- Python Programming
- Deep Learning
- Computer Vision
- Machine Learning Algorithms
- Artificial Neural Networks
- Linear Algebra
- Machine Learning Methods
- Artificial Intelligence
- Artificial Intelligence and Machine Learning (AI/ML)
- Image Analysis
Visual Perception for Self-Driving Cars
Completed by Vlad Cora
August 23, 2024
31 hours (approximately)
Vlad Cora's account is verified. Coursera certifies their successful completion of Visual Perception for Self-Driving Cars
What you will learn
Work with the pinhole camera model, and perform intrinsic and extrinsic camera calibration
Detect, describe and match image features and design your own convolutional neural networks
Apply these methods to visual odometry, object detection and tracking
Apply semantic segmentation for drivable surface estimation
Skills you will gain
