1 citations · 1 across the 5 of their papers we have counts for
5 papers
Exploring multimodal implicit behavior learning for vehicle navigation in simulated cities
Eric Aislan Antonelo, Gustavo Claudio Karl Couto, Christian Möller
Standard Behavior Cloning (BC) fails to learn multimodal driving decisions, where multiple valid actions exist for the same scenario. We explore Implicit Behavioral Cloning (IBC) w…
An Initial Study of Bird's-Eye View Generation for Autonomous Vehicles using Cross-View Transformers
Felipe Carlos dos Santos, Eric Aislan Antonelo, Gustavo Claudio Karl Couto
Bird's-Eye View (BEV) maps provide a structured, top-down abstraction that is crucial for autonomous-driving perception. In this work, we employ Cross-View Transformers (CVT) for l…
Physics-Informed Neural Networks for Control of Single-Phase Flow Systems Governed by Partial Differential Equations
Luis Kin Miyatake, Eduardo Camponogara, Eric Aislan Antonelo +1
The modeling and control of single-phase flow systems governed by Partial Differential Equations (PDEs) present challenges, especially under transient conditions. In this work, we…
A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads
Rafael S. Toledo, Cristiano S. Oliveira, Vitor H. T. Oliveira +2
Autonomous driving needs good roads, but 85% of Brazilian roads have damages that deep learning models may not regard as most semantic segmentation datasets for autonomous driving…
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution
Irving G. B. Petrazzini, Eric A. Antonelo
Reinforcement learning methods for continuous control tasks have evolved in recent years generating a family of policy gradient methods that rely primarily on a Gaussian distributi…