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Title: Microsoft Word - danescu-iv11.doc Author: Radu Created Date: 4/20/2011 6:20:01 P Title: Microsoft Word - danescu-itsc2010.doc Author: Radu Created Date: 7/16/2010 4:47:28 P Title: danescu-itsc-2013 Author: radu Created Date: 7/16/2013 3:17:34 PM Keywords ( Radu.danescu@cs.utcluj.ro users.utcluj.ro/~rdanescu Yahoo messenger: rdanescu Sex M | Date of birth 07/08/1978 | Nationality Romanian WORK EXPERIENCE EDUCATION AND TRAINING 01.10.2013-present day Research: modeling and tracking dynamic 3D environme surveillance. 01.10.2009 - 01.10.2013 01.10.2004-01.10.2009 Systems, Computer Architectur Radu.danescu@cs.utcluj.ro users.utcluj.ro/~rdanescu Yahoo messenger: rdanescu Sexul M | Data na şterii 07/08/1978 | Na Ńionalitatea Romana EXPERIENTA PROFESSIONALA EDUCA łIE ŞI FORMARE 01.10.2013-prezent Cercetare: modelare si urmarire medii 3D dinamice, spa 01.10.2009 - 01.10.2013.

users.utcluj.ro/~rdanescu Sexul M | Data naşterii / / | Naţionalitatea Romana EXPERIENTA PROFESSIONALA POSTUL POZIŢIA 1 Profesor universitar, Universitatea Tehnica din Cluj-Napoca 2 01.10.2017-prezent Universitatea Tehnica din Cluj 01.10.2013-30.09.2017 01.10.2009 - 01.10.2013 Profesor universitar -Napoca, www.utcluj.r E-mail: radu.danescu@cs.utcluj.ro Educa Ńie, diplome şi titluri ob Ńinute: 1997-2002 - Inginer diplomat în Ştiin Ńa Calculatoarelor, Universitatea Tehnic ă din Cluj-Napoc

Image Processing and Pattern Recognition Group - cv

  1. Radu.danescu@cs.utcluj.ro users.utcluj.ro/~rdanescu Skype: radu.danescu.utcn Sexul M | Data naşterii 07/08/1978| Naţionalitatea Romana EXPERIENTA PROFESSIONALA 01.10.2017-prezent Universitatea Tehnica din Cluj Curs si laborator: Procesarea imaginilor, Proiectare cu microprocesoare Cercetare: modelare si urmarire medii 3D 01.10.2013-01.10.201
  2. ars/ laboratory/ project Conf.dr.ing. Mihai Negru - Mihai.Negru@cs.utcluj.ro S.l. dr. ing. Razvan Itu - Razvan.Itu@cs.utcluj.ro 2.4 Year of study III r2.5 Semeste
  3. Radu.danescu@cs.utclui.ro O users.utclui.ro/-rdanescu Sexul M I Data 07/081978 | Nationalitatea Romana Profesor universitar, Universitatea Tehnica din Cluj-Napoca 12 Universitatea Tehnica din Cluj-Napoca, www.utcluj.ro Laborator/proiect: procesarea imaginilor, Proiectarea cu microprocesoare, Sisteme de recunoa;tere 01.10.2009 - 01.10201

Welcome to the Image Processing and Pattern Recognition Group's home pag Vatavu, R. Danescu, S. Nedevschi, Stereovision-Based Multiple Object Tracking in Traffic Scenarios Using Free- Form Obstacle Delimiters and Particle Filters, IEEE Transactions on Intelligent Transportation Systems , Vol. 16, No Developing a method for real-time detection and isolation of circulating tumor cells from the bloodstream of cancer patients by means of image processin C2.5 - Implementation of hardware, software and communication components C5 - Designing, managing the lifetime cycle, integrating and ensuring the integrity of hardware, software and communication systems (3 credits) C5.1 - Specifying the relevant criteria regarding the lifetime cycle, quality, security and computing system [s interaction with the environment and human operato

CTC-VideoScope - Partner 1 (UTCN

www.cv.utcluj.ro Machine learning based automatic extrinsic calibration of an onboard monocular camera for driving assistance applications on smart mobile devices Razvan Itu, Radu Danescu Technical University of Cluj-Napoca, Romania Image Processing and Pattern Recognition Research Center 12.09.201 2/4 C6.4 - Alegerea criteriilor şi metodelor de evaluare a calităţii, performanţelor şi limitelor sistemelor inteligente C6.5 - Dezvoltarea şi implementarea de proiecte profesionale pentru sisteme inteligente 6.2 ompetenţe transversale N/A 7. Obiectivele disciplinei 7.1 Obiectivul general al disciplinei Intelegerea conceptelor legate de imagini, viziune artificiala si procesare Radu Danescu, Sergiu Nedevschi Probabilistic Lane Tracking in Difficult Road Scenarios Using Stereovision, IEEE Transactions on Intelligent Transportation Systems, vol. 10, No. 2, June 2009, pp. 272-282. 3.064 2 43.14 2 R. Danescu, F. Oniga, S. Nedevschi Modeling and Tracking the Driving Environment with a Particl

Corpus ID: 34764036. Camera Calibration Method for Stereo Measurements @article{Nedevschi2002CameraCM, title={Camera Calibration Method for Stereo Measurements}, author={S. Nedevschi and T. Mariţa and M. Vaida and R. Danescu and D. Frentiu and F. Oniga and C. Pocol and C. Daicoviciu}, journal={Journal of Control Engineering and Applied Informatics}, year={2002}, volume={4}, pages={21-28} 2.3 Responsabil de curs Conf.dr.ing. Radu Danescu - radu.danescu@cs.utcluj.ro 2.4 Titularul activităţilor de seminar/ laborator/ proiect Conf.dr.ing. Radu Danescu - radu.danescu@cs.utcluj.ro As. Ing. Razvan Itu - razvan.itu@cs.utcluj.ro 2.5 Anul de studii III 2.6 5Semestrul 2.7 Evaluarea Examen 2.8 Regimul disciplinei DD/OB 3 technique, requiring minimum user input (O2) O3. Stereovision for head and face tracking A2.2. Improving the stereovision algorithms for accurate measurement of the human face (O3) O4. Head geometry and pose modeling and tracking using stereo information A1.4. Design of models for head geometry and position, and for facial features (O4) A2.3

[PDF] Camera Calibration Method for Stereo Measurements

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper presents a robust lane marking detection algorithm suited for a large variety of traffic scenarios, under various lighting conditions. The algorithm detects dark-light-dark transitions using an improved method for horizontal gradient computation, which accounts for the expected marking width and for the. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstracl-This paper presents a 3D lane detection method based on stereovision. The stereovision algorithm allows the elimination of the common assumptions: flat road, constant pitch angle or absence of roll angle. Moreover, the availability of 3D information allows the separation between the road and the obstacle. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract: In this paper an Intelligent Vehicle Interaction System is presented. By connecting neighbor vehicles into an ad-hoc wireless network, each of them can broadcast to the others their GPS position, size and dynamic behavior, allowing them to build a dynamic map of the local traffic

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): A new approach for the stereovision problem is presented, aiming to increase the accuracy of stereo reconstruction. The proposed method is edge-based and consists of the correlation of left and right contours, detected with sub-pixel accuracy. The steps of the stereo matching process are: segmentation of each contour. Abstract. Abstract — Alignment of the stereo perception outcomes with the GPS based digital map information is the main goal of this paper. This alignment relies on discriminative sensorial landmarks as stop lines or lane markings and augmented GPS maps CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—Due to the complex nature of the driving environment, obstacle tracking systems are required to rely on intermediate dynamic information, before the obstacle is fully reconstructed. This paper presents an obstacle estimation system which uses the advantages of a particle-based occupancy grid tracking solution By Sergiu Nedevschi, Tiberiu Marita, Radu Danescu, Florin Oniga, Dan Frentiu and Ciprian Pocol Abstract ABSTRACT: A method for 3D environment reconstruction based on stereovision sensors will be presented This work was supported by CNCSIS -UEFISCSU, project number PNII -IDEI 1522/2008, and by the POSDRU program, financing contract POSDRU/89/1.5/S/62557. Radu Danescu, Florin Oniga and Sergiu Nedevschi are with the Technical University of Cluj-Napoca, Computer Science Department (e-mail: radu.danescu@cs.utcluj.ro)

CiteSeerX — Robust Real-Time Lane Delimiting Features

  1. Radu Danescu. Professor of Computer Science, Technical University of Cluj-Napoca, Romania. Verified email at cs.utcluj.ro - Homepage. Computer Vision Tracking Stereovision. Articles Cited by Public access Co-authors. Title. Sort
  2. S. Nedevschi, V. Popescu, R. Danescu, T. Marita, A Lane Assessment Method Using Visual Information Based On Dynamic Bayesian Network, accepted for publication in Journal of Curriculum Vitae Mariţa Tiberi
  3. Radu Danescu, Dan Frentiu, Tiberiu Marita, Florin Oniga, Ciprian Pocol Technical University of Cluj -Napoca Department of Computer Science rolf4.schmidt@volkswagen.de sergiu.nedevschi@cs.utcluj.ro Dr. Rolf Schmidt Dr. Thorsten Graf Volkswagen AG Group Research, Electronics thorsten.graf@volkswagen.de Abstract situations, i.e. lane
  4. ar/ laborator/ proiect CSI Dr.ing. Gheorghe Farkas - fg@guest.utcluj.ro CSI ing. Mircea Patru Prep.ing. Mihai Negru - mihai.negru@cs.utcluj.r
  5. florin.oniga@cs.utcluj.ro users.utcluj.ro/~onigaf Sexul M | Data na şterii 02/05/1978 | Na ţionalitatea Romana EXPERIENTA PROFESSIONALA LOCUL DE MUNCA PENTRU CARE SE CANDIDEAZ Ă POZI ŢIA Profesor universitar, Departamentul Calculatoare, Facultatea Automatic ăşi Calculatoare, Universitatea tehnic din Cluj-Napoca 13 2015- prezen
  6. 8. 11. 17. 11. 11. 15. 15. 10. 8. 16. 8. 9. 11. 8. 17. 10. 9. 16. 17. 12. 10. 10. 12. 8. 12. 16. 18. 8. 17. 17. 16. 16. 11. 18. 8. 11.3. 10. 9. 14:00:00. 10. 16. 16.
  7. Radu Gabriel Danescu. Image processing-laboratory work 3 : The histogram of image intensity levels. In http ://users.utcluj.ro/ rdanescu/, 2014. Recommended publications. Discover more

user input to a rule which was then used to retrieve a predefined response proved that this approach is practically Danescu-Niculescu-Mizil and Lee [10]. As a short description, the corpus contains 220,579 conversational exchanges between 10,292 pairs of movie characters and involves 9,035 characters from 617 movies. The proble Napoca, Romania (e-mail: Radu.Danescu@cs.utcluj.ro; Sergiu.Nedevschi@ cs.utcluj.ro). Color versions of one or more of the figures in this paper are available onlin

CiteSeerX — 3D Lane Detection System Based on S tereovisio

14. 10. 10. 8. 10. 9. 17. 8. 7/5/2021 17:00:00. 7/8/2021 17:00:00. 7/9/2021 14:00:00. 7/6/2021 17:00:00. 7/5/2021 09:00:00. 7/9/2021 09:00:00. 7/6/2021. 7/5/2021. 7/8. Digital elevation maps are simple yet powerful representations of complex 3-D environments. These maps can be built and updated using various sensors and sensorial data processing algorithms. This paper describes a novel approach for modeling the dynamic 3-D driving environment, the particle-based dynamic elevation map, each cell in this map having, in addition to height, a probability. Radu Danescu Smart mobile devices can be easily transformed into driving assistance tools or traffic monitoring systems. These devices are placed behind the windshield such that the camera is. AMHEOS, assoc. Prof. Radu Danescu, .partner BITNET CCSS -Cluj - Automotive Low-Noise Electrical Machines and Drives Optimal Design and Development -ALNEMAD, prof. C. Martis, partner LMS-Romania SRL -Braşov - Integrated Smart Sensor System for Monitoring of Strategic Hydrotehnical Structures

CiteSeerX — Dynamic Traffic Description Using Stereovision

CiteSeerX — Increased Accuracy Stereo Approach for 3D Lane

users.utcluj.ro/~onigaf Sexul M | Data na şterii 02/05/1978 | Na ţionalitatea Romana EXPERIENTA PROFESSIONALA 2015 - prezent 2012 - 2015 2007 - 2012 2003 - 2007 2001 - 2003 Danescu, F. Oniga, V. Turcu, O. Cristea, Long Baseline Stereovision for Automatic Detectio Detect the presence of the crossing vehicles and crossing vulnerable road users and measure their position and velocity relative to the host vehicle. Locate the host vehicle within the intersection. Sergiu.Nedevschi@cs.utcluj.ro Scientific Papers 2009 S. Nedevschi, R. Danescu, T. Marita, F. Oniga, C. Pocol, S. Bota, M-M. Meinecke, M. A.

[8] R. Danescu, S. Nedev schi, Probabilistic L ane Tracking in D ifficult Road Scenarios Using Stereovision, IEEE Transactions on Intelligent Transportation Systems , vol. 10, No. 2, June. Real-Time Detection of Road Markings for Driving Assistance Applications Ioana Maria Chira, Ancuta Chibulcutean Radu Gabriel Danescu Students, Faculty of Automation and Computer Science Computer Science Department Technical University of Cluj-Napoca Technical University of Cluj-Napoca Cluj-Napoca, Romania Cluj-Napoca, Romania {ioana.mchira, ancuta.chibulcutean}@yahoo.com Radu.danescu@cs.utcluj. tracking, a technique described in [8]. Radu Danescu, Florin Oniga and Sergiu Nedevschi are with the The tracking solution presented in this paper has the Technical University of Cluj-Napoca, Computer Science Department (e- mail: radu.danescu@cs.utcluj.ro)

Driving Assistance Systems - COR

GENDARED user will be able to visualise: the configuration parameters, the list of input datasets received and scheduled for processing and the ones that are currently being processed, the available resources in terms of disk space, RAM memory and CPU usage, the logged events, the warnings and errors occurred during th 2004. Accurate ego-vehicle global localization at intersections through alignment of visual data with digital map. S Nedevschi, V Popescu, R Danescu, T Marita, F Oniga. IEEE transactions on intelligent transportation systems 14 (2), 673-687 2003. Improving stereo reconstruction by sub-pixel correction using histogram matching. CC Vancea, VC Miclea, S Nedevschi. 2016 IEEE Intelligent Vehicles Symposium (IV), 335-341. , 2016. 7. 2016. Pedestrian detection in the context of multiple-sensor data alignment for far-infrared and stereo vision sensors Sensors 2016, 16, 1721 2 of 21 accelerometer to know the motion of the user's car, and delimit this motion from the proper motion of the obstacles. The method proposed in this paper relies on segmenting obstacle areas from an image, after th Danescu R 1. Author information. Affiliations. 2 authors. 1. Computer Science Department, Technical University of Cluj Napoca, 28 Memorandumului Street, Cluj Napoca 400114, Romania. where the quality of the images is usually medium to good and the user is cooperative

The system starts to acquire images at full frame (2048 × 1088) using a 30 fps. The image processing host computer automatically detects the user's face using a publicly available face detection library . After the face is detected, a region of interest is automatically established such that it will include the detected face and a. Micro-expressions (ME) are brief, fast facial movements that occur in high-stake situations when people try to conceal their feelings, as a form of either suppression or repression. They are reliable sources of deceit detection and human behavior understanding. Automatic analysis of micro-expression is challenging because of their short duration (they occur as fast as 1/15-1/25 of a second. letia@cs.utcluj.ro. Anca M˘arginean. Technical University of Cluj-Napoca Baritiu 28, RO-400391 Cluj-Napoca Romania. anca@cs-gw.utcluj.ro Abstract—Present day search engines are far from per­ fect because they retrieve a great number of pages from different sources (reliable or not), and because they sometimes return unexpected results

CiteSeerX — Obstacle Detection Using Dynamic Particle

11.05.1970 . Andrei Vatavu, Radu Danescu, and Sergiu Nedevschi Computer Science Department Technical University of Cluj-Napoca, Cluj-Napoca, Romania {Andrei.Vatavu, Radu.Danescu, Sergiu.Nedevschi}@cs.utcluj.ro Abstract — Modeling and tracking dynamic entities in the dri ving environment is a complex task, as one has to accommodate

3d Environment Reconstruction Using Multiple Moving

  1. (PDF) Modeling and Tracking the Driving Environment With a
  2. ‪Radu Danescu‬ - ‪Google Scholar
  3. INFORMAŢII PERSONALE Mariţa Tiberiu - utcluj
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  5. Design of a multiprocessor ASIC dedicated to smart camer
  6. (PDF) Probabilistic Lane Tracking in Difficult Road