Visual Perception for Self-Driving Cars
Completed by Máté Kovács-Nagy
December 1, 2019
31 hours (approximately)
Máté Kovács-Nagy'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: Model Evaluation
- Category: Linear Algebra
- Category: Deep Learning
- Category: Image Analysis
- Category: Robotics
- Category: Model Training
- Category: Computer Vision
- Category: Machine Learning Algorithms
- Category: Convolutional Neural Networks
