Paulo Ricardo Marques de Araujo

Orcid: 0000-0002-8027-5578

According to our database1, Paulo Ricardo Marques de Araujo authored at least 14 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
IPRPAS: A Dataset of Physical Adversarial Samples for Assessing Object Detection in Intelligent Vehicles.
IEEE Internet Things J., June, 2025

Look to Locate: Vision-Based Multisensory Navigation with 3-D Digital Maps for GNSS-Challenged Environments.
CoRR, June, 2025

TRATSS: Transformer-Based Task Scheduling System for Autonomous Vehicles.
CoRR, April, 2025

The NavINST Dataset for Multi-Sensor Autonomous Navigation.
IEEE Access, 2025

Comparative Study of Traditional and Deep Learning Feature Detectors and Matchers for Land Vehicle Monocular Visual Odometry.
Proceedings of the IEEE International systems Conference, 2025

2024
Smart Mobility: Leveraging Perception Sensors for Map-Based Navigation in Autonomous Vehicles.
Proceedings of the IEEE International Conference on Smart Mobility, 2024

Multi-IMU and mmWave Radar Integration for Robust Land Vehicle Navigation.
Proceedings of the 6th International Conference on Communications, 2024

Navigating Signal Outages: Radar-Augmented 5G mmWave Wireless Positioning for Land Vehicles.
Proceedings of the 6th International Conference on Communications, 2024

Continuous Action Learning Automata: A Strategy for Dynamic Optimization of Invariant Kalman Filter Covariances.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

2023
A Novel Method for Land Vehicle Positioning: Invariant Kalman Filters and Deep-Learning-Based Radar Speed Estimation.
IEEE Trans. Intell. Veh., September, 2023

Robust Land Vehicle Positioning with Invariant Kalman Filters and Map-Based Corrections.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2021
Cloud-based approach for automatic CNC workpiece origin localization based on image analysis.
Robotics Comput. Integr. Manuf., 2021

2020
In-Process Tool Wear Measurement System Based on Image Analysis for CNC Drilling Machines.
IEEE Trans. Instrum. Meas., 2020

In-process machine vision monitoring of tool wear for Cyber-Physical Production Systems.
Robotics Comput. Integr. Manuf., 2020


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