Learning Applied to Ground Vehicles

· Computer Vision 84권 · One Billion Knowledgeable
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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.

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