Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Pedro P. B. de Gusmao"'
Autor:
Andrew Markham, Changhao Chen, Stefano Rosa, Niki Trigoni, Wei Wang, Pedro P. B. de Gusmao, Yasin Almalioglu, Chris Xiaoxuan Lu, Muhamad Risqi U. Saputra, Johan Wahlstrom
Publikováno v:
IEEE Robotics and Automation Letters
Visual odometry shows excellent performance in a wide range of environments. However, in visually-denied scenarios (e.g. heavy smoke or darkness), pose estimates degrade or even fail. Thermal cameras are commonly used for perception and inspection wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31a7cb83703e5093d0502210370e01f6
https://doi.org/10.1109/lra.2020.2969170
https://doi.org/10.1109/lra.2020.2969170
Autor:
Pedro P. B. de Gusmao, Chris Xiaoxuan Lu, Niki Trigoni, Bing Wang, Andrew Markham, Muhamad Risqi U. Saputra
Publikováno v:
Saputra, M R U, Lu, C X, de Gusmao, P P B, Wang, B, Markham, A & Trigoni, N 2022, ' Graph-Based Thermal–Inertial SLAM With Probabilistic Neural Networks ', IEEE Transactions on Robotics, vol. 38, no. 3, pp. 1875-1893 . https://doi.org/10.1109/TRO.2021.3120036
Simultaneous Localization and Mapping (SLAM) system typically employ vision-based sensors to observe the surrounding environment. However, the performance of such systems highly depends on the ambient illumination conditions. In scenarios with advers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::411e62e5164116b2987fba155074c6da
http://arxiv.org/abs/2104.07196
http://arxiv.org/abs/2104.07196
Publikováno v:
ICRA
Relocalization is a fundamental task in the field of robotics and computer vision. There is considerable work in the field of deep camera relocalization, which directly estimates poses from raw images. However, learning-based methods have not yet bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::134f371c0bfa8a91e4347ac0e2e05e28
Autor:
Pedro P. B. de Gusmao, Peijun Zhao, Muhamad Risqi U. Saputra, Andrew Markham, Changhao Chen, Yasin Almalioglu, Ke Sun, Chris Xiaoxuan Lu, Niki Trigoni
Publikováno v:
Lu, C X, Saputra, M R U, Zhao, P, Almalioglu, Y, de Gusmao, P P B, Chen, C, Sun, K, Trigoni, N & Markham, A 2020, MilliEgo: Single-Chip MmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion . in Proceedings of the 18th Conference on Embedded Networked Sensor Systems . New York, NY, USA, pp. 109–122, 18th ACM Conference on Embedded Networked Sensor Systems, Yokohama, Japan, 16/11/20 . https://doi.org/10.1145/3384419.3430776
SenSys
SenSys
Robust and accurate trajectory estimation of mobile agents such as people and robots is a key requirement for providing spatial awareness for emerging capabilities such as augmented reality or autonomous interaction. Although currently dominated by o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::421dfad29ec85eaecba02d2e86779761
Autor:
Pedro P. B. de Gusmao, Niki Trigoni, Manon Kok, Traian E. Abrudan, Johan Wahlstrom, Andrew Markham
Publikováno v:
IEEE Sensors Journal, 20(1)
Magneto-inductive navigation is an inexpensive and easily deployable solution to many of today's navigation problems. By utilizing very low frequency magnetic fields, magneto-inductive technology circumvents the problems with attenuation and multipat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4288bc144a7230f73763b6ca68ed0ebb
http://resolver.tudelft.nl/uuid:fdac3555-ac3f-40a3-bdce-b181278ad96c
http://resolver.tudelft.nl/uuid:fdac3555-ac3f-40a3-bdce-b181278ad96c
Autor:
Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Yasin Almalioglu, Andrew Markham, Niki Trigoni
Publikováno v:
ICCV
This paper presents a novel method to distill knowledge from a deep pose regressor network for efficient Visual Odometry (VO). Standard distillation relies on "dark knowledge" for successful knowledge transfer. As this knowledge is not available in p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c1be124c11da9ce0eddb9b68f0e700a
https://doi.org/10.1109/iccv.2019.00035
https://doi.org/10.1109/iccv.2019.00035
Publikováno v:
DCOSS
Real-time positioning of emergency personnel has been an active research topic for many years. However, studies on how to improve navigation accuracy by using prior information on the idiosyncratic motion characteristics of firefighters are scarce. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1543c01e858e5a2c97cce330b0f4b76f
https://doi.org/10.1109/dcoss.2019.00027
https://doi.org/10.1109/dcoss.2019.00027
Publikováno v:
ICRA
Inspired by the cognitive process of humans and animals, Curriculum Learning (CL) trains a model by gradually increasing the difficulty of the training data. In this paper, we study whether CL can be applied to complex geometry problems like estimati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99460744008b6854788065d88d6c7f92
http://arxiv.org/abs/1903.10543
http://arxiv.org/abs/1903.10543
Autor:
Pedro P. B. de Gusmao, Wei Wang, Peijun Zhao, Changhao Chen, Muhamad Risqi U. Saputra, Andrew Markham, Bo Yang, Niki Trigoni
Publikováno v:
IROS
Odometry is of key importance for localization in the absence of a map. There is considerable work in the area of visual odometry (VO), and recent advances in deep learning have brought novel approaches to VO, which directly learn salient features fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc5890e12db6de333c30b27d58c45773
Autor:
Yasin Almalioglu, Pedro P. B. de Gusmao, Niki Trigoni, Muhamad Risqi U. Saputra, Andrew Markham
Publikováno v:
ICRA
In the last decade, supervised deep learning approaches have been extensively employed in visual odometry (VO) applications, which is not feasible in environments where labelled data is not abundant. On the other hand, unsupervised deep learning appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adedb3bc07095ca0ab6702ce27fb5b74