Panel Discussion: How Should Image Quality in Computer Vision be Utilised for Safety Analysis?

Event: AutoSens Brussels
| Published: 5th October 2023
Sign in | Register to Bookmark

Hear from:

William O Grady
Computer Vision Product Owner & Expert,


Nirav Dharia
Sensor Architect Lead,

Waymo LLC

Alexis Lluis Gomez
Technical Director - Imaging,


Javier Salado
Technical Product Manager,


Patrick Denny
Lecturer in Artificial Intelligence,

University of Limerick

Image quality plays a crucial role in vision-based safety-critical applications. From reliable dataset generation and training, to testing and evaluation, through to assisted and autonomous driving in adverse weather conditions, high-quality images are vital the accurate and reliable performance of the vehicles of the future. A lack of standardised KPIs has left the industry without a benchmark for performance evaluation, resulting in inconsistencies, hampering the industry’s ability to make objective decisions and improvements in this crucial area.

But, of course, balances throughout the vehicle and supply-chain such as cost, latency, and energy consumption must all be taken into consideration – how can we ensure the highest-quality images are available whilst maintaining these checks and balances?

In this panel, industry experts will discuss the impact of image quality on object, lane, and VRU detection, with a focus on challenging and complex light and weather combinations.

Want to watch this session?

You must be logged in to watch this session.

Please either login or create an account.

Scroll to Top