Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Silviu Bota"'
Autor:
Florin Oniga, Tiberiu Marita, Silviu Bota, Ciprian Pocol, Sergiu Nedevschi, Cristian Vance, Radu Danescu
Publikováno v:
Stereo Vision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa94de60a5eb365cf22510ed090a99df
http://www.intechopen.com/articles/show/title/a_sensor_for_urban_driving_assistance_systems_based_on_dense_stereovision
http://www.intechopen.com/articles/show/title/a_sensor_for_urban_driving_assistance_systems_based_on_dense_stereovision
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 10:380-391
Pedestrians are the most vulnerable participants in urban traffic. The first step toward protecting pedestrians is to reliably detect them. We present a new approach for standing- and walking-pedestrian detection, in urban traffic conditions, using g
Autor:
Sergiu Nedevschi, Silviu Bota
Publikováno v:
ITSC
Stereo vision based sensors provide large amounts of data, a fact which is advantageous when trying to extract semantic information about the imaged scene. However, this data is corrupted by errors, caused especially by the uncertainties in the stere
Autor:
Silviu Bota, Sergiu Nedevschi
Publikováno v:
ICCP
Stereo vision based sensors provide large amounts of data, a fact which is advantageous when trying to extract semantic information about the imaged scene. However, this data is corrupted by errors, caused especially by the uncertainties in the stere
Publikováno v:
ICCP
In this paper we introduce a system for semantic understanding of traffic scenes. The system detects objects in video images captured in real vehicular traffic situations, classifies them, maps them to the OpenCyc1 ontology and finally generates desc
Autor:
Florin Oniga, Silviu Bota, Radu Danescu, Cosmin D. Pantilie, Catalin Golban, Sergiu Nedevschi, Marius Drulea, Istvan Haller, Tiberiu Marita
Publikováno v:
Advanced Microsystems for Automotive Applications 2010 ISBN: 9783642126475
The problem of on-board intersection perception and modeling is complex and requires a wide field of view, dense and accurate data acquisition and processing, robust object detection and classification and fast response time. This goal can be achieve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5e5410982ecbf55d8c78ba5fa8cbea0
https://doi.org/10.1007/978-3-642-16362-3_25
https://doi.org/10.1007/978-3-642-16362-3_25
Publikováno v:
2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing.
Driving assistance systems provide either safety or comfort functions. Such systems must evaluate the state of the world and take necessary actions. A preliminary step for evaluating the state of the world is to detect, track and classify scene objec
Publikováno v:
2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing.
This paper presents the specifications and architecture for a stereovision sensor to be used in intersection assistance. The intersection problem imposes a wide field of view, reasonable accuracy for the typical intersection length, and fast response
Publikováno v:
2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing.
There are many approaches to pedestrian detection in collision avoidance systems depending on the sensors (visible light, thermal infrared, RADAR, LASER scanner) used for acquiring the data and the features (depth, shape, motion) used for detection.
Autor:
Ciprian Pocol, Sergiu Nedevschi, Tiberiu Marita, M.M. Meinecke, Florin Oniga, Silviu Bota, Radu Danescu, Marian Andrzej Obojski
Publikováno v:
Advanced Microsystems for Automotive Applications 2009 ISBN: 9783642007446
The intersection scenario imposes radical changes in the physical setup and in the processing algorithms of a stereo sensor. Due to the need for a wider field of view, which comes with distortions and reduced depth accuracy, increased accuracy in cal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86473ade9b7d9f28ed696061c23507db
https://doi.org/10.1007/978-3-642-00745-3_10
https://doi.org/10.1007/978-3-642-00745-3_10