Visual Perception for Self-Driving Cars
Completed by Patrick Jiaqian Lu
March 23, 2026
31 hours (approximately)
Patrick Jiaqian Lu'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 Training
- Category: Deep Learning
- Category: Linear Algebra
- Category: Computer Vision
- Category: Robotics
- Category: Machine Learning Algorithms
- Category: Model Evaluation
- Category: Image Analysis
- Category: Convolutional Neural Networks
