Future of Automotive Sensor Fusion for Active Safety

Future of Automotive Sensor Fusion for Active Safety

Software Margins in ADAS Applications to Grow above 20% by 2020

RELEASE DATE
28-Jul-2016
REGION
North America
Research Code: MB3D-01-00-00-00
SKU: AU01338-NA-MR_18865
AvailableYesPDF Download
$4,950.00
In stock
SKU
AU01338-NA-MR_18865
$4,950.00
DownloadLink
ENQUIRE NOW

Description

The complexities of next generation semi and highly automated driving, clubbed with the increasing number of complimentary qualities among vision sensors, makes it challenging for ADAS system developers to decide on the most compatible sensor suite. Sensor fusion as a technique allows developers to choose the right sensor combination, where ADAS implementation is executed by using data from various sensors rather than just one sensor. This report looks at the current and future sensor fusion approaches and the market shares of each sensor and indicates the best approaches for OEMs and suppliers looking to use this technology to propel their growth in the fast evolving ADAS and automated driving market.

RESEARCH: INFOGRAPHIC

This infographic presents a brief overview of the research, and highlights the key topics discussed in it.
Click image to view it in full size

Table of Contents

Executive Summary—Key Findings

ADAS Market Sizing Europe and North America

Key Regulations

Comparative Analysis of Camera, LIDAR, and RADAR

Comparative Analysis of Various Automotive Sensors

Typical Sensor Fusion Suite for Future ADAS Application

Research Scope

Research Aims and Objectives

Key Questions This Study Will Answer

Research Background

Research Methodology

Key OEM/Player Groups Compared in this Study

Product or System Definitions

Errors in Sensing Systems

Emerging Use Cases For On-board Perception Systems

Sensor Suite Based on ADAS Application

Sensor Suite Based on ADAS Application (continued)

Data Fusion on a Typical Sensor Suite for ADAS Application

ACC Market—Component Break-up and Value Chain Assessment

ACC OEM—Supplier Relationship

LDW Component Break-Up and Value Chain Assessment

LDW OEM-Supplier Relationship

FCW Component Break-up and Value Chain Assessment

FCW OEM-Supplier Relationship

NV Component Break-up and Value Chain Assessment

NV OEM-Supplier Relationship

BSD Component Break-Up and Value Chain Assessment

BSD OEM-Supplier Relationship

PA Component Break-up and Value Chain Assessment

PA OEM-Supplier Relationship

Market Drivers and Restraints

Expansion of Market Drivers

Market Drivers and Restraints

Expansion of Market Restraints

Methodology for Forecasting RADAR Sensor Uptake

RADAR Sensor Forecast

Methodology for Forecasting Camera Sensor Uptake

Mono + Stereo Camera Sensor Forecast (Frontal View)

Methodology for Forecasting Ultrasonic Sensor Uptake

Ultrasonic Sensor Forecast

Methodology for Forecasting Infrared Sensor Uptake

Infrared Sensor Forecast

Value-Chain Analysis

Prices Across Value Chain

Key Conclusion

Key Conclusions and Future Outlook

The Last Word—3 Big Predictions

Legal Disclaimer

Abbreviations and Acronyms Used

Abbreviations and Acronyms Used (continued)

Market Engineering Methodology

Related Research
The complexities of next generation semi and highly automated driving, clubbed with the increasing number of complimentary qualities among vision sensors, makes it challenging for ADAS system developers to decide on the most compatible sensor suite. Sensor fusion as a technique allows developers to choose the right sensor combination, where ADAS implementation is executed by using data from various sensors rather than just one sensor. This report looks at the current and future sensor fusion approaches and the market shares of each sensor and indicates the best approaches for OEMs and suppliers looking to use this technology to propel their growth in the fast evolving ADAS and automated driving market.
More Information
No Index No
Podcast No
Author Arunprasad Nandakumar
WIP Number MB3D-01-00-00-00
Is Prebook No
GPS Codes 9800-A6,9807-A6,9813-A6,9AF6-A6,9B13-A6