Advanced
AI/ML
Computer Vision
Image Processing and Machine Learning for AV
Dive deep into the world of AI-powered perception. This advanced course focuses on applying modern image processing and machine learning techniques to solve real-world autonomous driving challenges. Participants will learn everything from camera calibration and feature extraction to training and deploying deep learning models like YOLO for robust object detection (road signs, traffic lights).
Course Curriculum
- Fundamentals of Computer Vision
- Camera Calibration and Coordinate Transformation
- Advanced Image Processing: Hough Detection, Feature Extraction
- Machine Learning Model and Algorithm Types
- Deep Learning for AV: YOLOv5 Configuration and Training
- Practical Application: Road and Traffic Sign Detection
Course Information
Learning Outcomes
- Master computer vision fundamentals and camera calibration techniques.
- Implement various feature extraction and edge detection methods.
- Understand the workflow for training and evaluating machine learning models.
- Train and deploy a custom YOLO model for object detection.
- Apply skills to build a traffic sign and road sign detector.
Target Audience
Developers and engineers with a strong programming background and an interest in AI/ML applications for autonomous systems.
Prerequisites
Strong Python programming skills and a solid understanding of machine learning concepts. Prior experience with deep learning frameworks (e.g., PyTorch, TensorFlow) is beneficial.