CVC ADAS team participating at the Video Analytics towards Vision Zero partnership

The Vision Zero partnership is a crowdsourcing platform dedicated to help the video analytics system learn to detect road conflicts. The ADAS team at CVC, along with researchers from the UAB’s Engineering school, have joined the platform in order to generate realistic synthetic images with pixel-level annotation to help generalize and improve the training processes … Read more

Autonomous driving at San Francisco’s steepest streets

Researchers from the Computer Vision Center, Daimler and the Autonomous University of Barcelona have found a way to teach autonomous cars to successfully drive in steep city streets by reducing significant computational cost with a novel stixel depth model. When faced with a steep street, an autonomous car will identify a wall or a vertical … Read more

myStone: a real time kidney stone classification

Quickness, accuracy and a lower price are the main advantages of myStone, a device made to classify kidney stones and support urologists.  It is a fact that around 12% population suffer from kidney stones at some point in their lives and it is known that this rate is increasing globally. These stones are formed by … Read more

Best industry paper award at BMVC2017 for the ADAS team at CVC

The paper ‘Slanted stixels: Representing San Francisco’s Steepest Streets‘ has been awarded the best industry paper award at the British Machine Vision Conference 2017 in London. This paper is the result of the work produced by CVC, UAB and Daimler, more specifically authors Daniel Hernández, Lukas Schneider, Dr. Antonio Espinosa, Dr. David Vázquez, Dr. Uwe Franke, Dr. Marc Pollefeys and Dr. Juan C. Moure. The paper was presented as an oral session on the 5th of September at BMVC 2017 and it presents a novel compact scence representation based on stixels that infers geometric and semantic information. Congratulations to all the authors!