155 citations · 630 across the 16 of their papers we have counts for
5 papers · 1 filter
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images
Lucas Tabelini Torres, Thiago M. Paixão, Rodrigo F. Berriel +4
Deep learning has been successfully applied to several problems related to autonomous driving. Often, these solutions rely on large networks that require databases of real image sa…
Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night
Vinicius F. Arruda, Thiago M. Paixão, Rodrigo F. Berriel +4
Deep learning techniques have enabled the emergence of state-of-the-art models to address object detection tasks. However, these techniques are data-driven, delegating the accuracy…
Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars
Lucas C. Possatti, Rânik Guidolini, Vinicius B. Cardoso +5
Autonomous terrestrial vehicles must be capable of perceiving traffic lights and recognizing their current states to share the streets with human drivers. Most of the time, human d…
Budget-Aware Adapters for Multi-Domain Learning
Rodrigo Berriel, Stéphane Lathuilière, Moin Nabi +4
Multi-Domain Learning (MDL) refers to the problem of learning a set of models derived from a common deep architecture, each one specialized to perform a task in a certain domain (e…
Self-Driving Cars: A Survey
Claudine Badue, Rânik Guidolini, Raphael Vivacqua Carneiro +10
We survey research on self-driving cars published in the literature focusing on autonomous cars developed since the DARPA challenges, which are equipped with an autonomy system tha…