58 citations · 145 across the 12 of their papers we have counts for
6 papers · 1 filter
Memory-like Map Decay for Autonomous Vehicles based on Grid Maps
Thomas Teixeira, Filipe Mutz, Karin Satie Komati +5
In this work, we present a novel strategy for correcting imperfections in occupancy grid maps called map decay. The objective of map decay is to correct invalid occupancy probabili…
Ego-Lane Analysis System (ELAS): Dataset and Algorithms
Rodrigo F. Berriel, Edilson de Aguiar, Alberto F. de Souza +1
Decreasing costs of vision sensors and advances in embedded hardware boosted lane related research detection, estimation, and tracking in the past two decades. The interest in this…
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data
Jacson Rodrigues Correia-Silva, Rodrigo F. Berriel, Claudine Badue +2
In the past few years, Convolutional Neural Networks (CNNs) have been achieving state-of-the-art performance on a variety of problems. Many companies employ resources and money to…
Automatic Large-Scale Data Acquisition via Crowdsourcing for Crosswalk Classification: A Deep Learning Approach
Rodrigo F. Berriel, Franco Schmidt Rossi, Alberto F. de Souza +1
Correctly identifying crosswalks is an essential task for the driving activity and mobility autonomy. Many crosswalk classification, detection and localization systems have been pr…
Visual Global Localization with a Hybrid WNN-CNN Approach
Avelino Forechi, Thiago Oliveira-Santos, Claudine Badue +1
Currently, self-driving cars rely greatly on the Global Positioning System (GPS) infrastructure, albeit there is an increasing demand for alternative methods for GPS-denied environ…
Mapping Road Lanes Using Laser Remission and Deep Neural Networks
Raphael V. Carneiro, Rafael C. Nascimento, Rânik Guidolini +4
We propose the use of deep neural networks (DNN) for solving the problem of inferring the position and relevant properties of lanes of urban roads with poor or absent horizontal si…