With the increasing number of applications of camera systems within automobiles, the automotive industry has an assortment of image quality factors to verify and standards to adhere to. 

Imatest products can be used to characterize vehicle imaging systems, which along with other sensors, advanced processors and algorithms, will revolutionize future transportation. With increasing levels of autonomy, smart vehicles will be safer and more efficient than vehicles that depend on flawed human vision and attention.

Rear View Camera Systems

Rear view cameras typically have significant fisheye distortion. Some with fields of views greater than  qualify as being “ultra wide”. Surround View Camera Systems build upon the rear view camera by including side and front camera systems. With perspective distortion correction applied, the multi-camera images are stitched together into a top-down view of the area immediately surrounding the vehicle.

Advanced Driver Assist Systems (ADAS)

Advanced Driver Assist Systems (ADAS) usually contain forward facing camera systems that rapidly analyze oncoming objects.  In order to maximize the sensitivity, the lenses on these cameras may be focused at long range which may complicate the testing process. Imatest 4.5 Release can process RCCC Sensor data which is the image output format produced by most ADAS systems.

Imatest is part of the new IEEE P2020 Automotive Image Quality Standard whose mission is to define standard methods for characterizing ADAS systems.

Vision systems for recognizing pedestrian, bicycles and other vehicles are key to making a self-driving car safe. By increasing and verifying the image quality of these components, lives can be saved.

Lane Departure Warning Systems[1] (LDWS)

LDWS are an early form of ADAS which use cameras to track the location of the lane markers and produce haptic feedback along with audible and visual warnings when the driver starts to drift out of the lane without signaling.

Mirror Replacement Systems

Evaluation of Mirror Replacement / Camera Monitor Systems is covered by the ISO-16505 standard.

The UN Regulation 46 standard also addresses requirements for these systems.

Automotive Test Items


Resolution (Sharpness) Testing

This is the key factor for automotive image quality. For details related to specific applications see our ultra-wide and long range testing pages.

Dynamic Range Testing

Using the Imatest High Dynamic Range (ITHDR36) test chart, the ability to respond to challenging conditions can be verified.

High-Stress Testing

High Stress Target Edit

High-stress Test Target

Automotive camera systems must endure the harshest of environmental conditions, including a wide range of temperature, humidity.  Special environmental chambers are configured to subject collections of cameras to continuous environmental stress. If the chamber requires the chart to be internal to the high-stress environment, we offer a durable test target. Using Imatest IT and our Labview integration, there can be continuous monitoring of the image quality of the modules under test. When failures occur these comprehensive data readouts enable optimal root cause analysis.

More resources

Challenges in automotive image quality testing – Presentation, AutoSens Detroit 2017

Image quality testing for the automotive industry – On-demand Webinar

Three companies changing the autonomous driving landscape – Article