Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Gijs Dubbelman"'
Publikováno v:
SN Applied Sciences, Vol 4, Iss 7, Pp 1-18 (2022)
Abstract Cooperative automated vehicle software needs to use advanced software engineering design methodologies to manage the complexity of distributed software. This article presents a design model of a stereo vision system for cooperative automated
Externí odkaz:
https://doaj.org/article/399ba7015fe744699fc2bd9ded15e370
Publikováno v:
Sensors, Vol 21, Iss 8, p 2815 (2021)
In this work, we propose and evaluate a pose-graph optimization-based real-time multi-sensor fusion framework for vehicle positioning using low-cost automotive-grade sensors. Pose-graphs can model multiple absolute and relative vehicle positioning se
Externí odkaz:
https://doaj.org/article/48a63a55267e43449ae7356997c6472b
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 499-508
STARTPAGE=499;ENDPAGE=508;TITLE=2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
STARTPAGE=499;ENDPAGE=508;TITLE=2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
For autonomous vehicles and mobile robots to safely operate in the real world, i.e., the wild, scene understanding models should perform well in the many different scenarios that can be encountered. In reality, these scenarios are not all represented
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49eb9e7aa818a3bc1f9d9ccfda5c211c
https://research.tue.nl/nl/publications/b8e048cd-673f-4f2b-b28f-ccea1825992d
https://research.tue.nl/nl/publications/b8e048cd-673f-4f2b-b28f-ccea1825992d
Autor:
Daan de Geus, Gijs Dubbelman
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 3164-3172
STARTPAGE=3164;ENDPAGE=3172;TITLE=2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
STARTPAGE=3164;ENDPAGE=3172;TITLE=2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Unified panoptic segmentation methods are achieving state-of-the-art results on several datasets. To achieve these results on high-resolution datasets, these methods apply crop-based training. In this work, we find that, although crop-based training
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57846fbf2ddf7b970abd609020ea900d
https://research.tue.nl/en/publications/59ad1e24-1a99-4589-bf51-cf780adcd427
https://research.tue.nl/en/publications/59ad1e24-1a99-4589-bf51-cf780adcd427
Publikováno v:
IEEE Robotics and Automation Letters, 8(2), 848-855. Institute of Electrical and Electronics Engineers
Learning to predict the trajectories of pedestrians is essential for improving safety and efficiency of mobile robots. The prediction is challenging since the robot needs to operate in multiple environments in which the motion patterns of pedestrians
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e03cccf5fa93820eac0b980949cf3713
https://research.tue.nl/nl/publications/522398a2-de7d-42c8-8265-a473aee5855b
https://research.tue.nl/nl/publications/522398a2-de7d-42c8-8265-a473aee5855b
Publikováno v:
Machine Learning. Springer
In this paper, we define a novel inverse reinforcement learning (IRL) problem where the demonstrations are multi-intention, i.e., collected from multi-intention experts, unlabeled, i.e., without intention labels, and partially overlapping, i.e., shar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e55b8c20b904c705347e9223e4585564
https://research.tue.nl/nl/publications/73927077-49e5-4b0d-8056-daec6f6b7317
https://research.tue.nl/nl/publications/73927077-49e5-4b0d-8056-daec6f6b7317
Publikováno v:
Machine Learning, 112(2), 429-430. Springer
Correction to: Machine Learning https://doi.org/10.1007/s10994-022-06273-x There are two mistakes in the published article: 1. One of the references in the manuscript is incorrect. Here is the incorrect reference: “Bighashdel, A., Meletis, P., Janc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1705b5a2cbfe8af7be0ff980421ec66f
https://doi.org/10.1007/s10994-022-06298-2
https://doi.org/10.1007/s10994-022-06298-2
Autor:
Gijs Dubbelman, Jan W. M. Bergmans, Jean-Paul M. G. Linnartz, Erik H. A. Duisterwinkel, H.J. Wörtche, Elena Talnishnikh
Publikováno v:
IEEE sensors journal, 20(8), 4442-4452. IEEE Computer Society
IEEE Sensors Journal, 20(8):8935185, 4442-4452. Institute of Electrical and Electronics Engineers
IEEE Sensors Journal, 20(8):8935185, 4442-4452. Institute of Electrical and Electronics Engineers
This paper extends the 'go-with-the-flow' method to explore enclosed environments, like oil reservoirs, pipe lines that transport liquids, and industrial tanks for processing chemicals, where sensing nodes cannot establish communication with the exte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8512109a8f3f30d64145dc794820f3e
https://research.tue.nl/en/publications/2321b7b8-409b-4bf8-8f30-f731534b7697
https://research.tue.nl/en/publications/2321b7b8-409b-4bf8-8f30-f731534b7697
Autor:
David Betaille, Gijs Dubbelman, Oihana Otaegui, Gorka Velez, Anweshan Das, Axel Koppert, Benedict Flade, Julian Eggert
Publikováno v:
IEEE Intelligent Transportation Systems Magazine, 12(3):9115612, 70-80. Institute of Electrical and Electronics Engineers
The lane-level localization of vehicles with low-cost sensors is a challenging task. In situations in which Global Navigation Satellite Systems (GNSSs) suffer from weak observation geometry or from the influence of reflected signals, the fusion of he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b030443d047949c578c9774ae19ccd86
https://doi.org/10.1109/mits.2020.2994055
https://doi.org/10.1109/mits.2020.2994055