Venturi / Korda Hands-On Vision and Behavior for Self-Driving Cars

Explore visual perception, lane detection, and object classification with Python 3 and OpenCV 4
1. Auflage 2020
ISBN: 978-1-80020-193-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 374 Seiten

No detailed description available for "Hands-On Vision and Behavior for Self-Driving Cars".

Autoren/Hrsg.

Venturi, Luca

Korda, Krishtof

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

Table of Contents - OpenCV Basics and Camera Calibration
- Understanding and Working with Signals
- Lane Detection
- Deep Learning with Neural Networks
- Deep Learning Workflow
- Improving Your Neural Network
- Detecting Pedestrians and Traffic Lights
- Behavioral Cloning
- Semantic Segmentation
- Steering, Throttle, and Brake Control
- Mapping Our Environments

Über Autor(innen)

Venturi Luca:

Luca Venturi has extensive experience as a programmer with world-class companies, including Ferrari and Opera Software. He has also worked for some start-ups, including Activetainment (maker of the world's first smart bike), Futurehome (a provider of smart home solutions), and CompanyBook (whose offerings apply artificial intelligence to sales). He worked on the Data Platform team at Tapad (Telenor Group), making petabytes of data accessible to the rest of the company, and is now the lead engineer of Piano Software's analytical database.Korda Krishtof:

Krishtof Korda grew up in a mountainside home over which the US Navy's Blue Angels flew during the Reno Air Races each year. A graduate from the University of Southern California and the USMC Officer Candidate School, he set the Marine Corps obstacle course record of 51 seconds. He took his love of aviation to the USAF, flying aboard the C-5M Super Galaxy as a flight test engineer for 5 years, and engineered installations of airborne experiments for the USAF Test Pilot School for 4 years. Later, he transitioned to designing sensor integrations for autonomous cars at Lyft Level 5. Now he works as an applications engineer for Ouster, integrating LIDAR sensors in the fields of robotics, AVs, drones, and mining, and loves racing Enduro mountain bikes.