Algorithms

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Across
  1. 4. Converts planned paths into steering, throttle, and brake commands.
  2. 5. Calculates the safest and most efficient path to the destination.
  3. 6. Detects and tracks lane markings for lane keeping and centering.
  4. 7. Identifies pedestrians, vehicles, traffic signs, and other objects using camera data.
  5. 8. Combines data from cameras, LiDAR, radar, and GPS to improve perception accuracy.
  6. 10. Determines what the vehicle should do next.
Down
  1. 1. Classifies each pixel of an image to understand road layout, drivable space, and obstacles.
  2. 2. Predicts the future movement of surrounding vehicles and pedestrians.
  3. 3. Maps raw sensor input directly to driving actions — used in research and testing.
  4. 9. Builds a map of the environment while tracking the vehicle’s location within it.