Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Frank Bieder"'
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dacecceac4cb1acbd51adda1fb112dd
https://doi.org/10.1109/itsc55140.2022.9922600
https://doi.org/10.1109/itsc55140.2022.9922600
Publikováno v:
2022 25th International Conference on Information Fusion (FUSION).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a779be74eb5278dfb9e8122a870b2db
https://doi.org/10.23919/fusion49751.2022.9841241
https://doi.org/10.23919/fusion49751.2022.9841241
Publikováno v:
tm - Technisches Messen. 88:352-360
In this work, we improve the semantic segmentation of multi-layer top-view grid maps in the context of LiDAR-based perception for autonomous vehicles. To achieve this goal, we fuse sequential information from multiple consecutive LiDAR measurements w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a231b3639c6dc02c34a430c1c3c60b0
https://doi.org/10.1515/teme-2021-0026
https://doi.org/10.1515/teme-2021-0026
Publikováno v:
tm - Technisches Messen. 88:227-236
For the application of an automated, driverless race car, we aim to assure high map and localization quality for successful driving on previously unknown, narrow race tracks. To achieve this goal, it is essential to choose an algorithm that fulfills
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caffe3c4eb083202c424e04fa413eb3c
https://doi.org/10.1515/teme-2021-0004
https://doi.org/10.1515/teme-2021-0004
We propose a fast and robust method to estimate the ground surface from LIDAR measurements on an automated vehicle. The ground surface is modeled as a UBS which is robust towards varying measurement densities and with a single parameter controlling t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2de6e73d7c3badf53f4ca47bfc137ad7
Autor:
Kunyu Peng, Juncong Fei, Kailun Yang, Alina Roitberg, Jiaming Zhang, Frank Bieder, Philipp Heidenreich, Christoph Stiller, Rainer Stiefelhagen
At the heart of all automated driving systems is the ability to sense the surroundings, e.g., through semantic segmentation of LiDAR sequences, which experienced a remarkable progress due to the release of large datasets such as SemanticKITTI and nuS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b06a7e7b2778af846364bca44efdb017
http://arxiv.org/abs/2107.00346
http://arxiv.org/abs/2107.00346
Publikováno v:
IV
Semantic understanding of the surrounding environment is essential for automated vehicles. The recent publication of the SemanticKITTI dataset stimulates the research on semantic segmentation of LiDAR point clouds in urban scenarios. While most exist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1f7d96f4799d4a1cb17716f4fb997cb
Autor:
Frank Bieder, Johannes Janosovits, Zheyuan Wang, Sascha Wirges, Sven Richter, Christoph Stiller
Publikováno v:
IV
In this paper, we consider the transformation of laser range measurements into a top-view grid map representation to approach the task of LiDAR-only semantic segmentation. Since the recent publication of the SemanticKITTI data set, researchers are no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::359629efe6e3b5b49013e840b0414828
https://doi.org/10.1109/iv47402.2020.9304848
https://doi.org/10.1109/iv47402.2020.9304848
Autor:
Peng, Kunyu, Fei, Juncong, Yang, Kailun, Roitberg, Alina, Zhang, Jiaming, Bieder, Frank, Heidenreich, Philipp, Stiller, Christoph, Stiefelhagen, Rainer
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems; Sep2022, Vol. 23 Issue 9, p15824-15840, 17p
Publikováno v:
Technisches Messen; 2021, Vol. 88 Issue 6, pI-IV, 4p