Lectures/Presentations

- Intro (levels of autonomous cars), Lidar, Camera, Haar, LBP, HOG, SIFT/SURF, LeNet

- Convolution networks, LeNet, AlexNet, ResNet, RCNN, YOLO

Exercises

1. Python, OpenCV, Template Matching
  • TASK: Experiments with different TM methods
2. Cascade Classifier
  • TASK: Experiments with different cascadade classifiers, combination of profile and frontal face classifiers + eye classifier
3. Train Custom Cascade Classifier 4. Train Custom HOG Detector (Dlib) 5. Object Detection/Recognition using CNN/R-CNN (using previous data)
6. Licence Plate Detection/Recognition (using previous data)