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Chapter 8: Computer Vision and Navigation

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Introduction to Computer Vision​

Computer vision enables robots to understand and interpret visual information from their environment, crucial for autonomous navigation and manipulation.

Image Processing Fundamentals​

Basic Operations​

  • Filtering and enhancement
  • Edge detection
  • Feature extraction

Camera Systems​

  • RGB cameras
  • Depth cameras (RGB-D)
  • Stereo vision

Object Detection and Recognition​

Classical Approaches​

  • SIFT and SURF features
  • HOG descriptors
  • Template matching

Deep Learning Methods​

  • YOLO (You Only Look Once)
  • R-CNN family
  • Single Shot Detectors (SSD)

Visual SLAM​

Simultaneous Localization and Mapping​

  • ORB-SLAM
  • Visual odometry
  • Loop closure detection
  • Path planning algorithms
  • Obstacle avoidance
  • Dynamic environments

Summary​

Computer vision provides robots with the ability to perceive and understand their surroundings, enabling safe and efficient navigation in complex environments.

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