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20212026
most citedHierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments

14 citations · 14 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Closed-Loop Evaluation of Bird's-Eye-View Maps from Cross-View Transformers as Inputs to Behavior-Cloning Policies

Felipe Carlos dos Santos, Eric Antonelo, Gustavo Claudio Karl Couto

In autonomous driving, Bird's-Eye View (BEV) representations provide a structured, top-down abstraction of the vehicle's surroundings and have become a key input modality for Behav…

cs.LG2026

A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle

Gustavo Claudio Karl Couto, Eric Aislan Antonelo, Gabriel George Zipperer

This paper presents a low-cost, open experimental platform for research in end-to-end autonomous driving with miniature Ackermann vehicles. The platform combines a physical vehicle…

cs.LG2025

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…

cs.CV2025

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…

cs.LG2023★ 14 cited

Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments

Gustavo Claudio Karl Couto, Eric Aislan Antonelo

Deriving robust control policies for realistic urban navigation scenarios is not a trivial task. In an end-to-end approach, these policies must map high-dimensional images from the…

cs.RO2021

Generative Adversarial Imitation Learning for End-to-End Autonomous Driving on Urban Environments

Gustavo Claudio Karl Couto, Eric Aislan Antonelo

Autonomous driving is a complex task, which has been tackled since the first self-driving car ALVINN in 1989, with a supervised learning approach, or behavioral cloning (BC). In BC…