Zobrazeno 1 - 10
of 85
pro vyhledávání: '"David Van Hamme"'
Autor:
Silvia Paoletti, Bob Rumes, Nino Pierantonio, Simone Panigada, Romain Jan, Thomas Folegot, Anita Schilling, Nicolas Riviere, Vincent Carrier, Antoine Dumoulin, David Van Hamme, Gildas Marquis-Laisné, François-Antoine Bruliard, Félix Petitpierre, Damien Demoor
Publikováno v:
Research Ideas and Outcomes, Vol 9, Iss , Pp 1-19 (2023)
With the continuous intensification of marine traffic worldwide, whale-vessel collisions at sea (or “ship strikes”) have become one of the primary causes of mortality for cetaceans and a widely recognised cause of concern for human safety and eco
Externí odkaz:
https://doaj.org/article/6b6057c3b3cc45b0b1b10f5a362dd3c8
Publikováno v:
Sensors, Vol 23, Iss 20, p 8507 (2023)
High dynamic range (HDR) imaging technology is increasingly being used in automated driving systems (ADS) for improving the safety of traffic participants in scenes with strong differences in illumination. Therefore, a combination of HDR video, that
Externí odkaz:
https://doaj.org/article/65ab417d052746099670f43042415e6c
Publikováno v:
Sensors, Vol 23, Iss 12, p 5767 (2023)
Intelligent driver assistance systems are becoming increasingly popular in modern passenger vehicles. A crucial component of intelligent vehicles is the ability to detect vulnerable road users (VRUs) for an early and safe response. However, standard
Externí odkaz:
https://doaj.org/article/3078cec522564a53b502ccf90b9a5aea
Publikováno v:
Sensors, Vol 22, Iss 22, p 8637 (2022)
Pedestrian detection is an important research domain due to its relevance for autonomous and assisted driving, as well as its applications in security and industrial automation. Often, more than one type of sensor is used to cover a broader range of
Externí odkaz:
https://doaj.org/article/661df15a5685445d9b3d689a53502835
Publikováno v:
Sensors; Volume 23; Issue 12; Pages: 5767
Intelligent driver assistance systems are becoming increasingly popular in modern passenger vehicles. A crucial component of intelligent vehicles is the ability to detect vulnerable road users (VRUs) for an early and safe response. However, standard
Publikováno v:
Sensors, Vol 20, Iss 17, p 4817 (2020)
This paper presents a vulnerable road user (VRU) tracking algorithm capable of handling noisy and missing detections from heterogeneous sensors. We propose a cooperative fusion algorithm for matching and reinforcing of radar and camera detections usi
Externí odkaz:
https://doaj.org/article/ac1305bf6e5e4f40888166621208cb2f
Publikováno v:
Sensors, Vol 19, Iss 12, p 2668 (2019)
In this paper, we describe a robust method for compensating the panning and tilting motion of a camera, applied to foreground−background segmentation. First, the necessary internal camera parameters are determined through feature-point extraction a
Externí odkaz:
https://doaj.org/article/9ea89cb8e625471ba7e3d0cb299b794d
Autor:
Carlos T. Calafate, Juan-Carlos Cano, Subhadeep Patra, David Van Hamme, Peter Veelaert, Willian Zamora, Pietro Manzoni
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] In this paper we present a smartphone-based real-time video overtaking architecture for vehicular networks. The developed application aims to prevent head-on collisions that might occur due to attempts to overtake when the view of the driver is
Publikováno v:
IEEE SENSORS 2022, Proceedings
This paper proposes a novel sensor fusion method capable of detection and tracking of road users under nominal as well as in border cases of system operation. The proposed method is based on a sensor-agnostic Bayesian late fusion framework, augmented
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25ce7d26867e2abe26697afa7d6286ad
https://biblio.ugent.be/publication/8766228
https://biblio.ugent.be/publication/8766228
Autor:
Peter Veelaert, Dimitri Van Cauwelaert, Maarten Slembrouck, David Van Hamme, Wilfried Philips
Publikováno v:
Integrated Computer-Aided Engineering. 26:257-271