1 citations · 1 across the 2 of their papers we have counts for
3 papers
VWise: A novel benchmark for evaluating scene classification for vehicular applications
Pedro Azevedo, Emanuella Araújo, Gabriel Pierre +5
Current datasets for vehicular applications are mostly collected in North America or Europe. Models trained or evaluated on these datasets might suffer from geographical bias when…
Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks
Pedro Azevedo, Sabrina S. Panceri, Rânik Guidolini +4
We propose a bio-inspired foveated technique to detect cars in a long range camera view using a deep convolutional neural network (DCNN) for the IARA self-driving car. The DCNN rec…
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…