André Mateus

Orcid: 0000-0003-1044-4150

Affiliations:
  • Ericsson Research, Stockholm, Sweden
  • University of Lisbon, IST, Portugal (PhD 2022)


According to our database1, André Mateus authored at least 15 papers between 2015 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Snail: Secure Single Iteration Localization.
CoRR, 2024

2023
Fast and Accurate 3D Registration from Line Intersection Constraints.
Int. J. Comput. Vis., August, 2023

Demo: Privacy-Preserving Localization for Edge-Assisted Robotic Navigation.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

2022
On Incremental Structure from Motion Using Lines.
IEEE Trans. Robotics, 2022

An observer cascade for velocity and multiple line estimation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2020
Minimal Solvers for 3D Scan Alignment With Pairs of Intersecting Lines.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Efficient and robust Pedestrian Detection using Deep Learning for Human-Aware Navigation.
Robotics Auton. Syst., 2019

Project INSIDE: towards autonomous semi-unstructured human-robot social interaction in autism therapy.
Artif. Intell. Medicine, 2019

Active Estimation of 3D Lines in Spherical Coordinates.
Proceedings of the 2019 American Control Conference, 2019

2018
Active Structure-from-Motion for 3D Straight Lines.
CoRR, 2018

Active Structure-from-Motion for 3D Straight LinesBehaviors* This work was partially supported by the Portuguese FCT grants PD/Bd/135015/2017 (through the NETSys Doctoral Program) & SFRH/BPD/111495/2015, and ISRILARSyS Strategic Funding by the FCT project PEst-OE/EEI/LA0009/2013.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
A real-time Deep Learning pedestrian detector for robot navigation.
Proceedings of the 2017 IEEE International Conference on Autonomous Robot Systems and Competitions, 2017

2016
A Real-Time Pedestrian Detector using Deep Learning for Human-Aware Navigation.
CoRR, 2016

Non-Central Catadioptric Cameras Pose Estimation using 3D Lines.
CoRR, 2016

2015
Human-Aware Navigation Using External Omnidirectional Cameras.
Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015


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