50 likes | 120 Views
A practical guide to learning visual perception for self-driving cars for computer vision and autonomous system engineersKey FeaturesExplore the building blocks of the visual perception system in self-driving carsIdentify objects and lanes to define the boundary of driving surfaces using open-source tools like OpenCV and PythonImprove the object detection and classification capabilities of systems with the help of neural networksBook DescriptionThe visual perception capabilities of a self-driving car are powered by computer vision. The work relating to self-driving cars can be broadly classifi
E N D
Hands-On Vision and Behavior for Self-Driving Cars: Explore visual perception, lane detection, and object classification with Python 3 and OpenCV 4 READ MORE DETAIL..
Ultimate Step by Step Guide to Deep Learning Using Python: Artificial Intelligence and Neural Network Concepts Explained in Simple Terms (Ultimate Step by Step Guide to Machine Learning Book 2) READ MORE DETAIL..
Listed Volatility and Variance Derivatives: A Python-based Guide (Wiley Finance) READ MORE DETAIL..
Python from the Very Beginning: With 100 exercises and answers READ MORE DETAIL..