to the ground will be on the order of a kilometre in length and have masses between 2,000 and 10,000 tonnes. As of January 2020, the amount of debris orbiting the Earth exceeded 8,000 metric tonnes.
FRAZER-NASH
Space debris is mainly constituted by small items which cannot be de-orbited by using specific satellites launched from the Earth due to costs and difficulty in miniaturizing robotic arms or other rigid actuation systems. In a long-period vision, small cleaning satellites, with a size comparable with the debris to remove, can be manufactured in Space. Traditional robotic systems would be extremely expensive and some also would have problems in grabbing objects with undefined shape.
University of Rome `Tor...
The BIOINSPACED project was initiated to find bio-inspired solutions for space debris removal because the identification, orbital alignment, capture and removal of uncooperative bodies in space is incredibly complex and no fully functioning method is available to date. Biology and its evolved mechanisms often provide specialized concepts that show great transferability to technical systems.
Fraunhofer CML
The study demonstrates that in an emergency situation, with only a very short warning time, the launch of a fast asteroid kinetic deflection mission is feasible (targeting launch-readiness in six months!), given that certain identified pre-requisites have been prepared well in advance. The capabilities and requirements of 'hijacking' and modifying a commercial spacecraft platform in order to perform asteroid kinetic deflection in the shortest possible time were consequently assessed.
Airbus
The objective of the Landmark ClearSpace-1 mission will be to demonstrate the complete value chain of active debris removal by removing an ESA-owned object (a VESPA upper part orbiting at an altitude of 500 km) by 2025.
ClearSpace
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