Visual Perception for Self-Driving Cars
Completed by Mohammad Naeim Moradi
July 21, 2020
31 hours (approximately)
Mohammad Naeim Moradi'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: Convolutional Neural Networks
- Category: Robotics
- Category: Image Analysis
- Category: Computer Vision
- Category: Artificial Neural Networks
- Category: Model Training
- Category: Deep Learning
