IEEE P2020- Automotive Image Quality Working Group
We are published! The pre-release draft version of the P2020 standard is now posted in the IEEE Explore library here: IEEE P2020 Automotive System Image Quality Draft Standard
This 284 page standard addresses the fundamental attributes that contribute to image quality for automotive Advanced Driver Assistance Systems (ADAS) applications, as well as identifying existing metrics and other useful information relating to these attributes. It defines a standardized suite of objective and subjective test methods for measuring automotive camera image quality attributes, and it specifies tools and test methods to facilitate standards-based communication and comparison among OEM and Tier 1 system integrators and component vendors regarding automotive ADAS image quality.
This is a major milestone for our group. Thank you and congratulations to everyone who contributed to making this a reality!
The IEEE-SA P2020 working group on automotive imaging standards was established in order to address the considerable ambiguity in measurement of image quality of automotive imaging systems, both human and computer vision based. This white paper outlines the goals, achievements, rationale and plans of the subgroup, which has started to work on development of a new standard.
Image quality plays a crucial role for both automotive viewing and automotive computer vision applications and today’s image evaluation approaches do not necessarily meet the needs of such applications. Currently there is not a consistent approach within the industry to measure automotive image quality.
The IEEE P2020 working group is attempting to remedy these deficiencies by connecting people in the field, identifying gaps in existing standards, and working to address these by creating a coherent set of key performance indicators by which camera systems and components may be evaluated in a manner consistent with their intended use.
Formal IEEE Standards Association Description
Title: Standard for Automotive System Image Quality
Scope: This standard addresses the fundamental attributes that contribute to image and quality for automotive Advanced Driver Assistance Systems (ADAS) applications, as well as identifying existing metrics and other useful information relating to these attributes. It defines a standardized suite of objective and subjective test methods for measuring automotive camera image quality attributes, and it specifies tools and test methods to facilitate standards-based communication and comparison among OEM and Tier 1 system integrators and component vendors regarding automotive ADAS image quality.
Purpose: This standard specifies methods and metrics for measuring and testing automotive image quality to ensure consistency and create cross-industry reference points.
Stakeholders for the Standard: Automotive OEMs, Automotive Tier 1 suppliers, image processing software and hardware companies, optics companies, sensor manufacturers, safety certification bodies, end users (drivers).
About This Website
This website is the official home of the P2020 project online. It contains links to relevant information, dates and details of meetings, information for potential new members, FAQ, and updates on the progress achieved so far within the working group.
If you are interested to join our working group, please take some time to browse around the resources and contact us with any questions, or feel free to contact any of the working group officers directly – contact details are in the right hand column.
Get involved in the IEEE 2020 Working Group
You do not need to be an IEEE member to join the working group, or to receive information and updates. You can express your interest by completing the form below (your data will not be used for any other purposes, although submitting your details will trigger an invitation to join the iMeet workspace, with a record kept of that sent invitation). If you are a member of the press or not an IEEE member, please indicate that on the form.
IEEE members may also engage in the project via the IEEE-SA microsite for P2020, or by contacting the relevant IEEE-SA Liason, Michael Kipness.
Click below for information on our next meeting, we hope to see you there!
Margaret Belska, email@example.com
Dr. Sven Fleck, firstname.lastname@example.org
Robin Jenkin, email@example.com
Prof. Patrick Denny, firstname.lastname@example.org
IEEE-SA Staff Program Manager
Soo Kim, email@example.com