Module 2: Computer Vision for Robotics

This module delves into the world of computer vision, exploring how we can enable robots to "see" and interpret their surroundings.

Key Topics

• Introduction to Computer Vision: Image formation, camera models, and image processing basics.
• Image Features and Filters: Edge detection, corner detection, and feature descriptors.
• Object Detection and Recognition: Using deep learning models (e.g., YOLO, R-CNN) to identify objects.
• Semantic Segmentation: Understanding an image at the pixel level.
• 3D Vision: Stereoscopy, and 3D reconstruction.
• Visual Odometry and SLAM: Simultaneous Localization and Mapping for robot navigation.