Visual Perception for Self-Driving Cars
Completed by Min-Hsueh Cheng
May 19, 2021
31 hours (approximately)
Min-Hsueh Cheng'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: Machine Learning Algorithms
- Category: Image Analysis
- Category: Model Evaluation
- Category: Robotics
- Category: Computer Vision
- Category: Linear Algebra
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Model Training
