AutoSens Awards

Celebrating the best and brightest working at the cutting-edge of innovation in ADAS and autonomous vehicle technology.

1 MAY 2022
15 JULY 2022
11 AUGUST 2022

Let's celebrate!

This year we’re back in-person, at the Autoworld Museum, on 13 September 2022, celebrating the greatest achievements in our industry.

With 8 categories of innovation in the fields of ADAS, perception, computer vision and more, we are looking forward to recognising the great achievements and progress being made in our Community. Our expert panel of judges are currently deliberating over the shortlist, which will be announced soon. 

Why not join us to celebrate our winners? Attendance to the Awards is included with your AutoSens Brussels pass.

The 2022 Categories

2020 Vision Award

Are you a part of, or do you know a visionary team of engineers? This award goes to those inspiring progress throughout the vehicle perception ecosystem.

This award is aimed at Teams who are shaping the industry in a big way right now, and whose impact will last for years to come. Their 2020 Vision is our inspiration for the future.

Best in Class Software for Perception Systems

Recognising the best in class software for vehicle perception systems. Software pervades all parts of the perception technology ecosystem, this Award will be won by a truly innovative software-based solution that is augmenting perception capabilities.

This award will recognise the best software available for use in the development of perception systems or within the system itself. Submissions must be for commercialised products, not concepts.

Hardware Development of the Year

The stand-out hardware innovation of the last 12 months, from sensors to processors, optics or other physical components critical to the operation of ADAS or AV perception systems.

This award will recognise the best sensor, processor or other hardware innovation that will further the autonomous vehicle development. Submissions must be for commercialised products, not concepts.

Most Exciting Start-Up

Recognising a genuine intent to create a business, change the world and be known as a force for change in a single small company of motivated, passionate people.

This award is open to all young companies under 2 years old (as of 01/01/2022) that are “one to watch”, having created a dynamic business model with the potential to make a seismic change.

Most Innovative In-Cabin Perception Application

Recognising the most innovative in-cabin application of imaging components, sensing systems or software, either in production or R&D phase.

This award is open to product systems monitoring in-cabin or components facilitating driver or occupant monitoring, in addition to software.

Best Validation/Simulation Tool

Recognising the best tool that responds to increasing industry demands for robust validation of ADAS systems. This could be a software / hardware system, or a test facility / methodology applied in this application.

This award is open for submissions from those working on validation methodology, simulation space, virtual validation and testing software or measurement equipment.

Most Innovative Application or Deployment of Computer Vision

Recognising teams or companies that have applied computer vision technology to automotive, in a way that is set to change the industry and make cars safer. This Award will be awarded to the most innovative use of CV that has been demonstrated in action and that it is set to truly disrupt the status quo.

Open to all applications of computer vision in automotive, ADAS and autonomous driving, either in development or production, including deep learning and AI applications.

Most Novel Research

Highlighting the exceptional work across not only academia, but also in research organisations throughout the automotive supply chain. This award will go to a team or individual doing research that is making a significant impact in the technical community.

The novel research award is open to all stand-out research projects and programmes ongoing in 2022 that are seeking to find and share new understanding, ideas and knowledge.

Judging Panel

Patrick Denny

Lecturer Artificial Intelligence
University of Limerick

Sven Fleck


Robin Jenkin

Principal Image Quality Engineer