Zobrazeno 1 - 10
of 29
pro vyhledávání: '"M. Pellkofer"'
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 7:401-414
Early detection of overtaking vehicles is an important task for vision-based driver assistance systems. Techniques utilizing image motion are likely to suffer from spurious image structures caused by shadows and illumination changes, let alone the ap
Autor:
S. Mehraein, C. Garner, W. Meister, K. M. Einhäupl, M. Pellkofer, Roman L. Haberl, Peter Schmiedek, Arno Villringer, H-W. Pfister
Publikováno v:
The Lancet. 338:597-600
Treatment of sinus venous thrombosis (SVT) is controversial. Although heparin has been used for this condition, many investigators have opposed its use because of the frequent occurrence of intracranial haemorrhage (ICH) and SVT. Therefore we have ev
Autor:
O. Elkhalili, Werner Brockherde, Olaf Schrey, C. Toepfer, P. Mengel, Ludwig Listl, Wiebke Ulfig, M. Pellkofer, Bernhard König, Bedrich Hosticka
Publikováno v:
Advanced Microsystems for Automotive Applications 2006 ISBN: 3540334092
Future car safety systems increasingly depend on the availability of robust sensors with vital improved technical perception output. For this objective, we develop a pulsed laser based time of flight range sensor in fully solid-state microsystems tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab34b1d96cfb9b2a398d51d2dccd05d1
Publikováno v:
IEEE Proceedings. Intelligent Vehicles Symposium, 2005..
This paper describes an integrated framework of on-road vehicle detection through knowledge fusion. In contrast to appearance-based detectors that make instant decisions, the proposed detection framework fuses appearance, geometry and motion informat
Publikováno v:
IEEE Proceedings. Intelligent Vehicles Symposium, 2005..
This paper describes a computer vision based system for real-time robust traffic sign detection, tracking, and recognition. Such a framework is of major interest for driver assistance in an intelligent automotive cockpit environment. The proposed app
Autor:
M. Pellkofer, E.D. Dickmanns
Publikováno v:
Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).
The paper describes an approach to an optimal gaze control system for autonomous vehicles. This gaze control system should not only determine the viewing direction ad hoc for the present moment, but also plan and optimize the viewing behavior in adva
Autor:
Arno Villringer, H. Steinhoff, M. Pellkofer, Peter Schmiedek, M. Deckert, W. Meister, Franziska Anneser, H. W. Pfister, K. M. Einhaeupl, Roman L. Haberl
Publikováno v:
Cerebral Sinus Thrombosis ISBN: 9781468482010
Cerebral sinus vein thrombosis (CSVT) is a possibly fatal disease and demands effective treatment. There are, however, no controlled clinical trials. Treatment recommendations are based on pathophysiological delibera-tions, case reports, or case repo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52f4425d81c1798e9f4a284ea8b680aa
https://doi.org/10.1007/978-1-4684-8199-0_21
https://doi.org/10.1007/978-1-4684-8199-0_21
Autor:
M, Pellkofer, M, Paulig
Publikováno v:
Medizinische Klinik (Munich, Germany : 1983). 84(1)
In a double-blind comparative study, the therapeutic efficacy and safety of three centrally effective antispasmodics (Tetrazepam, Baclofen and Tizanidine) in patients suffering from multiple sclerosis with spastic motor disturbances of the lower extr
Publikováno v:
Verhandlungen der Deutschen Gesellschaft für Neurologie ISBN: 9783540102144
Wahrend das Krankheitsbild der Ergotaminintoxikation aus Endemien gut bekannt ist, liegen Berichte uber den Ergotismus — also das Auf treten von Vasospasmen durch therapeutische Dosen von Ergotamin — nur fur Manifestationen an den Extremitaten in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0536de5915813463a0eb4ad004a5b7e
https://doi.org/10.1007/978-3-662-09220-0_119
https://doi.org/10.1007/978-3-662-09220-0_119
Publikováno v:
Scopus-Elsevier
This work presents a robust method of passing vehicle detection. Obstacle detection algorithms that rely on motion estimation tend to be sensitive to image outliers caused by structured noise and shadows. To achieve a reliable vision system, we have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5140f90784303222f0c46c9b04106b0e
http://www.scopus.com/inward/record.url?eid=2-s2.0-13344262641&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-13344262641&partnerID=MN8TOARS