Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Siavash Hosseinyalamdary"'
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 4, Iss 3, Pp 1301-1316 (2015)
Monitoring vehicular road traffic is a key component of any autonomous driving platform. Detecting moving objects, and tracking them, is crucial to navigating around objects and predicting their locations and trajectories. Laser sensors provide an ex
Externí odkaz:
https://doaj.org/article/0adbf74f27c747c4b0ed0a132c0e3460
Publikováno v:
Remote Sensing, Vol 11, Iss 8, p 905 (2019)
Indoor mobile mapping systems are important for a wide range of applications starting from disaster management to straightforward indoor navigation. This paper presents the design and performance of a low-cost backpack indoor mobile mapping system (I
Externí odkaz:
https://doaj.org/article/8f31d49404664e7b945573cf1934e73a
Autor:
Siavash Hosseinyalamdary
Publikováno v:
Sensors, Vol 18, Iss 5, p 1316 (2018)
Bayes filters, such as the Kalman and particle filters, have been used in sensor fusion to integrate two sources of information and obtain the best estimate of unknowns. The efficient integration of multiple sensors requires deep knowledge of their e
Externí odkaz:
https://doaj.org/article/a224aa2caa6e4ce0b9aeb8f7c7dfb205
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 5, Iss 1, p 3 (2016)
This paper proposes a method for combining stereo visual odometry, Light Detection And Ranging (LiDAR) odometry and reduced Inertial Measurement Unit (IMU) including two horizontal accelerometers and one vertical gyro. The proposed method starts with
Externí odkaz:
https://doaj.org/article/b2e78fb6a41c45e28434e945d3d63880
Autor:
Siavash Hosseinyalamdary, Thijs Evers, Erik Matel, Faridaddin Vahdatikhaki, Johannes T. Voordijk
Publikováno v:
International journal of construction management, 22(7), 1274-1287. Taylor & Francis
In a globally competitive world, with diminishing profit margins and decreasing market shares, the cost of a project is one of the major criteria in decision making at the early stages of a building design process in the construction industry. To rem
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-1, Pp 85-92 (2018)
The necessity for the modelling of building interiors has encouraged researchers in recent years to focus on improving the capturing and modelling techniques for such environments. State-of-the-art indoor mobile mapping systems use a combination of l
Autor:
Alper Yilmaz, Siavash Hosseinyalamdary
Publikováno v:
ISPRS journal of photogrammetry and remote sensing, 125, 184-192. Elsevier
Automatic traffic light detection and mapping is an open research problem. The traffic lights vary in color, shape, geolocation, activation pattern, and installation which complicate their automated detection. In addition, the image of the traffic li
Autor:
Siavash Hosseinyalamdary
The Bayes filters, such as Kalman and particle filters, have been used in sensor fusion to integrate two sources of information and obtain the best estimate of the unknowns. Efficient integration of multiple sensors requires deep knowledge of their e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d44fd072cc90ab7bcc7ad56095e391b9
https://doi.org/10.20944/preprints201803.0121.v1
https://doi.org/10.20944/preprints201803.0121.v1
Autor:
Alper Yilmaz, Siavash Hosseinyalamdary
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-1, Pp 9-16 (2014)
In most Photogrammetry and computer vision tasks, finding the corresponding points among images is required. Among many, the Lucas-Kanade optical flow estimation has been employed for tracking interest points as well as motion vector field estimation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fae36ec8b0d8e9a707e9be0b1e49ccca
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-1/9/2014/
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-1/9/2014/
Autor:
Siavash Hosseinyalamdary, Alper Yilmaz
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3-W5, Pp 151-157 (2015)
Laser scanner point cloud has been emerging in Photogrammetry and computer vision to achieve high level tasks such as object tracking, object recognition and scene understanding. However, low cost laser scanners are noisy, sparse and prone to systema