Deep Learning Attitude Sensor provides real-time image recognition from satellite orbit JAXA

Deep Learning Attitude Sensor provides real-time image recognition from satellite orbit JAXA

Epsilon-4 to launch with experimental Earth sensor and star tracker developed by Tokyo Tech | Tokyo Tech News Research

January 18, 2019

Researchers at Tokyo Tech have developed a low-cost star tracker and Earth sensor made from commercially available components.

The star tracker is designed for use with micro-satellites in handling calibration observations, operation verification tests, and long-term performance monitoring during orbit.

Embodying the concept of edge computing, the Earth camera performs image recognition while in orbit using a simple AI that identifies land use and vegetation distribution.

Utilizing the acquired topography data, assessments can also be conducted using a novel 3-axis attitude estimation method.

The star tracker and Earth sensor are installed on the Japan Aerospace Exploration Agency’s (JAXAouter) Epsilon-4 rocket, scheduled for launch on January 17, 2019 from the Uchinoura Space Center in Kagoshima Prefecture, Japan.

Tokyo Institute of Technology

https://www.titech.ac.jp/english/news/2019/043370.html