Авторы
Jayakumar V (1), Mirvari A (2)
Организации
(1) Valles Marineris International Private Limited (Aerospace Company),India
(2) Sapienza University of Rome
(2) Sapienza University of Rome
Сессия
Космическое приборостроение и эксперимент
Форма представления
Устный
Научный руководитель
Jayakumar Venkatesan
Место работы научного руководителя
Valles Marineris International Private Limited (Aerospace Company), India
Текст тезисов
A CubeSat is a particular type of miniature satellite that is often constructed from small, standardized cubes that are each 10 cm x 10 cm x 10 cm in size. CubeSats are low-cost, modular, and easily deployable, these making them an attractive option for a wide range of space missions, from scientific research to technology demonstrations.
Vision-based navigation for CubeSats involves using cameras and computer vision algorithms to determine the satellite's position and orientation in space. Most navigation systems in the past have used GPS and INS, however there is a problem with the availability of GPS in space, which is quite limited. In order to guide satellites, we need to make use of new methods. Vision-based navigation can be used to supplement or replace traditional navigation methods like GPS, especially for missions that require the CubeSat to operate in environments where GPS signals are not available or reliable. The camera images captured by the CubeSat are processed to extract features such as stars, planets, or other landmarks, and algorithms are used to determine the CubeSat's position based on the relative position of these features. This type of mission we need to use space processors, but since space processors are frequently constrained by characteristics including processing speed, memory capacity, and power consumption, increasing their work efficiency is a crucial challenge in space missions. The use of parallel processing, effective memory management, and radiation-hardened design are some of the methods that can be used to increase the work efficiency of space processors. These methods can be used to increase the strength, dependability, and efficiency of space processors, allowing them to handle challenging jobs during space missions.
Vision-based navigation for CubeSats involves using cameras and computer vision algorithms to determine the satellite's position and orientation in space. Most navigation systems in the past have used GPS and INS, however there is a problem with the availability of GPS in space, which is quite limited. In order to guide satellites, we need to make use of new methods. Vision-based navigation can be used to supplement or replace traditional navigation methods like GPS, especially for missions that require the CubeSat to operate in environments where GPS signals are not available or reliable. The camera images captured by the CubeSat are processed to extract features such as stars, planets, or other landmarks, and algorithms are used to determine the CubeSat's position based on the relative position of these features. This type of mission we need to use space processors, but since space processors are frequently constrained by characteristics including processing speed, memory capacity, and power consumption, increasing their work efficiency is a crucial challenge in space missions. The use of parallel processing, effective memory management, and radiation-hardened design are some of the methods that can be used to increase the work efficiency of space processors. These methods can be used to increase the strength, dependability, and efficiency of space processors, allowing them to handle challenging jobs during space missions.