Evidence map›Paper›PMID 38202933›Full record

ArticleSensors (Basel, Switzerland)2023

A Dual-Purpose Camera for Attitude Determination and Resident Space Object Detection on a Stratospheric Balloon.

Gabriel Chianelli, Perushan Kunalakantha, Marissa Myhre, Regina S K Lee

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gabriel ChianelliDepartment of Earth and Space Science and Engineering, York University, Toronto, ON M3J 1P3, Canada.
Perushan KunalakanthaDepartment of Earth and Space Science and Engineering, York University, Toronto, ON M3J 1P3, Canada.
Marissa MyhreDepartment of Earth and Space Science and Engineering, York University, Toronto, ON M3J 1P3, Canada.
Regina S K LeeDepartment of Earth and Space Science and Engineering, York University, Toronto, ON M3J 1P3, Canada.

Funding

Canadian Space Agency RGPIN-2019-06322
6 · The paper itself

Abstract

Space systems play an integral role in every facet of our daily lives, including national security, communications, and resource management. Therefore, it is critical to protect our valuable assets in space and build resiliency in the space environment. In recent years, we have developed a novel approach to Space Situational Awareness (SSA), in the form of a low-resolution, Wide Field-of-View (WFOV) camera payload for attitude determination and Resident Space Object (RSO) detection. Detection is the first step in tracking, identification, and characterization of RSOs, including natural and artificial objects orbiting the Earth. A space-based dual-purpose camera that can provide attitude information alongside RSO detection can enhance the current SSA technologies which rely on ground infrastructure. A CubeSat form factor payload with real-time attitude determination and RSO detection algorithms was developed and flown onboard the CSA/CNES stratospheric balloon platform in August 2023. Sub-degree pointing information and multiple RSO detections were demonstrated during operation, with opportunities for improvement discussed. This paper outlines the hardware and software architecture, system design methodology, on-ground testing, and in-flight results of the dual-purpose camera payload.

Indexed as

attitude determinationCommercial off-the-shelf (COTS)object detectionResident Space Objects (RSOs)Space Situational Awareness (SSA)star trackerstratospheric balloon

Identifiers

PMID38202933
PMCPMC10780977

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.