Wiley mär 2027 (2 resultados)

Buch. Condición: Neu. Neuware - Navigate autonomous vehicle technology, business, and regulatory frameworks together Autonomous driving development demands more than clever algorithms. Autonomous Driving: Technology, Business, and Regulation treats autonomy as a systems problem. It links sensing, algorithms, hardware/software platforms, data, vehicle value chains, market structure, commercialization, batteries, safety standards, and legal frameworks. Written by authors from academia and industry, the book gives readers a holistic view of how autonomous-driving systems are built, deployed, financed, and governed. Coverage spans multiple technical topics in autonomous driving, including: localization, perception, prediction, motion planning, end-to-end learning, V2X communication, automotive operating systems and chips, data management, and cloud-based development workflows, etc. The book also examines regional market models and their legal frameworks, value-chain shifts across suppliers and platforms, business models, deployment verticals, EV batteries, the safety frameworks that shape real-world autonomy. Each topic is treated through the book's central theme: managing uncertainty across technology, business, and regulation. Readers will also find: - Detailed treatment of cooperative autonomous driving algorithms and platforms, and their role in future smart mobility infrastructure and transportation coordination- Analysis of vehicle hardware and software platforms, including E/E architecture, domain controllers, SoCs, AUTOSAR, QNX, middleware, and vehicle-cloud workflows- Examination of investment strategies, value chain, and competitive dynamics shaping the commercial landscape of the autonomous vehicle industry- Analysis of legal frameworks governing autonomous vehicle and its operation across multiple international jurisdictions- Domain-expert perspectives giving readers a concise practitioner view in the industry- Integration of academic research findings with practical engineering and deployment challenges faced by industry practitioners Industry professionals, graduate students, researchers, investors, and policymakers seeking a clear map of autonomous driving will find this book connects technical depth with the business and regulatory constraints that shape deployment. It equips readers to understand the field as a working ecosystem, not as a single breakthrough technology. …

Buch. Condición: Neu. Neuware - Unlock the future of human-computer interaction with this comprehensive guide that seamlessly bridges the gap between neuroscience and practical implementation, delivering a unified, multi-modality framework to build and deploy the next generation of thought-controlled technology. What if the most powerful interface you will ever use requires no keyboard, no screen, no voice, just thought Brain-computer interfaces are making this a reality, and brainwave-to-machine commands are the comprehensive technical roadmaps to understanding, building, and deploying them. These innovative technologies provide previously unheard-of opportunities for control, rehabilitation, and communication by bridging the gap between the human brain and external equipment. This book presents the fundamentals of neuroscience that make brain-computer interfaces possible, covering the electrical language of neurons, the recording modalities that capture it, and the preprocessing pipelines that transform raw brainwaves into analysis-ready data. From that foundation, it builds systematically through classical machine learning algorithms, convolutional neural networks for spatial EEG pattern recognition, and long short-term memory-based recurrent architectures for decoding the temporal dynamics of brain activity, always anchored to real implementation, not just theory. Dedicated chapters and case studies address neurorehabilitation for stroke and spinal cord injury recovery, early detection of dementia, and the convergence of brain-computer interfaces with augmented and virtual reality. Competing titles either restrict themselves to a single modality or a single technique; This book refuses that narrowness, delivering a unified framework that moves from algorithm design to sustainable hardware deployment. This essential guide is both a rigorous graduate-level text and an enduring reference for the researchers, engineers, and clinicians who will shape the future of human-computer interaction.…