Autonomous driving paper index
Quality Management in Engineering
One-line summary
An autonomous driving research paper: Quality Management in Engineering.
Engineering notes
Key topics: autonomous driving, deployment. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Quality Management in Engineering: A Scientific Processes and Systematic Approach for the Automotive Industry, Second Edition, builds upon the first edition’s strong foundation in quality management while addressing two critical industry advancements: supplier quality management and perceived quality frameworks. It offers a comprehensive exploration of methodologies designed to meet modern challenges, ensuring both functional excellence and aesthetic appeal in product development. Enhanced with automotive case studies featuring electric vehicle and autonomous driving technologies, this edition provides practical, science‑based approaches for implementing robust quality systems throughout the product lifecycle. This new edition includes expanded coverage of supplier quality management, reflecting the evolution of suppliers from parts producers to design, software, and assembly partners. Case studies involving EV battery manufacturers and autonomous driving technologies illustrate these advancements. Additionally, this book introduces a science‑based perceived quality (PQ) framework, addressing customers’ growing expectations for products that combine reliability, functionality, and aesthetic appeal. This framework includes methodologies for design analysis, prototype evaluation, and craftsmanship, supported by visual examples from global automotive models. Written for engineering professionals, quality managers, and academics, the new edition is tailored to meet the needs of both original equipment manufacturers and suppliers. Industry practitioners will benefit from practical tools such as quality function deployment and fault tree analysis, while academics will find real‑world applications of theoretical principles. Whether you’re working in the automotive industry or studying its best practices, this edition provides invaluable insights into modern quality management.
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