- Artificial Intelligence
- Computer Vision
- Deep Learning
- Artificial Neural Networks
- Machine Learning Algorithms
- Linear Algebra
- Image Analysis
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Methods
- Python Programming
Visual Perception for Self-Driving Cars
Completed by Suyash Jagadeesh Ail
July 29, 2020
31 hours (approximately)
Suyash Jagadeesh Ail'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
