See the World
Cameras, LiDAR, point clouds, depth perception, and sensor fusion.
What You'll Learn
- Understand the pinhole camera model and image formation
- Explain how LiDAR works and interpret point cloud data
- Compare depth cameras, stereo cameras, and structured light sensors
- Apply basic object detection techniques to camera images
- Combine multiple sensor modalities using sensor fusion
Camera Basics
How cameras work — the pinhole model, image formation, resolution, field of view, and why distortion happens.
LiDAR and Point Clouds
How LiDAR works, the difference between 2D and 3D LiDAR, point cloud structure, and what range and intensity tell you.
Depth Perception
How robots measure depth — stereo vision, structured light, depth from LiDAR, and the trade-offs between different depth sensing methods.
Object Detection Basics
What object detection does, how bounding boxes work, what machine learning contributes, and practical tips for using detectors in robotics.
Sensor Fusion
Why combining sensors is essential, the difference between early and late fusion, how Kalman filters work, and practical sensor fusion examples.