autonomous-vehiclesAutonomous Vehicles

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Author: Kevin Mak
Publication Date: Apr 01 2016
Pages: 27
Report Type: Report, Word
Autonomous Vehicles

Semi-Autonomous Applications Accelerate Development in Automotive Driver Monitoring Systems

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Report Summary:

Automotive driver monitoring is now seeing a shift from systems that infer the state of the driver’s well-being and level of attention from the vehicle’s movement towards optical sensors that directly sense from the driver’s eye and head position.  As semi-autonomous applications require the safe handover of control from the vehicle to the driver, then direct sensing systems are increasingly being developed to meet this requirement.
Table of Contents

  1. Executive Summary
  2. Introduction
  3. Inferred Systems
    1. Existing Sensors
    2. Front Windshield Camera
  4. Biometric Steering Wheel Sensors
  5. Interior Cameras
    1. Sensing Principles
    2. Technical Challenges
      1. Sensor Positioning
      2. Illumination
      3. Software Algorithms
      4. Processing Requirements
      5. Sensor Resolution
      6. Pixel Saturation and Target Occlusion
    3. Cost Challenges
      1. Time Of Flight Cost Premium
      2. Additional Applications
    4. DENSO-Aisin Driver Monitoring System
    5. Semi-Autonomous Vehicle Control Handover
  6. System Demand Forecast
    1. Inferred Systems
    2. Interior Cameras

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