NASA unveiled the crew on Monday for its first human mission to the Moon in more than 50 years –- including the first woman and Black man to participate in a lunar flight.

Three Americans and one Canadian will fly around the Moon next year, becoming the first astronauts to venture that deep into space since the historic Apollo missions ended in 1972.

The flight, dubbed Artemis II, is scheduled to take place in November 2024 and is a prelude to returning humans to the lunar surface for the first time in a half century.

The three NASA astronauts—Reid Wiseman, Victor Glover and Christina Koch—named to Artemis II have all spent time on the International Space Station (ISS) while Jeremy Hansen of the Canadian Space Agency will be making his first space flight.

The four astronauts, dressed in blue flight suits, were introduced by NASA administrator Bill Nelson at an event at the Johnson Space Center in Houston.

With continuous developments in the space industry, the space near the Earth is occupied by a variety of spacecraft whose number is increasing dramatically every year. To avoid a collision, huge computation power is necessary to determine the possibility of a collision between two space objects. However, there are various uncertainties in the collision prediction process, which aggravates the burdens on space safety management.

Since the collision probability is usually applied to evaluate a dangerously close encounter, improving the precision of orbit prediction and covariance prediction is key.

In a research paper recently published in Space: Science & Technology, Zhaokui Wang, from Tsinghua University, proposed an efficient method with a back propagation (BP) neural network to improve the accuracy of orbit prediction and position error covariance prediction of space targets.

Wang's team also applied the proposed method to estimate the collision probability for the Q-Sat and space debris with NORAD ID of 49863.