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   A survey on deep learning-based monocular spacecraft pose estimation: Current state, limitations and prospectsPauly, Leo  ; Rharbaoui, Wassim ; Shneider, Carl et alin Acta Astronautica (2023), 212 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 ranging from on-orbit ... [more ▼] 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 ranging from on-orbit servicing to space debris removal. Following the general trend in computer vision, more and more works have been focusing on leveraging Deep Learning (DL) methods to address this problem. However and despite promising research-stage results, major challenges preventing the use of such methods in real-life missions still stand in the way. In particular, the deployment of such computation-intensive algorithms is still under-investigated, while the performance drop when training on synthetic and testing on real images remains to mitigate. The primary goal of this survey is to describe the current DL-based methods for spacecraft pose estimation in a comprehensive manner. The secondary goal is to help define the limitations towards the effective deployment of DL-based spacecraft pose estimation solutions for reliable autonomous vision-based applications. To this end, the survey first summarises the existing algorithms according to two approaches: hybrid modular pipelines and direct end-to-end regression methods. A comparison of algorithms is presented not only in terms of pose accuracy but also with a focus on network architectures and models' sizes keeping potential deployment in mind. Then, current monocular spacecraft pose estimation datasets used to train and test these methods are discussed. The data generation methods: simulators and testbeds, the domain gap and the performance drop between synthetically generated and lab/space collected images and the potential solutions are also discussed. Finally, the paper presents open research questions and future directions in the field, drawing parallels with other computer vision applications. [less ▲] Detailed reference viewed: 138 (1 UL)Rendezvous in cislunar halo orbits: Hardware-in-the-loop simulation with coupled orbit and attitude dynamicsMuralidharan, Vivek ; Makhdoomi, Mohatashem Reyaz ; Barad, Kuldeep Rambhai et alin Acta Astronautica (2023), 211 Space missions to Near Rectilinear Halo Orbits (NRHOs) in the Earth-Moon system are upcoming. A rendezvous technique in cislunar space is proposed in this investigation, one that leverages coupled orbit ... [more ▼] Space missions to Near Rectilinear Halo Orbits (NRHOs) in the Earth-Moon system are upcoming. A rendezvous technique in cislunar space is proposed in this investigation, one that leverages coupled orbit and attitude dynamics in the Circular Restricted Three-body Problem (CR3BP). An autonomous Guidance, Navigation, and Control (GNC) technique is demonstrated in which a chaser spacecraft approaches a target spacecraft in a sample southern 9:2 synodic-resonant L2 NRHO, one that currently serves as the baseline for NASA's Gateway. A two-layer guidance and control approach is contemplated. First, a nonlinear optimal controller identifies an appropriate baseline rendezvous path for guidance, both in position and orientation. As the spacecraft progresses along the pre-computed baseline path, navigation is performed through optical sensors that measure the relative pose of the chaser relative to the target. A Kalman filter processes these observations and offers state estimates. A linear controller compensates for any deviations identified from the predetermined rendezvous path. The efficacy of the GNC technique is tested by considering a complex scenario in which the rendezvous operation is conducted with an uncontrolled tumbling target. Hardware-in-the-loop laboratory experiments are conducted as a proof-of-concept to validate the guidance algorithm, with observations supplemented by optical navigation techniques. [less ▲] Detailed reference viewed: 192 (5 UL) Transparent occulters: A nearly zero-radiation pressure sunshade to support climate change mitigation; Hein, Andreas in Acta Astronautica (2023), 203 Detailed reference viewed: 191 (12 UL)Missions and factors determining the demand for affordable mass space tourism in the United States: A machine learning approach; Pineda Jaramillo, Juan Diego ; et alin Acta Astronautica (2023), 204 Detailed reference viewed: 313 (0 UL)Internet-to-orbit gateway and virtual ground station: A tool for space research and scientific outreachJaffer, Ghulam ; ; in Acta Astronautica (2011), 69(7), 658-666 Detailed reference viewed: 104 (0 UL)Informed Consent v. ITAR: Regulatory Conflicts That Could Constrain Commercial Human Space FlightBlount, Percy in Acta Astronautica (2009) Detailed reference viewed: 188 (0 UL) |
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