Learning Applied to Ground Vehicles - Enhancing Ground Vehicle Performance through Computer Vision Learning
Fouad Sabry
Casa editrice: One Billion Knowledgeable
Sinossi
What is Learning Applied to Ground Vehicles The Learning Applied to Ground Vehicles (LAGR) initiative, which was in operation from 2004 until 2008, was designed with the intention of expediting the development of autonomous, perception-based, off-road navigation in robotic unmanned ground vehicles (UGVs). DARPA, which is a research agency under the Department of Defense of the United States of America, provided funding for LAGR. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: DARPA LAGR Program Chapter 2: DARPA Chapter 3: Autonomous robot Chapter 4: Military robot Chapter 5: DARPA Grand Challenge Chapter 6: Unmanned ground vehicle Chapter 7: European Land-Robot Trial Chapter 8: Mobile robot Chapter 9: Crusher (robot) Chapter 10: National Robotics Engineering Center (II) Answering the public top questions about learning applied to ground vehicles. (III) Real world examples for the usage of learning applied to ground vehicles in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Learning Applied to Ground Vehicles.
