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Related Experiment Video

Updated: Jun 27, 2026

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

An On-Orbit Star Tracker Benchmark for Resident Space Object Detection and Attitude Estimation.

Vithurshan Suthakar¹, Perushan Kunalakantha², Regina S K Lee²

¹Department of Earth and Space Science, York University, Toronto, ON, M3J 1P3, Canada. vithurs@my.yorku.ca.

Scientific Data

|June 25, 2026

Summary

This study introduces a new dataset of space object imagery for enhanced space situational awareness. The data supports improved detection, tracking, and attitude estimation for spacecraft navigation.

Related Experiment Videos

Last Updated: Jun 27, 2026

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

Area of Science:

Space Science
Astrodynamics
Optical Remote Sensing

Background:

Space situational awareness (SSA) relies heavily on optical observations.
Existing datasets often lack on-orbit, wide field-of-view imagery with joint space object and star labels.

Purpose of the Study:

To present a novel dataset of near-infrared images for SSA.
To provide a valuable resource for space object detection, tracking, and attitude estimation.

Main Methods:

Acquired near-infrared images using the Fast Auroral Imager on the CASSIOPE spacecraft (Jan-Aug 2023).
Collected 1,378 frames with astrometrically calibrated stars and 4,237 verified resident space object instances.
Included spacecraft ephemeris, attitude, and image quality metrics; described calibration and annotation pipeline.

Main Results:

Validated pointing stability, astrometric accuracy, and annotation reliability.
Characterized background conditions for the acquired imagery.
Dataset supports diverse SSA tasks including object detection in star fields and multi-object tracking.

Conclusions:

The presented dataset is a significant contribution to space situational awareness research.
It facilitates advancements in on-orbit object detection, tracking, and spacecraft attitude estimation.
This shared resource is intended to benefit navigation and SSA studies.