Pedro F. Proença
Pedro F. Proença
NASA Jet Propulsion Laboratory
jpl.nasa.gov üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Deep learning for spacecraft pose estimation from photorealistic rendering
PF Proença, Y Gao
2020 IEEE International Conference on Robotics and Automation (ICRA), 6007-6013, 2020
372020
Probabilistic RGB-D Odometry based on Points, Lines and Planes Under Depth Uncertainty
PF Proença, Y Gao
Robotics and Autonomous Systems 104, 25–39, 2018
272018
TACO: Trash annotations in context for litter detection
PF Proença, P Simões
arXiv preprint arXiv:2003.06975, 2020
212020
Designing better spaces for people
MS Dias, S Eloy, M Carreiro, P Proença, A Moural, T Pedro, J Freitas, ...
CUMINCAD, 2014
132014
SHREC’15 Track: Retrieval of Oobjects captured with kinect one camera
P Proença, F Gaspar, J Dias
SHREC’15 Track: Retrieval of Oobjects captured with kinect one camera, 145-151, 2015
122015
Fast Cylinder and Plane Extraction from Depth Cameras for Visual Odometry
PF Proença, Y Gao
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
112018
Space Perception in Virtual Environments-On how biometric sensing in virtual environments may give architects users's feedback
MS Dias, S Eloy, M Carreiro, E Vilar, S Marques, A Moural, P Proênça, ...
CUMINCAD, 2014
102014
Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry
PF Proença, Y Gao
Towards Autonomous Robotic Systems (TAROS), 2017
82017
SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation from RGB-D Camera Motion
PF Proença, Y Gao
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
72017
TACO: Trash Annotations in Context for Litter Detection. arXiv 2020
PF Proença, P Simões
arXiv preprint arXiv:2003.06975, 0
6
Good Appearance and Shape Descriptors for Object Category Recognition
PF Proença, F Gaspar, MS Dias
International Symposium on Visual Computing (ISVC), 2013
52013
Ground-based high-DoF AI and robotics demonstrator for in-orbit space optical telescope assembly
Z Hao, N Mavrakis, P Proenca, RG Darnley, S Fallah, M Sweeting, Y Gao
Congress IAC 19-paper arcive, 2019
42019
SHREC'16 track: Shape retrieval of low-cost RGB-D captures
PB Pascoal, P Proença, F Gaspar, MS Dias, A Ferreira, A Tatsuma, ...
SHREC'16 track: Shape retrieval of low-cost RGB-D captures, 69-78, 2016
22016
Dense 3D-Reconstruction From Monocular Image Sequences for Computationally Constrained UAS
M Domnik, P Proenca, J Delaune, J Thiem, R Brockers
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
12021
Robust RGB-D Odometry under Depth Uncertainty for Structured Environments
PF Proenca
PQDT-Global, 2018
12018
Object Category Recognition through RGB-D Data
PF Proença
MSc Thesis, ISCTE-IUL, 2013
12013
Autonomous Safe Landing Site Detection for a Future Mars Science Helicopter
R Brockers, J Delaune, P Proença, P Schoppmann, M Domnik, G Kubiak, ...
2021 IEEE Aerospace Conference (50100), 1-8, 2021
2021
Good Appearance and 3D Shape Descriptors for Object Category Recognition
PF Proença, F Gaspar, MS Dias
International Journal on Artificial Intelligence Tools 24 (4), 1540017, 2015
2015
Multi-Resolution Elevation Mapping and Safe Landing Site Detection with Applications to Planetary Rotorcraft
P Schoppmann, PF Proença, J Delaune, M Pantic, T Hinzmann, ...
SHREC’15 Track: Retrieval of Objects Captured with Kinect One Camera
PB Pascoal, P Proença, F Gaspar, MS Dias, F Teixeira, A Ferreira, V Seib, ...
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Makaleler 1–20