| 000 -LEADER |
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| fixed length control field |
04163cam a2200385 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
jomaaum |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250922092026.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION |
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| fixed length control field |
m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
221103s2022 xx o 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781484268025 |
| 024 7# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
10.1007/978-1-4842-6803-2 |
| Source of number or code |
doi |
| 041 ## - Language |
|---|
| Language code of text/sound track or separate title |
eng |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
TJ211.495 |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
UB |
| Source |
bicssc |
|
|---|
| Subject category code |
COM067000 |
| Source |
bisacsh |
|
|---|
| Subject category code |
UBM |
| Source |
thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
629.892 |
| Edition number |
23 |
| Item number |
B658 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Blubaugh, David Allen |
| 9 (RLIN) |
46837 |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Intelligent autonomous drones with cognitive deep learning : |
| Remainder of title |
build AI-enabled land drones with the Raspberry Pi 4 / |
| Statement of responsibility, etc |
David Allen Blubaugh, ... [et al] |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
[s.l.] : |
| Name of publisher, distributor, etc |
Apress L.P. , |
| Date of publication, distribution, etc |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 511 p. ; |
| Dimensions |
24 cm. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Chapter 1. Rover Platform Overview. -Chapter 2. AI Rover System Design and Analysis -- Chapter 3. Installing Linux and Development Tools -- Chapter 4. Building a Simple Virtual Rover -- Chapter 5. Adding Sensors to Our Simulation -- Chapter 6. Sense and Avoidance -- Chapter 7. Navigation, SLAM, and Goals -- Chapter 8. OpenCV and Perception -- Chapter 9. Reinforced Learning -- Chapter 10. Subsumption Cognitive Architecture -- Chapter 11. Geospatial Guidance for AI Rover -- Chapter 12. Noetic ROS Further Examined and Explained -- Chapter 13. Further Considerations -- Appendix A: Bayesian Deep Learning -- Appendix B: Open AI Gym -- Appendix: Introduction to the Future of AI-ML Research |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
What is an artificial intelligence (AI)-enabled drone and what can it do? Are AI-enabled drones better than human-controlled drones? This book will answer these questions and more, and empower you to develop your own AI-enabled drone. You'll progress from a list of specifications and requirements, in small and iterative steps, which will then lead to the development of Unified Modeling Language (UML) diagrams based in part to the standards established by for the Robotic Operating System (ROS). The ROS architecture has been used to develop land-based drones. This will serve as a reference model for the software architecture of unmanned systems. Using this approach you'l be able to develop a fully autonomous drone that incorporates object-oriented design and cognitive deep learning systems that adapts to multiple simulation environments. These multiple simulation environments will also allow you to further build public trust in the safety of artificial intelligence within drones and small UAS. Ultimately, you'll be able to build a complex system using the standards developed, and create other intelligent systems of similar complexity and capability. Intelligent Autonomous Drones with Cognitive Deep Learning uniquely addresses both deep learning and cognitive deep learning for developing near autonomous drones. What You'll Learn Examine the necessary specifications and requirements for AI enabled drones for near-real time and near fully autonomous drones Look at software and hardware requirements Understand unified modeling language (UML) and real-time UML for design Study deep learning neural networks for pattern recognition Review geo-spatial Information for the development of detailed mission planning within these hostile environments Who This Book Is For Primarily for engineers, computer science graduate students, or even a skilled hobbyist. The target readers have the willingness to learn and extend the topic of intelligent autonomous drones. They should have a willingness to explore exciting engineering projects that are limited only by their imagination. As far as the technical requirements are concerned, they must have an intermediate understanding of object-oriented programming and design |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Autonomous robots. |
| 9 (RLIN) |
4374 |
|
|---|
| Topical term or geographic name as entry element |
Drone aircraft. |
|
|---|
| Topical term or geographic name as entry element |
Mobile robots |
| General subdivision |
Automatic control. |
| 9 (RLIN) |
46838 |
|
|---|
| Topical term or geographic name as entry element |
Artificial intelligence. |
|
|---|
| Topical term or geographic name as entry element |
Raspberry Pi (Computer) |
| 9 (RLIN) |
46839 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Harbour, Steven D |
| 9 (RLIN) |
46840 |
|
|---|
| Personal name |
Sears, Benjamin. |
| 9 (RLIN) |
46841 |
|
|---|
| Personal name |
Findler, Michael J |
| 9 (RLIN) |
46842 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Print version: |
| International Standard Book Number |
1484268024 |
| -- |
9781484268025 |
| Record control number |
(OCoLC)1223067618 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Book |
