Visual Perception for Self-Driving Cars
Completed by Marcus Homelius
December 14, 2021
31 hours (approximately)
Marcus Homelius'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: Convolutional Neural Networks
- Category: Model Evaluation
- Category: Image Analysis
- Category: Robotics
- Category: Artificial Neural Networks
- Category: Computer Vision
- Category: Model Training
- Category: Deep Learning