menu
{ "item_title" : "Automotive AI Integration", "item_author" : [" Chatvariety Team "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/818/077/9798180774019_b.jpg", "price_data" : { "retail_price" : "9.99", "online_price" : "9.99", "our_price" : "9.99", "club_price" : "9.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Automotive AI Integration|Chatvariety Team

Automotive AI Integration : On-Board Machine Learning for ADAS Sensor Fusion, Predictive Systems, and In-Vehicle Intelligence

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Master the Art of Production-Ready Vehicle Intelligence

As 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 Non-Returnable

Details

  • ISBN-13: 9798180774019
  • ISBN-10: 9798180774019
  • Publisher: Independently Published
  • Publish Date: June 2026
  • Dimensions: 9 x 6 x 0.19 inches
  • Shipping Weight: 0.3 pounds
  • Page Count: 92

Related Categories

You May Also Like...

    1

BAM Customer Reviews