activity
20192025
most citedA new interpretable unsupervised anomaly detection method based on residual explanation

33 citations · 58 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2025

Injecting Hallucinations in Autonomous Vehicles: A Component-Agnostic Safety Evaluation Framework

Alexandre Moreira Nascimento, Gabriel Kenji Godoy Shimanuki, Lúcio Flavio Vismari +5

Perception failures in autonomous vehicles (AV) remain a major safety concern because they can directly compromise decision-making and contribute to unsafe behavior. To study how t…

cs.RO2025

CORTEX-AVD: A Framework for CORner Case Testing and EXploration in Autonomous Vehicle Development

Gabriel Kenji Godoy Shimanuki, Alexandre Moreira Nascimento, Lucio Flavio Vismari +3

Autonomous Vehicles (AVs) aim to improve traffic safety and efficiency by reducing human error. However, ensuring AVs reliability and safety is a challenging task when rare, high-r…

cs.RO2025

Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safety

Gabriel Kenji Godoy Shimanuki, Alexandre Moreira Nascimento, Lucio Flavio Vismari +3

In recent years, there has been significant development of autonomous vehicle (AV) technologies. However, despite the notable achievements of some industry players, a strong and ap…

eess.SY2022★ 1 cited

UAS in the Airspace: A Review on Integration, Simulation, Optimization, and Open Challenges

Euclides Carlos Pinto Neto, Derick Moreira Baum, Jorge Rady de Almeida +2

Air transportation is essential for society, and it is increasing gradually due to its importance. To improve the airspace operation, new technologies are under development, such a…

cs.LG2021★ 33 cited

A new interpretable unsupervised anomaly detection method based on residual explanation

David F. N. Oliveira, Lucio F. Vismari, Alexandre M. Nascimento +6

Despite the superior performance in modeling complex patterns to address challenging problems, the black-box nature of Deep Learning (DL) methods impose limitations to their applic…

cs.CY2019★ 9 cited

Trajectory-Based Urban Air Mobility (UAM) Operations Simulator (TUS)

Euclides C. Pinto Neto, Derick M. Baum, Jorge Rady de Almeida Junior +2

Nowadays, the demand for optimized services in urban environments to provide better society wellness is increasing. In this sense, ground transportation in dense urban environments…

cs.CY2019★ 15 cited

A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safety

A. M. Nascimento, L. F. Vismari, C. B. S. T. Molina +7

Autonomous Vehicles (AV) are expected to bring considerable benefits to society, such as traffic optimization and accidents reduction. They rely heavily on advances in many Artific…