Iago Pachêco Gomes

Orcid: 0000-0002-4184-4440

According to our database1, Iago Pachêco Gomes authored at least 24 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Review on Multi-Scenario Decision-Making for Urban Autonomous Driving.
IEEE Access, 2026

2025
A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving.
Neurocomputing, 2025

Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads.
Expert Syst. Appl., 2025

Comparative Analysis of Transformer-Based Segmentation Networks for Off-Road Scenes.
Proceedings of the IEEE International Conference on Advanced Robotics, 2025

A Comparative Analysis of Class Imbalance-Aware Loss Functions for Semantic Segmentation of Off-road Scenarios for Autonomous Vehicles.
Proceedings of the IEEE International Conference on Advanced Robotics, 2025

EPiCS - Expert-based Point Cloud Segmentation of Off-Road LiDAR Point Clouds Using Graph Neural Networks.
Proceedings of the IEEE International Conference on Advanced Robotics, 2025

2024
Integrating Modular Pipelines with End-to-End Learning: A Hybrid Approach for Robust and Reliable Autonomous Driving Systems.
Sensors, April, 2024

Driving Style Recognition Using Interval Type-2 Fuzzy Inference System and Multiple Experts Decision-Making.
Int. J. Fuzzy Syst., 2024

2023
Scheduling System for Multiple Self-driving Cars Using K-Means and Bio-inspired Optimization Algorithms.
SN Comput. Sci., September, 2023

Autonomous driving of trucks in off-road environment.
CoRR, 2023

Evaluation of Point Cloud Data Augmentation for 3D-LiDAR Object Detection in Autonomous Driving.
Proceedings of the Robot 2023: Sixth Iberian Robotics Conference, 2023

Interaction-aware Maneuver Prediction for Autonomous Vehicles using Interaction Graphs.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Interaction-Aware Maneuver Intention Prediction Using Gated Mixture-of-Experts Attention Mechanism.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Late-Fusion Multimodal Human Detection Based on RGB and Thermal Images for Robotic Perception.
Proceedings of the European Conference on Mobile Robots, 2023

2022
Sparse Road Network Model for Autonomous Navigation Using Clothoids.
IEEE Trans. Intell. Transp. Syst., 2022

Route Scheduling System for Multiple Self-driving Cars Using K-means and Bio-inspired Algorithms.
Proceedings of the Engineering Applications of Neural Networks, 2022

2021
Health Monitoring System for Autonomous Vehicles using Dynamic Bayesian Networks for Diagnosis and Prognosis.
J. Intell. Robotic Syst., 2021

2020
A Software Architecture for Autonomous Vehicles: Team LRM-B Entry in the First CARLA Autonomous Driving Challenge.
CoRR, 2020

2019
Advanced Driver Assistance System Based on NeuroFSM Applied in the Detection of Autonomous Human Faults and Support to Semi-Autonomous Control for Robotic Vehicles.
Proceedings of the Latin American Robotics Symposium, 2019

Fuzzy System for Obstacle Detection and Avoidance for Mobile Robot.
Proceedings of the Latin American Robotics Symposium, 2019

End-to-End Deep Learning Applied in Autonomous Navigation using Multi-Cameras System with RGB and Depth Images.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

A Health Monitoring System with Hybrid Bayesian Network for Autonomous Vehicle.
Proceedings of the 19th International Conference on Advanced Robotics, 2019

2018
Diagnostic Analysis for an Autonomous Truck Using Multiple Attribute Decision Making.
Proceedings of the Latin American Robotic Symposium, 2018

2017
Web Environment for Programming and Control of a Mobile Robot in a Remote Laboratory.
IEEE Trans. Learn. Technol., 2017


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