Povesti de succes - uefiscdi

Viziunea Artificială - o viziune a viitorului
22
Organizator, Workshop on Computers in Medical Diagnoses
2007 (WCMD 2007), 6 Septembrie, Cluj-Napoca,
România
Chairman conferinţă, IEEE Intelligent Computer Communication
and Processing (ICCP 2006), 1-2 Septembrie,
Cluj-Napoca, România
Chairman Comitet Program, IEEE INES 2004, 19-21
Septembrie, Cluj-Napoca, România
Impactul rezultatelor asupra comunităţii
ştiinţifice şi societate
Grupul a produs rezultate semnificative în domeniul reconstrucţiei
3D prin stereoviziune, al grupării perceptuale a
trăsăturilor 3D, în urmărirea probabilistică bazată pe model
a obiectelor şi a curbelor, şi în domeniul analizei texturilor.
Noutatea şi semnificaţia acestor rezultate pentru comunitatea
ştiinţifică internaţională este confirmată prin multiplele citări
în jurnale cotate ISI şi în volume de conferinţe, precum:
J.C. McCall, M.M. Trivedi , “Video-based lane estimation
and tracking for driver assistance: survey, system, and
evaluation”, IEEE Trans on ITS, 2006
S.Y. Cheng, „Lane tracking with omnidirectional cameras:
algorithms and evaluation“, EURASIP Journal on Embedded
Systems, 2007
M. Hwang, L.T. Ha, N. Kim, C. Park, S. Ko, “Person
Identification System for Future Digital TV with Intelligence”,
IEEE Trans on Consumer Electronics, 2007
Lucrări publicate în reviste cotate ISI,
în volumele unor conferinţe internaţionale
Papers published in ISI journals and
in proceedings of international conferences
R. Danescu, S. Nedevschi, Probabilistic Lane Tracking
in Difficult Road Scenarios Using Stereovision, accepted
for publishing in IEEE Transactions on Intelligent
Transportation Systems, at 28 January 2009, Digital Object
Identifier 10.1109/TITS.2009.2018328.
S. Nedevschi, S. Bota, C. Tomiuc, Stereo-Based
Pedestrian Detection for Collision-Avoidance Applications,
IEEE Transactions on Intelligent Transportation
Systems, 2009, volume PP, issue 99, pages 1-11, Digital
Object Identifier 10.1109/TITS.2008.2012373.
Bota Silviu, Sergiu Nedevschi, Multi-Feature Walking
Pedestrians Detection for Driving Assistance Systems,
IET Inteligent Transportation Systems Journal, 2008, volume
2, issue 2, pages 92-104.
Tomiuc Corneliu, Sergiu Nedevschi, Real-time pedestrian
classification exploiting 2D and 3D information, IET
Inteligent Transportation Systems Journal, 2008, volume
2, issue 3, pages 201-210.
S. Nedevschi, C. Vancea, T. Marita, T. Graf, Online
Extrinsic Parameters Calibration for Stereovision Systems
Used in Far-Range Detection Vehicle Applications. IEEE
Transactions on Intelligent Transportation Systems, 2007,
volume 8 issue 4, pages 651-660.
P. Jeong, S. Nedevschi, Local Difference Probability
(LDP)-Based Environment Adaptive Algorithm for Unmanned
Ground Vehicle, IEEE Transactions on Intelligent
Transportation Systems, 2006, volume 7, issue 3, pages
282-292.
Conference Chairman, IEEE Intelligent Computer
Communication and Processing (ICCP 2006), 1-2 September,
Cluj-Napoca, Romania
Program Committee Chairman, IEEE INES 2004, 19-21
September, Cluj-Napoca, Romania
The Expected Impact of the Results
on the Scientific Community and Society
The group has produced state of the art results in stereo
3D reconstruction, perceptual grouping of 3D features, probabilistic
model-based tracking of objects and curves, texture-based
analysis. The novelty and significance of these
results for the international scientific comunity is confirmed
by multiple citations in ISI journals and conference proceedings,
such as:
J.C. McCall, M.M. Trivedi, “Video-based lane estimation
and tracking for driver assistance: survey, system and
evaluation”, - IEEE Trans on ITS, 2006
S.Y. Cheng, „Lane tracking with omnidirectional cameras:
algorithms and evaluation“, EURASIP Journal on Embedded
Systems, 2007
M. Hwang, L.T. Ha, N. Kim, C. Park, S. Ko, “Person
Identification System for Future Digital TV with Intelligence”,
IEEE Trans on Consumer Electronics, 2007
C. Caraffi, S. Cattani, P. Grisleri, „Off-Road Path and
Obstacle Detection Using Decision Networks and Stereo Vision“,
IEEE Trans on ITS, 2007
P. Jeong, S. Nedevschi, Efficient and Robust Classification
Method Using Combined Feature Vector for Lane
Detection. IEEE Transactions on Circuits Systems and
Video Technologies, 2005, volume 15, issue 4, pages 528-
537.
P. Jeong, S. Nedevschi, Efficient Classification
Method for Autonomous Driving Application, Lecture
Notes in Computer Science 3211, Springer, 2004, pages
228-235.
Selectie de articole publicate
în volume de tip proceedings ISI
S. Nedevschi, et al, “3D Lane Detection System Based
on Stereovision”, Proc. of IEEE Intelligent Transportation
Systems Conference, 2004, pp. 161-166.
S. Nedevschi, et al, “High accuracy stereo vision system
for far distance obstacle detection”, Proc. of IEEE Intelligent
Vehicles Symposium, 2004, pp. 292-297.
S. Nedevschi, et al, "Driving Environment Perception
Using Stereovision", Proc. of IEEE Intelligent Vehicles
Symposium 2005, pp.331-336.
T. Mariţa, et al, „Camera Calibration Method for Far
Range Stereovision Sensors Used in Vehicles”, Proc. of
IEEE Intelligent Vehicles Symposium, 2006, pp. 356-363.
R. Dănescu, et al, „Stereovision-Based Side Lane and
Guardrail Detection”, Proc. of IEEE Intelligent Transportation
Systems Conference, 2006, pp. 1156-1161.
S. Nedevschi, et al, „Increased Accuracy Stereo Approach
for 3D Lane Detection”, Proc. of IEEE Intelligent
Vehicles Symposium, 2006, pp. 42-49.
S. Nedevschi, et al, „A Sensor for Urban Driving Assistance
Systems Based on Dense Stereovision”, Proc. of
IEEE Intelligent Vehicles Symposium, 2006, pp 276-283.