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3 books on AI for Drones [PDF]
March 07, 2025 | 22 |
These books are dedicated to drone AI software development, navigation systems and sensor integration. By studying these books, startup specialists can better understand how AI can optimize flight paths, enable advanced data analysis and improve the efficiency and safety of various applications, from agriculture and infrastructure inspection to search and rescue missions.
1. Computer Vision and Edge Computing Technologies for the Drone Industry
2025 by Ali Shah, Imdad, Jhanjhi, Noor Zaman
The book consists of a series of research papers by indian and indonesian experts. For me it was interesting to find out about the SLAM technlogy - Simultaneous Localization and Mapping that enables drone to map an area (with the help of computer vision) in real-time to know where it is. SLAM is an aggregate process including various methods including feature detection, estimation of depth and closure in loops. Feature detection is employed to detect unique aspects in an area, e.g., edges around items or unique patterns. Estimation of depth is implemented through stereo cams or LiDAR and helps the drone to detect range. Loop closure is employed to recover errors by recognizing locations visited earlier to have better accuracy over time. The main challenge is SLAM processing speed. A drone has to process visual data in time to avoid delays that can lead to collisions. Developments in machine learning and Edge computing have improved SLAM performance to be faster and better.
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2. Drone Technology: Future Trends and Practical Applications
2023 by Sachi Nandan Mohanty, J. V. R. Ravindra, G. Surya Narayana, Chinmaya Ranjan Pattnaik, Y. Mohamed Sirajudeen
This book offers a comprehensive look at the revolutionary world of unmanned aerial vehicles (UAVs). It covers practical drone use cases from intelligent surveillance to drowning rescue, theft detection, precision farming, healthcare emergency delivery, mine and illegal migration detection and military applications. Several chapters cover revolutionary drone research, IoT applications, AI-based intelligent surveillance systems. It also contains cutting-edge work on cybersecurity using AI and recurrent neural networks for drone attack detection. Other chapters cover ML systems for building drone autopilot. The author says that with the advancement of deep learning and modern hardware and software, AI technologies have made huge strides in increasing drone autonomy. They process GPS, lidar and computer vision data for autonomous navigation, although such systems are still expensive and not a widely accepted.
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3. The Drone Wars: Pioneers, Killing Machines, Artificial Intelligence, and the Battle for the Future
2021 by Seth J. Frantzman
This book contains a chapter called "Drones and Artificial Intelligence: The Doomsday Scenario". The author’s thesis is that future wars will be built around drones, rather than treating them as additional or auxiliary weapons. The potential role of AI and drone autonomy is described in terms of possible clashes between operators of large “drones,” but without much discussion of the practical aspects of such operation. It is clear that the author’s personal experience with ISIS UAVs was an important factor in his motivation to write this book. It is particularly vivid in its coverage of the tactical use of small UAVs in the Middle East. The technical aspects are covered rather superficially, but for the most part fit well into the broader context of Middle Eastern geopolitics. Unfortunately, this book does not provide a more holistic picture of drone AI developments. Technical errors and the lack of important details make many of the descriptions of high-end UAV and their development in the US, Europe and China incomplete at best and misleading at worst.
Download PDF
How to download PDF:
1. Install Gooreader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Computer Vision and Edge Computing Technologies for the Drone Industry
2025 by Ali Shah, Imdad, Jhanjhi, Noor Zaman
The book consists of a series of research papers by indian and indonesian experts. For me it was interesting to find out about the SLAM technlogy - Simultaneous Localization and Mapping that enables drone to map an area (with the help of computer vision) in real-time to know where it is. SLAM is an aggregate process including various methods including feature detection, estimation of depth and closure in loops. Feature detection is employed to detect unique aspects in an area, e.g., edges around items or unique patterns. Estimation of depth is implemented through stereo cams or LiDAR and helps the drone to detect range. Loop closure is employed to recover errors by recognizing locations visited earlier to have better accuracy over time. The main challenge is SLAM processing speed. A drone has to process visual data in time to avoid delays that can lead to collisions. Developments in machine learning and Edge computing have improved SLAM performance to be faster and better.
Download PDF
2. Drone Technology: Future Trends and Practical Applications
2023 by Sachi Nandan Mohanty, J. V. R. Ravindra, G. Surya Narayana, Chinmaya Ranjan Pattnaik, Y. Mohamed Sirajudeen
This book offers a comprehensive look at the revolutionary world of unmanned aerial vehicles (UAVs). It covers practical drone use cases from intelligent surveillance to drowning rescue, theft detection, precision farming, healthcare emergency delivery, mine and illegal migration detection and military applications. Several chapters cover revolutionary drone research, IoT applications, AI-based intelligent surveillance systems. It also contains cutting-edge work on cybersecurity using AI and recurrent neural networks for drone attack detection. Other chapters cover ML systems for building drone autopilot. The author says that with the advancement of deep learning and modern hardware and software, AI technologies have made huge strides in increasing drone autonomy. They process GPS, lidar and computer vision data for autonomous navigation, although such systems are still expensive and not a widely accepted.
Download PDF
3. The Drone Wars: Pioneers, Killing Machines, Artificial Intelligence, and the Battle for the Future
2021 by Seth J. Frantzman
This book contains a chapter called "Drones and Artificial Intelligence: The Doomsday Scenario". The author’s thesis is that future wars will be built around drones, rather than treating them as additional or auxiliary weapons. The potential role of AI and drone autonomy is described in terms of possible clashes between operators of large “drones,” but without much discussion of the practical aspects of such operation. It is clear that the author’s personal experience with ISIS UAVs was an important factor in his motivation to write this book. It is particularly vivid in its coverage of the tactical use of small UAVs in the Middle East. The technical aspects are covered rather superficially, but for the most part fit well into the broader context of Middle Eastern geopolitics. Unfortunately, this book does not provide a more holistic picture of drone AI developments. Technical errors and the lack of important details make many of the descriptions of high-end UAV and their development in the US, Europe and China incomplete at best and misleading at worst.
Download PDF
How to download PDF:
1. Install Gooreader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
