Application of LLM in Vehicle Dynamics and Control Modeling, encompassing Human-Vehicle Interaction : A Thorough Reference for Researchers, Engineers, and Students (Studies in Systems, Decision and Control) / Aykent, Baris

ホーム
> 洋書
> ドイツ書
> Mathematics, Sciences & Technology
> Technology
> electronics, electrical engineering, telecommunications

Application of LLM in Vehicle Dynamics and Control Modeling, encompassing Human-Vehicle Interaction : A Thorough Reference for Researchers, Engineers, and Students (Studies in Systems, Decision and Control)

個数：

ポイントキャンペーン

Application of LLM in Vehicle Dynamics and Control Modeling, encompassing Human-Vehicle Interaction : A Thorough Reference for Researchers, Engineers, and Students (Studies in Systems, Decision and Control)

Aykent, Baris

ウェブストア価格 ¥41,985（本体¥38,169）
Springer, Berlin; Springer（2026/07発売）
外貨定価 EUR 149.79
【ウェブストア限定】サマー・ポイント5倍キャンペーン対象商品（～7/20）※店舗受取は対象外
ポイント 1,905pt

在庫がございません。海外の書籍取次会社を通じて出版社等からお取り寄せいたします。
通常6～9週間ほどで発送の見込みですが、商品によってはさらに時間がかかることもございます。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合がございます。
2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Hardcover:ハードカバー版
商品コード 9783032283993

Full Description

This book provides a forward-looking guide on how Large Language Models (LLMs) are transforming the field of vehicle dynamics and control. It offers a practical roadmap for engineers and researchers to leverage AI for designing, simulating, and optimizing vehicle systems. This book directly addresses the challenge of moving beyond traditional, time-consuming modeling techniques to embrace a more efficient, data-driven, and interactive approach.

Key Topics and Their Relevance

Foundation in Vehicle Dynamics: The book begins by establishing a strong foundation in vehicle dynamics, including the core principles of longitudinal, lateral, and vertical motion, as well as classic control systems like ABS and ESC. This is crucial for understanding the traditional context before exploring how LLMs can augment these processes.

LLMs in the Automotive Workflow: The readers will learn how to integrate LLMs into every stage of the development cycle, from data preprocessing and analysis to generating simulation code and dynamic scenarios. This is important because it shows how LLMs act as a powerful co-pilot, automating repetitive tasks and accelerating innovation.

Human-Vehicle Interaction (HVI): A dedicated section explores the cutting-edge use of LLMs to interpret driver state and intentions through technologies like eye and head tracking. This is highly relevant as it demonstrates how AI can lead to safer, more personalized, and intuitive driving experiences.

Real-World Implementation with MLOps: The book tackles the practicalities of deploying these advanced models on a vehicle's embedded systems. It covers critical topics such as model compression, edge computing, and MLOps workflows using Docker.

This book is for a target audience of professionals and students in automotive engineering, control systems, and data science who want to understand and implement the latest AI technologies to shape the future of smart vehicles.