Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sinan Hasirlioglu"'
Autor:
Andreas Riener, Sinan Hasirlioglu
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 5:426-438
Driving automation systems typically use surround sensors to perceive their local environment. Accidents with automated vehicles have shown that errors in sensor data measurement and interpretation can lead to fatal injuries. It is thus necessary to
Publikováno v:
ICVES
Camera systems capture images from the surroundings and process these data for detecting and classifying objects. One particular category responsible for faults and failures is adverse weather conditions. In this case, it is known that rain, for exam
Autor:
Andreas Riener, Sinan Hasirlioglu
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030147563
Intelligent vehicles use surround sensors which perceive their environment and therefore enable automatic vehicle control. As already small errors in sensor data measurement and interpretation could lead to severe accidents, future object detection a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::856827b3889432a750c4d19e6cb7ba96
https://doi.org/10.1007/978-3-030-14757-0_5
https://doi.org/10.1007/978-3-030-14757-0_5
Autor:
Andreas Riener, Sinan Hasirlioglu
Publikováno v:
ITSC
Intelligent vehicles use surround sensors to perceive their local environment. However, already small errors in sensor data measurement and interpretation can lead to severe accidents, thus, testing the reliability of sensors and safety systems befor
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319937090
Cameras in general are exteroceptive sensors and provide visual information about the local environment. For automotive safety applications, image data is processed to identify critical situations and avoid traffic accidents. Plenoptic cameras which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e652ba894047fb279655c36d1b02fdac
https://doi.org/10.1007/978-3-319-93710-6_18
https://doi.org/10.1007/978-3-319-93710-6_18
Autor:
Jonas B. Bielmeier, Sinan Hasirlioglu, Alexander Kamann, Ulrich T. Schwarz, Thomas Brandmeier
Publikováno v:
ITSC
Intelligent vehicles measure their local environment utilizing surround sensors. Algorithms use this information for driver assistance or vehicle control applications. Insufficient reliability and accuracy of measurements can lead to fatal consequenc
Autor:
Andreas Riener, Sinan Hasirlioglu
Publikováno v:
ITSC
Surround sensors in automated vehicles use electromagnetic waves to perceive their local environment. Due to atmospheric phenomena such as rain and fog, the waves are attenuated and limit sensor performance. As already small errors in sensor data mea
Publikováno v:
Intelligent Vehicles Symposium
Safety systems in automated vehicles use surround sensors to perceive their local environment. In contrast to radar sensors, laser scanners provide precise spatial information, which can be used to identify critical traffic situations and trigger rev
Publikováno v:
Intelligent Vehicles Symposium
Automated vehicles, but also safety or driver assistance systems for manually driven cars, will soon face situations where they have to choose between several options with negative or even lethal outcome for the one or the other party. Experimental e
Autor:
Thomas Speth, Sinan Hasirlioglu, Alexander Kamann, Thomas Brandmeier, Igor Doric, Ulrich T. Schwarz
Publikováno v:
VTC Spring
Modern vehicles use surround sensors to measure their local environment. The information are processed and forwarded to intelligent pre-crash or automation functions enhancing vehicle safety or enabling automated driving. False or inaccurate measurem