How OSIRIS-REx will Steer Itself to Sample an Asteroid

The video tutorial discusses the mission to collect samples from the asteroid Bennu, highlighting the challenges faced with Venus's rocky surface and the development of Natural Feature Tracking (NFT) as a solution. It explains the process of creating 3D maps using images from Bennu, the accuracy requirements for the mission, and the potential hazards that could damage the spacecraft. The tutorial also covers the autonomous nature of NFT and how it helps in adjusting the spacecraft's trajectory to ensure successful sample collection.

What was the main reason for developing the natural feature tracking (NFT) approach?

• To overcome challenges posed by Venus's rocky surface

• To improve the spacecraft's speed

• To increase the sample size

• To reduce the mission's cost

How are the 3D maps of Bennu's surface created?

• By manual drawing

• Through satellite data

• Using a single high-resolution image

• By combining images from various distances

What is the similarity between NFT and human vision?

• Both use a single lens

• Both are affected by light intensity

• Both rely on color perception

• Both require multiple features for depth perception

What is the improved accuracy requirement for the mission?

• 10 meters

• 20 meters

• 5 meters

• 50 meters

What is the purpose of the flight software patch being developed?

• To improve image quality

• To avoid hazards during the sample collection

• To enhance communication with Earth

• To increase the spacecraft's speed