- Robotics
- Artificial Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Computer Vision
- Image Analysis
- Linear Algebra
- Machine Learning Algorithms
Visual Perception for Self-Driving Cars
Completed by Carla Paloma Malo Nivón
June 18, 2020
31 hours (approximately)
Carla Paloma Malo Nivón'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
