IEEE working group for automotive system image quality proposed
A project to establish a workgroup under IEEE for a standard for automotive system image quality has begun. The proposed standard working group, if it is approved by the IEEE-SA Standards Board, will aim to ‘specify methods and metrics for measuring and testing automotive image quality’.
Rob Stead, interim chair of the working group and an established member of two related IEEE societies (Robotics and Automation, and Vehicular Technologies), commented: ‘The Project Authorisation Request (PAR) has been submitted to the IEEE Standards Association and will be reviewed for approval at their next meeting in May. The workgroup will be made open to all interested parties for input, and will remain non-commercial and regulated by the IEEE code of practice.’
Stead added that expressions of interest from those working in or aligned to the automotive vision sector were welcome.
Advanced Driver Assistance Systems (ADAS) are a reality to a greater or lesser extent, with parking aids and hazard avoidance detection now onboard many high-end cars.
Google and Tesla, among other automotive companies, are continuing work on driverless cars that use a mixture of lidar and image sensor technology to navigate and avoid obstacles, while a platoon of trucks linked wirelessly arrived in Rotterdam in April as part of the European Truck Platooning Challenge.
Stead has worked for three years alongside experts from global car manufacturers, including Jaguar Land Rover, Ford and General Motors, as well as Tier 1 companies such as Valeo, and component suppliers like On Semiconductor.
The full meeting schedule will be announced pending IEEE New Standards Committee (NESCOM) approval. The first annual meeting would be held in Brussels, immediately preceding the AutoSens conference, which will take place from 22 to 22 September.
Driving imaging innovation - Jessica Rowbury reports from an automotive session at the Image Sensors conference in London, which included speakers from Valeo Systems, BMW, Melexis and Jaguar Land Rover