Technology Challenges for Image Sensors in ADAS & Autonomous Vehicle Markets to 2023

With around 80 million cars being produced worldwide in 2017 and camera-based ADAS becoming mandatory in many markets, the automotive field is considered a key technological innovation driver of image sensors.

£4,500.00

Add to basket Enquire
Product detail
Product type: Market report
Date of publication: 11 Jun 2018
Product format: Digital Copy, Hard Copy
Number of tables: 120
Technology Challenges for Image Sensors in ADAS & Autonomous Vehicle Markets to 2023
  • This brand new study covers state-of-the-art, as well as current developments and research areas, of image sensor technologies for Advanced Driver Assistant Systems (ADAS) and Autonomous Driving Systems (ADS).
  • It also presents the technology challenges around image sensors for vision, night vision, 3D vision, and LiDAR, and ranksthe top 20 technology challenges across all fields via a detailed scorecard.

  • Rankings are based on an assessment of a broad range of technology challenges, including a survey of key stakeholders in the image sensor and automotive sectors, and beyond.

Description

Our exclusive content:

  • In-depth analyses of the key developments in image sensors for the ADAS, ADS andautomotive market to 2023.
  • Comprehensive information on the top 20 technological innovations and challenges, based on solution potential and commercial impact.
  • An overview of key opportunities for imagesensors in ADAS and ADS applications to 2023

Methodology:

A Delphi-type study was used for this report comprising industry survey, assessment and feedback. This was initiated with an extensive literature and patent research, data collection and discussions with industry experts from key stakeholder groups, including image sensor business and R&D, vision system and software developers, and automotive suppliers and manufacturers, and other research organisations and consultants. This was combined to create a pool of expert knowledge covering all relevant areas of the industry.

The report drew on this expertise to identify and rank the top 20 technology challenges in image sensors for ADAS and autonomous vehicles, ranked based on their solution potential and commercial impact during the forecast period.

What will you discover?

  • A complete overview of the technological challenges and innovations for image sensors in the ADAS and autonomous vehicle market.
  • Gain insight into the current and future developments within the market to aid your business’s strategic plans.
  • Understand the state of-the-art in ADAS and autonomous imaging technologies, emerging solutions and their commercial impact.

Who should buy this report?

  • Image sensor suppliers
  • Imaging system and
  • software suppliers
  • Automotive sector suppliers
  • Automotive manufacturers
  • Consultants and analysts

Table of Contents

Contents:

Executive summary

Introduction and methodology

  • Introduction
  • Scope and objective
    • ADAS features
    • ADS features
  • Methodology
  • Definitions, abbreviations and glossary
    • Active Safety System
    • Advanced Driver Assistance System (ADAS)
    • Automated Driving System (ADS)
    • ADS-Dedicated Vehicle (ADS-DV)
    • Dynamic Driving Task (DDT)
  • ADS and ADAS functions relying on image sensors
  • Legislation and standards
  •  Ethical considerations
  • Key players in ADAS and ADS development
  •  Key players in automotive image sensor development
  • Today’s most advanced ADS on the street
  • Technology challenges of ADAS and ADS..

Image sensor applications and their requirements

  • Introduction.
  • Obstacle recognition and longitudinal control
  • Traffic sign and traffic light recognition
  •  Lane departure warning and lateral control on highways
  •  Roadside and road curb recognition
  • Lane change assistant
  • Blind spot monitoring
  •  Rear-view and surround view
  •  Park assistant
  • Adaptive lighting
  • Prediction of human and animal behavior
  • Driver attention and drowsiness detection
  • Unmet requirements by image sensor type.

 Top 20 technology challenges

  • Introduction
  • Challenges in pixel and readout design for vision and near-infrared 
    • Pixel count
      • Current state-of-the-art
      • Forecast to 2023
    • Manufacturing quality and consistency
      •  Current state-of-the-art
      • Forecast to 2023
    • High dynamic range
      • Current state-of-the-art
      • Forecast to 2023
    • Sensitivity
      • Current state-of-the-art
      • Forecast to 2023
    • Compact pixel size
      •  Current state-of-the-art
      •  Forecast to 2023
    • Frame rate
      • Current state-of-the-art
      • Forecast to 2023
    • Other challenges in pixel readout design
  • Challenges in sensor design
    • Compact and durable sensor package
      • Current state-of-the-art
      • Forecast to 2023.
    •  Standardized high speed interfaces.
      •  Current state-of-the-art
      •  Forecast to 2023
    •  Integrated pre-processing.
      •  Current state-of-the-art
      •  Forecast to 2023
    • Heat resistance.
      • Current state-of-the-art
      • Forecast to 2023
    • Other challenges in heat resistance.
  •  Challenges in sensors for night vision.
    • Resolution
      • Current state-of-the-art
      • Forecast to 2023
    • Resistance to direct sunlight exposure.
      •  Current state-of-the-art
      •  Forecast to 2023
    •  Other challenges in sensors for night vision.
  • Challenges in sensors for LiDAR..
    • Compact design.
      • Current state-of-the-art
      • Forecast to 2023
    • Accuracy
      • Current state-of-the-art
      • Forecast to 2023
    • Wavelengths
      •  Current state-of-the-art
      •  Forecast to 2023.
    • Other challenges in sensors for LiDAR..
  • Challenges for safety-critical functions.
    •  Self-monitoring.
      • Current state-of-the-art
      •  Forecast to 2023
    •  Simulation of sensor responses in different situations (kid directs laser pointer on sensor)
      • Current state-of-the-art
      • Forecast to 2023
    • Other challenges for safety-critical functions.
  • Commercial challenges.
    • Cost
      •  Current status.
      •  Forecast to 2023
    • Availability
      • Current status.
      • Forecast to 2023
    • Other commercial challenges.
  • Conclusion

Tables and Figures

List of tables:

  • TABLE 2.1 Key requirements on image sensors for SAE level 0 to 2. 16
  • TABLE 2.2 Key requirements on image sensors for SAE level 3. 16
  • TABLE 2.3 Key requirements on image sensors for SAE level 4 to 5. 16
  • TABLE 2.4 Interplay of sensor technologies for Obstacle recognition and longitudinal control 19
  • TABLE 2.5 Key requirements on image sensors for longitudinal sensing per SAE level and driving mode. 19
  • TABLE 2.6 Performance comparison of emergency break assistants for pedestrians and cyclists. 19
  • TABLE 2.7 Interplay of sensor technologies for traffic sign and traffic light recognition. 20
  • TABLE 2.8 Key requirements on image sensors for traffic sign and traffic light recognition per SAE level and driving mode. 20
  • TABLE 2.9 Interplay of sensor technologies for lateral sensing on highways. 21
  • TABLE 2.10 Key requirements on image sensors for lateral sensing on highways per SAE level and driving mode. 21
  • TABLE 2.11 Interplay of sensor technologies for roadside and road curb recognition. 21
  • TABLE 2.12 Key requirements on image sensors for lateral sensing per SAE level and driving mode. 21
  • TABLE 2.13 Interplay of sensor technologies for lane changing. 22
  • TABLE 2.14 Key requirements on image sensors for lane changing per SAE level and driving mode. 22
  • TABLE 2.15 Interplay of sensor technologies for blind spot monitoring. 22
  • TABLE 2.16 Key requirements on image sensors for blind spot monitoring per SAE level and driving mode. 22
  • TABLE 2.17 Interplay of sensor technologies for rear-view and surround view.. 23
  • TABLE 2.18 Key requirements on image sensors for rear-view and surround view.. 23
  • TABLE 2.19 Interplay of sensor technologies for park assistant 23
  • TABLE 2.20 Key requirements on image sensors for parking per SAE level and driving mode. 23
  • TABLE 2.21 Interplay of sensor technologies for adaptive lighting. 24
  • TABLE 2.22 Key requirements on image sensors for adaptive lighting per driving mode. 24
  • TABLE 2.23 Interplay of sensor technologies for prediction of human and animal behavior 24
  • TABLE 2.24 Key requirements on image sensors for human and animal behavior prediction per SAE level and driving mode. 24
  • TABLE 2.25 Interplay of sensor technologies for driver monitoring. 25
  • TABLE 2.26 Key requirements on image sensors for driver monitoring per SAE level 25
  • TABLE 2.27 Unmet requirements for all SAE levels by image sensor type. 25
  • TABLE 2.28 Unmet requirements for SAE level 3 by image sensor type. 25
  • TABLE 2.29 Unmet requirements for SAE level 4-5 by image sensor type. 25
  • TABLE 3.1 Score card (for each challenge) 26
  • TABLE 3.2 Challenges in pixel and readout design for vision and near-infrared ranked. 26
  • TABLE 3.3 Score card for pixel-count 26
  • TABLE 3.4 Application opportunities and benefits for pixel-count 26
  • TABLE 3.5 Solution description and maturity, 2018 and 2023 for pixel-count 26
  • TABLE 3.6 Score card for manufacturing quality and consistency. 26
  • TABLE 3.7 Application opportunities and benefits for manufacturing quality and consistency. 27
  • TABLE 3.8 Solution description and maturity, 2018 and 2023 for manufacturing quality and consistency. 27
  • TABLE 3.9 Score card for high dynamic range. 27
  • TABLE 3.10 Application opportunities and benefits for sensor pixel-count 27
  • TABLE 3.11 Solution description and maturity, 2018 and 2023 for sensor pixel-count 27
  • TABLE 3.12 Score card for sensitivity. 27
  • TABLE 3.13 Application opportunities and benefits for sensitivity. 27
  • TABLE 3.14 Solution description and maturity, 2018 and 2023 for sensitivity. 27
  • TABLE 3.15 Score card for compact pixel size. 27
  • TABLE 3.16 Application opportunities and benefits for compact pixel size. 27
  • TABLE 3.17 Solution description and maturity, 2018 and 2023 for compact pixel size. 27
  • TABLE 3.18 Score card for frame rate. 27
  • TABLE 3.19 Application opportunities and benefits for frame rate. 27
  • TABLE 3.20 Solution description and maturity, 2018 and 2023 for frame rate. 27
  • TABLE 3.21 Challenges in sensor design ranked. 27
  • TABLE 3.22 Score card for compact and durable sensor package. 28
  • TABLE 3.23 Application opportunities and benefits for compact and durable sensor package. 28
  • TABLE 3.24 Solution description and maturity, 2018 and 2023 for compact and durable sensor package. 28
  • TABLE 3.25 Score card for standardized high speed interfaces. 28
  • TABLE 3.26 Application opportunities and benefits for standardized high speed interfaces. 28
  • TABLE 3.27 Solution description and maturity, 2018 and 2023 for standardized high speed interfaces. 28
  • TABLE 3.28 Score card for integrated pre-processing. 28
  • TABLE 3.29 Application opportunities and benefits for integrated pre-processing. 28
  • TABLE 3.30 Solution description and maturity, 2018 and 2023 for integrated pre-processing. 28
  • TABLE 3.31 Score card for heat resistance. 28
  • TABLE 3.32 Application opportunities and benefits for heat resistance. 28
  • TABLE 3.33 Solution description and maturity, 2018 and 2023 for heat resistance. 28
  • TABLE 3.34 Challenges of sensors for night vision ranked. 28
  • TABLE 3.35 Score card for night vision sensor resolution. 28
  • TABLE 3.36 Application opportunities and benefits for night vision sensor resolution. 29
  • TABLE 3.37 Solution description and maturity, 2018 and 2023 for night vision sensor resolution. 29
  • TABLE 3.38 Challenges of sensors for LiDAR ranked. 29
  • TABLE 3.39 Score card for compact design of sensors for LiDAR.. 29
  • TABLE 3.40 Application opportunities and benefits for compact design of sensors for LiDAR.. 29
  • TABLE 3.41 Solution description and maturity, 2018 and 2023 for compact design of sensors for LiDAR.. 29
  • TABLE 3.42 Score card for LiDAR accuracy. 29
  • TABLE 3.43 Application opportunities and benefits for LiDAR accuracy. 29
  • TABLE 3.44 Solution description and maturity, 2018 and 2023 for LiDAR accuracy. 29
  • TABLE 3.45 Score card for LiDAR wavelengths. 29
  • TABLE 3.46 Application opportunities and benefits for LiDAR wavelengths. 29
  • TABLE 3.47 Solution description and maturity, 2018 and 2023 for LiDAR wavelengths. 29
  • TABLE 3.48 Challenges for safety-critical functions ranked. 29
  • TABLE 3.49 Score card for self-monitoring. 30
  • TABLE 3.50 Application opportunities and benefits for self-monitoring. 30
  • TABLE 3.51 Solution description and maturity, 2018 and 2023 for self-monitoring. 30
  • TABLE 3.52 Score card for simulation of sensor responses. 30
  • TABLE 3.53 Application opportunities and benefits for simulation of sensor responses. 30
  • TABLE 3.54 Solution description and maturity, 2018 and 2023 for simulation of sensor responses. 30
  • TABLE 3.55 Commercial challenges ranked. 30
  • TABLE 3.56 Score card for cost 30
  • TABLE 3.57 Application opportunities and benefits for cost 30
  • TABLE 3.58 Solution description and maturity, 2018 and 2023 for cost 30
  • TABLE 3.59 Score card for availability. 30
  • TABLE 3.60 Application opportunities and benefits for availability. 30
  • TABLE 3.61 Solution description and maturity, 2018 and 2023 for availability. 30
  • TABLE 3.62 Top 20 technology challenges ranked by overall score. 31
  • TABLE 3.63 Top 20 technology challenges ranked by relevance for SEA level 3. 31
  • TABLE 3.64 Top 20 technology challenges ranked by relevance for SEA level 5. 31
  • TABLE 3.65 Top 20 technology challenges ranked by solution maturity 2018. 31
  • TABLE 3.66 Top 20 technology challenges ranked by expected solution maturity 2023. 31
  • TABLE 3.67 Technology challenges of image sensors for vision and near-infrared ranked. 31
  • TABLE 3.68 Technology challenges of sensors for LiDAR ranked. 31

List of figures:

  • FIGURE 1.1 Regional distribution of traffic deaths. 1
  • FIGURE 1.2 SAE Levels of driver assistance and autonomous driving. 4
  • FIGURE 1.3 Schematic sensor concept for autonomous vehicles. 5
  • FIGURE 1.4 Illustration of the time-of-flight approach for LiDAR.. 7
  • FIGURE 1.5 Illustration of the operating mode of a windshield rain sensor 9
  • FIGURE 1.6 Schematic view of driving task. 12
  • FIGURE 2.1 Longitudinal sensing. 19
  • FIGURE 2.2 Sensor operation for the recognition of traffic signs and traffic lights. 20
  • FIGURE 2.3 Lateral driveway sensing on a highway. 20
  • FIGURE 2.4 Lateral driveway sensing on roads. 21
  • FIGURE 2.5 Lateral driveway sensing in urban traffic. 21
  • FIGURE 2.6 Different roadside marks in different countries. 21
  • FIGURE 2.7 Sensor operation for car-aside recognition. 22
  • FIGURE 2.8 Sensor operation for blind spot monitoring. 22
  • FIGURE 2.9 Sensor operation for 360° surround view.. 23
  • FIGURE 2.10 Sensor operation for parking and un-parking. 23
  • FIGURE 2.11 Sensor operation for adaptive lighting. 24
  • FIGURE 2.12 Sensor operation for human and animal behavior prediction. 24
  • FIGURE 2.13 Sensor operation for driver monitoring. 25