- Computer Vision
- Deep Learning
- Artificial Intelligence
- Artificial Neural Networks
- Linear Algebra
- Machine Learning Methods
- Machine Learning Algorithms
- Artificial Intelligence and Machine Learning (AI/ML)
- Python Programming
- Image Analysis
Visual Perception for Self-Driving Cars
Completed by Thomas Steinle
November 16, 2020
31 hours (approximately)
Thomas Steinle'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
