Jetson Platform Development Guide
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Jetson Platform Development Guide
"Jetson Platform Development Guide" The "Jetson Platform Development Guide" is the definitive technical manual for harnessing the full potential of NVIDIA Jetson embedded systems. Addressed to engineers, developers, and system architects, this guide navigates the comprehensive range of Jetson modules—including Nano, TX, Xavier, and Orin—delving deeply into their hardware architectures, performance profiles, and integration strategies. From system-on-module design and expansion interfaces to advanced carrier board considerations and foundational platform security, the book offers thorough insight into creating robust, scalable Jetson-based solutions. Beyond hardware, the guide expertly covers the entire software stack: from deploying and customizing Linux for Tegra (L4T) and JetPack SDK to mastering containerized workloads and CI/CD pipelines tailored for edge AI development. Readers are equipped with advanced CUDA programming techniques, memory and data locality optimizations, and best practices for harnessing hardware-accelerated deep learning. Step-by-step methodologies for deploying AI models, leveraging TensorRT, managing precision tuning, and utilizing DLA cores spotlight how to accelerate inference workflows for demanding vision and perception applications. Further enriching its value, the book addresses low-level device access, real-time processing, and embedded connectivity, providing actionable guidance on driver development, synchronization, and networking. Security and reliability are prioritized through sections on secure boot, encryption, OTA updates, and compliance. Detailed chapters on diagnostics, profiling, power management, and system hardening empower readers to maximize performance and ensure robust deployment. Real-world case studies and future-looking insights round out this essential reference, positioning it as a cornerstone resource for professionals building the next generation of AI-powered edge systems.
NVIDIA TAO Toolkit and Deep Stream SDK: A Developer's Guide
This book equips you with the skills to build and deploy custom vision AI applications for real-time video analysis. Whether you're a developer, researcher, or enthusiast, you'll gain a comprehensive understanding of NVIDIA's powerful toolkit, from training models to real-world deployment. Part 1: Introduction to Vision AI and Deep Learning Lays the groundwork for computer vision and deep learning concepts. Explains how these technologies are used in real-world applications. Introduces NVIDIA TAO and DeepStream, your one-stop shop for vision AI development. Part 2: NVIDIA TAO Toolkit - Your Vision AI Training Companion Guides you through setting up and navigating the user-friendly TAO interface. Explains how to prepare your data for efficient model training. Covers techniques for leveraging pre-trained models and adding new classes. Dives into model training optimization and explores methods for reducing model size for deployment. Teaches you how to export your trained models for seamless integration with DeepStream. Part 3: NVIDIA DeepStream SDK - Unleashing Your Vision AI in Real-Time Unveils the core functionalities and architecture of DeepStream for real-time video analytics. Explains how DeepStream leverages GStreamer, a powerful framework, for efficient data processing. Provides step-by-step guidance on building real-time video analytics pipelines using DeepStream. Explores various DeepStream plugins for common tasks like decoding, inference, and displaying results. Demonstrates how to integrate your TAO models into DeepStream pipelines for real-world applications. Part 4: Deployment and Optimization - Taking Your DeepStream Applications to the Real World Explores different deployment options for your DeepStream applications, from edge devices to cloud servers. Provides optimization techniques to ensure your applications run smoothly and efficiently. Covers methods for improving inference speed and resource utilization. Explains how to profile and debug your DeepStream pipelines for optimal performance. By combining the power of TAO for model training with DeepStream for real-time deployment, you'll be equipped to build cutting-edge vision AI applications that analyze and understand the visual world around you. Get started today and unlock the potential of real-time video analytics!
Advances in Guidance, Navigation and Control
This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircrafts. It covers a wide range of topics, including but not limited to, intelligent computing communication and control; new methods of navigation, estimation, and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation, and control of miniature aircraft; and sensor systems for guidance, navigation and control, etc. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.