Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Kuhnert, Lars"'
A single unexpected object on the road can cause an accident or may lead to injuries. To prevent this, we need a reliable mechanism for finding anomalous objects on the road. This task, called anomaly segmentation, can be a stepping stone to safe and
Externí odkaz:
http://arxiv.org/abs/2308.02046
Autor:
Abate, Marcus, Schwartz, Ariel, Wong, Xue Iuan, Luo, Wangdong, Littman, Rotem, Klinger, Marc, Kuhnert, Lars, Blue, Douglas, Carlone, Luca
Localization and mapping are key capabilities for self-driving vehicles. In this paper, we build on Kimera and extend it to use multiple cameras as well as external (eg wheel) odometry sensors, to obtain accurate and robust odometry estimates in real
Externí odkaz:
http://arxiv.org/abs/2304.13182
With the recent boost in autonomous driving, increased attention has been paid on radars as an input for occupancy mapping. Besides their many benefits, the inference of occupied space based on radar detections is notoriously difficult because of the
Externí odkaz:
http://arxiv.org/abs/2012.02111
To perform high speed tasks, sensors of autonomous cars have to provide as much information in as few time steps as possible. However, radars, one of the sensor modalities autonomous cars heavily rely on, often only provide sparse, noisy detections.
Externí odkaz:
http://arxiv.org/abs/1904.00842
One essential step to realize modern driver assistance technology is the accurate knowledge about the location of static objects in the environment. In this work, we use artificial neural networks to predict the occupation state of a whole scene in a
Externí odkaz:
http://arxiv.org/abs/1903.12467
Publikováno v:
In Robotics and Autonomous Systems December 2012 60(12):1498-1507
Publikováno v:
In Robotics and Autonomous Systems April 2012 60(4):498-508
Autor:
Kuhnert, Lars
Autonome Exploration in der Außenbereichsrobotik ist eine komplexe Aufgabenstellung, die sich mit Navigation und Kartierung in vorab unbekannten Außenbereichsarealen befasst. Motiviert durch die Möglichkeit, Gegenden automatisch zu erkunden, zu de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______691::f0bc0d4837c4302e5da29d37e5d406fa
http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:467-10151
http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:467-10151
Publikováno v:
Proceedings 2014 International Conference on Informative & Cybernetics for Computational Social Systems (ICCSS); 2014, p118-122, 5p
Publikováno v:
2014 IEEE International Symposium on Signal Processing & Information Technology (ISSPIT); 2014, p626-634, 9p