Isbn: 9798180774019 - automotive ai integration: on-board machine learning for adas sensor fusion, predictive systems, and in-vehicle intelligence (software-defined vehicle engineering series) (4 resultados)

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  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798180774019

    Serie: Libro 6 de 9 - Software-Defined Vehicle Engineering Series

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    EUR 14,16

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    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: CreateSpace Independent Publishing Platform, 2026

    9798180774019

    Serie: Libro 6 de 9 - Software-Defined Vehicle Engineering Series

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    EUR 13,44

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798180774019

    Serie: Libro 6 de 9 - Software-Defined Vehicle Engineering Series

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    EUR 13,46

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    Cantidad disponible: Más de 20 disponibles

    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798180774019

    Serie: Libro 6 de 9 - Software-Defined Vehicle Engineering Series

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    • Impresión bajo demanda

    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    EUR 16,77

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    Paperback. Condición: new. Paperback. Master the Art of Production-Ready Vehicle IntelligenceAs automotive engineering transitions to software-defined architectures, integrating reliable, high-performance machine learning is the ultimate competitive advantage. Automotive AI Integration is the definitive engineering guide to deploying robust on-board ML models inside production vehicles.Written specifically for automotive embedded engineers, ADAS developers, and AI researchers, this comprehensive manual bridges the gap between theoretical deep learning and real-world physical deployment. Learn how to navigate the complex trade-offs of performance, safety, and hardware constraints using industry-standard frameworks.Inside this masterclass, you will discover: Silicon-Level Optimization: Master neural network inference on leading SoCs like NVIDIA DRIVE Orin, Qualcomm Snapdragon Ride, and Mobileye EyeQ Ultra.Advanced Model Compression: Implement model quantization (INT8/FP8), pruning, and TensorRT compilation to fit large models into tight automotive resource budgets.Safety & Standards: Design MISRA C++ compliant machine learning pipelines and build robust ISO 26262 safety cases up to ASIL-D.Sensor Fusion Architectures: Combine camera Bird's-Eye-View (BEV), radar point clouds, and LiDAR data inside modern deep neural networks.AUTOSAR & OTA Integration: Deploy models as AUTOSAR Adaptive software components and architect secure, failsafe over-the-air (OTA) update pipelines.Next-Gen Cockpit Intelligence: Build highly responsive Driver Monitoring Systems (DMS) and deploy local, low-latency LLM voice assistants on-edge.Whether you are developing Level 2+ ADAS features or architecting Level 4 autonomous systems, this book provides the production-validated patterns, testing paradigms, and validation frameworks you need to write safe, efficient, and regulatory-compliant automotive software. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.