Cuestionario vinculado a una guía · Medio Nivel

Prueba de IA en el espacio y los satélites

Explore la autonomía a bordo de rovers y satélites, incluida la orientación científica, el procesamiento de imágenes, la planificación de rutas y los límites de comunicación.

Rutas de guía relacionadasIA en el espacio y satélites
Pregunta 1 de 8

Why can Mars rover commands not be controlled like a real-time joystick?

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Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

  1. Why can Mars rover commands not be controlled like a real-time joystick?
    • Radio signal travel takes minutes each way and the delay varies with Earth–Mars distance
    • Mars has no radio relay hardware
    • The rover has no onboard computer
    • The rover communicates only through visible light
  2. What does ESA’s Φsat-2 onboard cloud-detection application do with obscured Earth images?
    • It reconstructs all missing ground pixels with certainty
    • It filters images obscured by clouds so clearer images can be prioritized for downlink
    • It routes images to a Mars rover
    • It turns every image into a weather forecast
  3. What is the purpose of SpaceX Starlink’s autonomous collision-avoidance system discussed in the FCC order?
    • To classify galaxies from telescope images
    • To select SuperCam science targets on Mars
    • To maneuver satellites in response to conjunction risks with other space objects
    • To filter clouds from Earth-observation images
  4. How does NASA define the goal of avionics radiation-hardness assurance?
    • Guaranteeing software contains no bugs
    • Removing the need to test hardware in radiation environments
    • Increasing radio signal speed between Earth and Mars
    • Ensuring space-system electronics meet design specifications after radiation exposure
  5. What does NASA’s LSTM-based spacecraft software catalog entry identify as its purpose?
    • Detecting anomalies in spacecraft telemetry with machine-learning methods
    • Generating satellite images from text prompts
    • Choosing water-treatment chemical doses
    • Predicting wildlife species from camera-trap images
  6. Which astronomy task does NASA’s supervised-learning example apply to TESS observations?
    • Scheduling drinking-water pumps
    • Classifying transiting exoplanet candidates
    • Detecting gunshots in forest recordings
    • Predicting tax return accuracy
  7. What science target can NASA’s AEGIS system select autonomously for a rover instrument?
    • A future Starlink collision maneuver
    • A water-demand forecast for a city
    • A target for a remote-sensing instrument such as Perseverance’s SuperCam
    • A crop-weed label for an Earth farm
  8. What does Perseverance’s AutoNav system do when planning a drive?
    • Controls the rover continuously from Earth in real time
    • Selects tax records for anomaly audits
    • Filters every cloud from Earth-observation images
    • Builds a 3D terrain map, identifies hazards and plans a route around obstacles