Visual Perception for Self-Driving Cars
Completed by Jonathan Schaust
May 29, 2019
31 hours (approximately)
Jonathan Schaust'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
- Category: Linear Algebra
- Category: Model Training
- Category: Computer Vision
- Category: Convolutional Neural Networks
- Category: Machine Learning Algorithms
- Category: Robotics
- Category: Deep Learning
- Category: Model Evaluation
- Category: Image Analysis
