Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Christian Zinner"'
Autor:
Philipp Glira, Christoph Weidinger, Thomas Kadiofsky, Wolfgang Pointner, Katharina Olsbock, Christian Zinner, Masrur Doostdar
Publikováno v:
2022 IEEE Radar Conference (RadarConf22).
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2020, Pp 125-132 (2020)
Environmental perception is one of the core requirements in autonomous vehicle navigation. If exposed to harsh conditions, commonly deployed sensors like cameras or lidars deliver poor sensing performance. Millimeter wave radars enable robust sensing
Autor:
Christoph Hiller von Gaertringen, René Schwerin, Stefan Schweiger, Armin Kölmel, Holger Lochmann, Stephan Schmidt, Christian Zinner, Roland Kirchberger, Dominik Gschanes
Publikováno v:
SAE Technical Paper Series.
Autor:
Oliver Zendel, Christian Zinner
Publikováno v:
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET).
Autor:
Landri Fel, Christian Zinner, Thomas Kadiofsky, Wolfgang Pointner, Johann Weichselbaum, Clemens Reisner
In the last three years, Bombardier Transportation and its partners have developed and brought to market ODAS (Obstacle Detection Assistance System), the world-wide first anti-collision system for light rail vehicles (LRV), which is homologated and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93482ff43d64e50fd6e33b839da6f4f8
Publikováno v:
Computers in Industry. 64:1209-1220
In this paper we present a 3D-vision based obstacle detection system for an autonomously operating train in open terrain environments. The system produces dense depth data in real-time from a stereo camera system with a baseline of 1.4m to fulfill ac
Publikováno v:
SAE Technical Paper Series.
Publikováno v:
SAE Technical Paper Series.
Publikováno v:
Computer Vision and Image Understanding. 114:1180-1202
In this paper, the challenge of fast stereo matching for embedded systems is tackled. Limited resources, e.g. memory and processing power, and most importantly real-time capability on embedded systems for robotic applications, do not permit the use o
Autor:
Christian Zinner, Thomas Gruber
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319242484
SAFECOMP Workshops
SAFECOMP Workshops
For many years, the Digital Safety and Security Department of the Austrian Institute of Technology has been developing stereo vision algorithms for various application purposes. Recently, these algorithms have been adapted for use in a collision avoi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6d38a7e03d2340984a63bef580db00b
https://doi.org/10.1007/978-3-319-24249-1_15
https://doi.org/10.1007/978-3-319-24249-1_15