AutoTechInsight
ADAS Applications and Sensors Report
This report is available now to Autonomous Service subscribers
**Forecast updated April 2018**
Advanced Driver Assistance Systems (ADAS) are designed as aids for the driver. ADAS applications can be broadly divided into two categories – comfort/convenience and safety – and many applications provide benefits of both types. These benefits and the underlying use cases can help define how these technologies come to market.
The automotive industry has long established a minimum level of safety based on passive and/or reactive safety systems. This has created an environment in which consumers are reluctant to pay for “extra” safety, even if this new generation of ADAS safety options are establishing a new industry paradigm of crash avoidance over crashworthiness.
As a result, the automotive industry has begun to emphasize the convenience factor of many ADAS applications based on the assumption that consumers are more willing to pay for comfort and convenience than for “extra” safety. These comfort-centric applications often automate a repetitive task or reduce the stress of performing high-skill maneuvers; examples include autopilot or adaptive cruise control, automatic high beam, autonomous park assist, park assist, surround-view, traffic sign recognition, and night vision, among others.
About this report
This report outlines and discusses the market for advanced driver assistance systems (ADAS). ADAS offer an aid to the driver aimed at making the driving activity either safer, more convenient, or both; ADAS increasingly do so via autonomous control that does not always require the driver to interact with the system or the vehicle.
Please note that this report includes only systems installed or fitted when the vehicle is manufactured. These systems are often known as “factory-installed”, “factory-fit”, or “original equipment (OE)” systems and they are permanently installed in the vehicle. Systems fitted after the vehicle has been manufactured (aftermarket systems or dealer fit) are excluded.
All date references are calendar year, as opposed to model year, unless otherwise stated.
Introduction
Report Introduction
Source
Styles
Report Scope
Research Methodology
Geography
Common Metrics
Applications
Defining ADAS
The Need for ADAS
ADAS into the Future
Light Vehicle Production
Mirror Cameras
Blind Spot Information
Night Vision
Driver Monitoring
Park Assist
Autonomous Park Assist
Surround-View
Lane Departure Warning
Automatic High Beam
Traffic Sign Recognition
Forward Collision Warning
Automatic Emergency Braking
Adaptive Cruise Control
Autopilot
Sensors
ADAS Sensors
Radar
Camera
LIDAR
Ultrasound
Infrared
Maps & GPS
Connectivity
Sensor Fusion
Artificial Intelligence
Supplier Profiles (Suppliers)
Aisin
Autoliv
Bosch
Clarion
Continental
Delphi
DENSO
Gentex
Hella
Kostal
Magna Electronics
Mando
Mobileye
Mobis
NVIDIA
Panasonic
Quanergy
Trilumina
Valeo
ZF Friedrichshafen AG
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