Tag: Autonomous

Free Download Intelligent Autonomous Systems 18: Volume 2
English | 2024 | ISBN: 3031449800 | 479 Pages | PDF EPUB (True) | 116 MB
Intelligent autonomous systems are increasingly being applied in various fields, ranging from industrial applications to professional services and household domains. These advancements in technology and application domains have brought forth the need for continuous research and development to address new challenges in deploying intelligent autonomous systems in a reliable and user-independent manner

Free Download OCI Autonomous Database Serverless with Terraform
Published 4/2024
Created by Martin Linxfeld
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 11 Lectures ( 2h 10m ) | Size: 1.23 GB

Free Download OCI Autonomous Database Serverless with Terraform
Published 4/2024
Created by Martin Linxfeld
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 11 Lectures ( 2h 10m ) | Size: 1.23 GB

Free Download Sensors Simulation for Autonomous Systems
Published 2/2024
Created by SimXai Simulation Academy
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 17 Lectures ( 46m ) | Size: 647 MB

Free Download Intelligent and Autonomous: Transforming Values in the Face of Technology
by Ignas Kalpokas and Julija Kalpokiene
English | 2023 | ISBN: 9004547223 | 201 Pages | True PDF | 19 MB

Free Download Distributed Autonomous Robotic Systems
English | 2024 | ISBN: 3031514963 | 564 Pages | PDF EPUB (True) | 163 MB
The contributions are covering a broad scope of topics within distributed robotics including mobile sensor networks, unmanned aerial vehicles, multi-agent systems, algorithms for multi-robot systems, modular robots, swarm robotics, and reinforcement learning or deep learning applied to multi-robot systems.

Free Download Autonomous driving algorithms and Its IC Design by Jianfeng Ren, Dong Xia
English | August 10, 2023 | ISBN: 9819928966 | 315 pages | MOBI | 7.51 Mb
With the rapid development of artificial intelligence and the emergence of various new sensors, autonomous driving has grown in popularity in recent years. The implementation of autonomous driving requires new sources of sensory data, such as cameras, radars, and lidars, and the algorithm processing requires a high degree of parallel computing. In this regard, traditional CPUs have insufficient computing power, while DSPs are good at image processing but lack sufficient performance for deep learning. Although GPUs are good at training, they are too "power-hungry," which can affect vehicle performance. Therefore, this book looks to the future, arguing that custom ASICs are bound to become mainstream. With the goal of ICs design for autonomous driving, this book discusses the theory and engineering practice of designing future-oriented autonomous driving SoC chips.

Free Download Nick Lambert, "Technology and the Blue Economy: From Autonomous Shipping to Big Data"
English | ISBN: 0749483954 | 2019 | 288 pages | EPUB, PDF | 2 MB + 13 MB
70 per cent of the planet is covered by water, and 90 per cent of global economic trade is transported by sea. The world’s seas and oceans are big business. Based on gross marine product, the ocean can be considered the world’s seventh-largest economy, with the total global value of the Blue Economy predicted to rise to $3 trillion by 2030.

Free Download Nick Lambert, "Technology and the Blue Economy: From Autonomous Shipping to Big Data"
English | ISBN: 0749483954 | 2019 | 288 pages | EPUB, PDF | 2 MB + 13 MB
70 per cent of the planet is covered by water, and 90 per cent of global economic trade is transported by sea. The world’s seas and oceans are big business. Based on gross marine product, the ocean can be considered the world’s seventh-largest economy, with the total global value of the Blue Economy predicted to rise to $3 trillion by 2030.

Free Download Ship Sensors: Conventional, Unmanned and Autonomous
English | 2024 | ISBN: 1032456213 | 267 Pages | PDF (True) | 26 MB
When combined with artificial intelligence, advanced computing architectures and enhanced communications, sensor technologies can monitor vessel performance and the adjacent environment to detect conditions that may hinder voyage completion. This book provides insight into the present and future of sensor architectures and configurations that can enhance vessel performance and further improve the safety of navigation. It covers topics such as traditional and expanded sensor functions in engineering and navigation, as well as new sensor capabilities that can provide greater insight into vessel behavior and performance and enhance awareness of passenger, crew and other human activities. Chapters offer background information on typical legacy vessel sensor configurations and current International Maritime Organization (IMO) requirements for onboard sensors and future regulatory trends before discussing modern sensors and current- generation "smart" sensors that provide enhanced situational awareness to watchstanders. A vision of next- generation sensors currently being investigated for shipboard use is provided along with long- term trends in quantum sensing and computing that promise radical change across a wide variety of vessel functions. Insight is also given into cybersecurity factors so essential to all sensor systems. Ship Sensors: Conventional, Unmanned and Autonomous is ideal for professional seafarers, maritime academics and university students, and developers of maritime sensors and systems.