Our Projects
Detection and Classification of Traffic Signs
An important task for autonomous driving is detecting and correctly classifying traffic signs in order to make decisions. Furthermore, it is important to know what the sign says when it contains numbers or letters. This problem is aggravated when driving during...
Inpainting for Autonomous Driving
Explore the innovative methods we employ to develop a complete set of driving data and train an advanced machine learning model for Inpainting in autonomous driving.Our model needs as input images, the ones that contains vehicles to remove, but as we have not found...
Low-Light Image Enhancement
The problem of Low-Light Image Enhancement involves improving the lighting levels in dark images. To solve this problem, it is possible to apply convolutional neural networks (CNNs) with supervised learning, meaning that a corrected reference image ("ground truth") is...
About Taking Pictures in Low-Light Environments
During the image capture process, there are various parameters that define the final result obtained, such as, exposure time, sensor ISO, chosen aperture, or lens focal length. Among these, the ones that are most relevant for nighttime photography are, without a...
Vehicle Detection under Adverse Weather Conditions
The recently advance on Artificial Inteligence (AI) has been crutial for the autonomous vehicles development. The human eye is capable of seeing a scene and quickly detecting people, signs or vehicles as well as their position and movement. The AI goal is to create...
Gesture Recognition to Support Driving
The impact of Artificial Intelligence (AI) in the field of autonomous driving has been substantial in recent years. As a result, there are numerous applications of these techniques to related problems, including gesture recognition, which we will discuss in this post....