Inpainting for Autonomous Driving

Inpainting for Autonomous Driving

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. Artificial generation of images with vehicles Our model needs as...
Low-Light Image Enhancement

Low-Light Image Enhancement

Low-Light Image Enhancement This section presents a concise overview of low light image enhancement techniques and their significance in the context of autonomous driving. The problem of Low-Light Image Enhancement involves improving the lighting levels in dark...
About Taking Pictures in Low-Light Environments

About Taking Pictures in Low-Light Environments

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...
Vehicle Detection under Adverse Weather Conditions

Vehicle Detection under Adverse Weather Conditions

Vehicle Detection under Adverse Weather Conditions Explore the cutting-edge techniques we use to build a comprehensive dataset and train a machine learning model for Vehicle Detection in Adverse Weather Conditions—ensuring robust perception even in the most...
Gesture Recognition to Support Driving

Gesture Recognition to Support Driving

Gesture Recognition to Support Driving Designing and Evaluating a Deep Learning-Powered Interface for Contactless Driver-Vehicle Interaction. The solution reduces distraction by replacing physical inputs with intuitive hand gestures, combining real-time processing...