Smart Cameras for Smarter Autonomous Vehicles and Robots đˇđ¤
The 36th British Machine Vision Conference (BMVC) 2025 Full-day, Thusday 27th November 2025, Sheffield, UK Venue: Cutlers' Hall, Reception Room
Introduction
Welcome to the workshop on Smart Cameras for Smarter Autonomous Vehicles & Robots! This one-day event at BMVC 2025 brings together vision, robotics, and computational imaging experts to discuss challenges, applications, and innovations in embedded camera systems for robotic platforms.
Many advances in the development of autonomous robots and self-driving cars are limited by their embedded sensors.
Arguably, the most important sensors in autonomous vehicles and robots are the cameras.
The entire navigation and driving pipeline relies on high-quality visual input data.
Vision-based algorithms for object recognition and scene understanding are key to ensuring proper navigation and interaction in the real world.
However, what happens if the camera gets damaged?
What if the visual information is noisy? The safety and proper behavior of many autonomous systems depend on the quality and reliability of the cameras.
For this reason, we introduce the 1st âSmart Cameras for Smarter Autonomous Vehicles and Robotsâ Workshop to unify low-level vision, computational photography, and robotics.
Marcos V. Conde, Larissa Triess (Mercedes-Benz R&D), Arturo Deza (CEO Artificio), Lin Gu (Riken), Ziteng Cui (UTokyo), Matthieu Terris (Inria, Blur Labs), Hirokatsu Kataoka (AIST,
University of Oxford VGG), Juan C. Benito, Daniel Feijoo, Javier Abad HernĂĄndez, Ălvaro GarcĂa Lara, Paula Garrido, Ălvaro GarcĂa.
đ¤ Workshop sponsored by FundaciĂłn CIDAUT.
We plan to host this workshop annually at major computer vision conferences.
If you are interested in joining the organizing team, please contact us.
Contact {marcos.conde, juaben, alvgar}@cidaut.es
Sponsors & Supporters
Call for Papers [CLOSED]
We invite paper submissions on topics related to computational photography and low-level computer vision with applications in robotics and autonomous driving.
The topics include, but are not limited to:
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.