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{ "item_title" : "Precision Optomechanical Design for Autonomous Perception Sensors", "item_author" : [" Bharath Kumar Narahari "], "item_description" : "Autonomous perception sensors cameras, depth sensors, and LiDAR modules for ADAS (Advanced Driver-Assistance Systems) and self-driving vehicles require optical stability under extreme automotive environments for over 15-year lifecycles. However, currently there is no comprehensive professional reference for perception sensor systems. This book introduces the Zero-Shift design philosophy: a framework for achieving structural and optical invariance in autonomous perception sensors through material science, geometry, and thermodynamic equilibrium. Next, the book introduces Hardware Site Reliability Engineering (Hardware SRE) a novel framework applying software reliability engineering concepts (error budgets, service-level objectives, incident response) to physical optomechanical systems. This concept has not been previously published in engineering literature and represents a significant cross-domain contribution. Written for practicing engineers at automotive Tier 1/2 suppliers, the book spans the complete lifecycle from STOP simulation methodology through 6-DoF active alignment, adhesive cure optimization, statistical process control, and digital twin manufacturing. All methods are validated with empirical results demonstrating 88% reduction in environmentally induced focus shift in production 8MP ADAS camera modules. In addition, this book: Includes measurable results of validated methodologies and actual Practitioner's Notes in every chapter Provides complete lifecycle coverage from simulation through high-volume manufacturing (not design-only or theory-only) Introduces Hardware SRE, a novel concept of applying software reliability engineering to physical optomechanical systems ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/240/738/3032407389_b.jpg", "price_data" : { "retail_price" : "44.99", "online_price" : "44.99", "our_price" : "44.99", "club_price" : "44.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Precision Optomechanical Design for Autonomous Perception Sensors|Bharath Kumar Narahari

Precision Optomechanical Design for Autonomous Perception Sensors

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Overview

Autonomous perception sensors cameras, depth sensors, and LiDAR modules for ADAS (Advanced Driver-Assistance Systems) and self-driving vehicles require optical stability under extreme automotive environments for over 15-year lifecycles. However, currently there is no comprehensive professional reference for perception sensor systems.

This book introduces the "Zero-Shift" design philosophy: a framework for achieving structural and optical invariance in autonomous perception sensors through material science, geometry, and thermodynamic equilibrium. Next, the book introduces Hardware Site Reliability Engineering (Hardware SRE) a novel framework applying software reliability engineering concepts (error budgets, service-level objectives, incident response) to physical optomechanical systems. This concept has not been previously published in engineering literature and represents a significant cross-domain contribution.

Written for practicing engineers at automotive Tier 1/2 suppliers, the book spans the complete lifecycle from STOP simulation methodology through 6-DoF active alignment, adhesive cure optimization, statistical process control, and digital twin manufacturing. All methods are validated with empirical results demonstrating 88% reduction in environmentally induced focus shift in production 8MP ADAS camera modules.

In addition, this book:

    Includes measurable results of validated methodologies and actual Practitioner's Notes in every chapter Provides complete lifecycle coverage from simulation through high-volume manufacturing (not design-only or theory-only) Introduces Hardware SRE, a novel concept of applying software reliability engineering to physical optomechanical systems

This item is Non-Returnable

Details

  • ISBN-13: 9783032407382
  • ISBN-10: 3032407389
  • Publisher: Springer
  • Publish Date: February 2027
  • Page Count: 162

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