- Image Analysis
- Convolutional Neural Networks
- Artificial Neural Networks
- Robotics
- Computer Vision
- Linear Algebra
- Deep Learning
- Machine Learning Algorithms
Visual Perception for Self-Driving Cars
Completed by Nirmal Jose
September 26, 2020
31 hours (approximately)
Nirmal Jose'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
