Pedro F. Proença

According to our database, Pedro F. Proença authored at least 14 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

TRADE: Object Tracking with 3D Trajectory and Ground Depth Estimates for UAVs.

Pedro F. Proença, Patrick Spieler, Robert A. Hewitt, Jeff Delaune

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Optimizing Terrain Mapping and Landing Site Detection for Autonomous UAVs.

Pedro F. Proença, Jeff Delaune, Roland Brockers

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Dense 3D-Reconstruction from Monocular Image Sequences for Computationally Constrained UAS^∗.

Matthias Domnik, Pedro F. Proença, Jeff Delaune, Jörg Thiem, Roland Brockers

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Multi-Resolution Elevation Mapping and Safe Landing Site Detection with Applications to Planetary Rotorcraft.

Pascal Schoppmann, Pedro F. Proença, Jeff Delaune, Michael Pantic, Timo Hinzmann, Larry H. Matthies, Roland Siegwart, Roland Brockers

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

TACO: Trash Annotations in Context for Litter Detection.

Pedro F. Proença, Pedro Simões

CoRR, 2020

Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering.

Pedro F. Proença, Yang Gao

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2018

Probabilistic RGB-D odometry based on points, lines and planes under depth uncertainty.

Pedro F. Proença, Yang Gao

Robotics Auton. Syst., 2018

Fast Cylinder and Plane Extraction from Depth Cameras for Visual Odometry.

Pedro F. Proença, Yang Gao

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry.

Pedro F. Proença, Yang Gao

Proceedings of the Towards Autonomous Robotic Systems - 18th Annual Conference, 2017

SPLODE: Semi-probabilistic point and line odometry with depth estimation from RGB-D camera motion.

Pedro F. Proença, Yang Gao

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Shape Retrieval of Low-Cost RGB-D Captures.

Pedro B. Pascoal, Pedro F. Proença, Filipe Gaspar, Miguel Sales Dias, Alfredo Ferreira, Atsushi Tatsuma, Masaki Aono, K. Berker Logoglu, Sinan Kalkan, Alptekin Temizel, Bo Li, Henry Johan, Yijuan Lu, Viktor Seib, Norman Link, Dietrich Paulus

Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016

2015

Good Appearance and 3D Shape Descriptors for Object Category Recognition.

Pedro F. Proença, Filipe Gaspar, Miguel Sales Dias

Int. J. Artif. Intell. Tools, 2015

Retrieval of Objects Captured with Kinect One Camera.

Pedro B. Pascoal, Pedro F. Proença, Filipe Gaspar, Miguel Sales Dias, Luís Filipe Teixeira, Alfredo Ferreira, Viktor Seib, Norman Link, Dietrich Paulus, Atsushi Tatsuma, Masaki Aono

Proceedings of the 8th Eurographics Workshop on 3D Object Retrieval, 2015

2013

Good Appearance and Shape Descriptors for Object Category Recognition.

Pedro F. Proença, Filipe Gaspar, Miguel Sales Dias

Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013