@inproceedings{AlhwarinFerreinGebhardtetal.2015, author = {Alhwarin, Faraj and Ferrein, Alexander and Gebhardt, Andreas and Kallweit, Stephan and Scholl, Ingrid and Tedjasukmana, Osmond Sanjaya}, title = {Improving additive manufacturing by image processing and robotic milling}, series = {2015 IEEE International Conference on Automation Science and Engineering (CASE), Aug 24-28, 2015 Gothenburg, Sweden}, booktitle = {2015 IEEE International Conference on Automation Science and Engineering (CASE), Aug 24-28, 2015 Gothenburg, Sweden}, doi = {10.1109/CoASE.2015.7294217}, pages = {924 -- 929}, year = {2015}, language = {en} } @article{AlhwarinFerreinScholl2014, author = {Alhwarin, Faraj and Ferrein, Alexander and Scholl, Ingrid}, title = {IR stereo kinect: improving depth images by combining structured light with IR stereo}, pages = {1 -- 9}, year = {2014}, language = {en} } @incollection{AlhwarinFerreinScholl2014, author = {Alhwarin, Faraj and Ferrein, Alexander and Scholl, Ingrid}, title = {IR stereo kinect: improving depth images by combining structured light with IR stereo}, series = {PRICAI 2014: Trends in artificial intelligence : 13th Pacific Rim International Conference on Artificial Intelligence : Gold Coast, QLD, Australia, December 1-5, 2014 : proceedings. (Lecture notes in computer science ; vol. 8862)}, booktitle = {PRICAI 2014: Trends in artificial intelligence : 13th Pacific Rim International Conference on Artificial Intelligence : Gold Coast, QLD, Australia, December 1-5, 2014 : proceedings. (Lecture notes in computer science ; vol. 8862)}, publisher = {Springer}, address = {M{\"u}nchen}, isbn = {978-3-319-13559-5 (Print) ; 978-3-319-13560-1 (E-Book)}, doi = {10.1007/978-3-319-13560-1_33}, pages = {409 -- 421}, year = {2014}, abstract = {RGB-D sensors such as the Microsoft Kinect or the Asus Xtion are inexpensive 3D sensors. A depth image is computed by calculating the distortion of a known infrared light (IR) pattern which is projected into the scene. While these sensors are great devices they have some limitations. The distance they can measure is limited and they suffer from reflection problems on transparent, shiny, or very matte and absorbing objects. If more than one RGB-D camera is used the IR patterns interfere with each other. This results in a massive loss of depth information. In this paper, we present a simple and powerful method to overcome these problems. We propose a stereo RGB-D camera system which uses the pros of RGB-D cameras and combine them with the pros of stereo camera systems. The idea is to utilize the IR images of each two sensors as a stereo pair to generate a depth map. The IR patterns emitted by IR projectors are exploited here to enhance the dense stereo matching even if the observed objects or surfaces are texture-less or transparent. The resulting disparity map is then fused with the depth map offered by the RGB-D sensor to fill the regions and the holes that appear because of interference, or due to transparent or reflective objects. Our results show that the density of depth information is increased especially for transparent, shiny or matte objects.}, language = {en} } @inproceedings{AlhwarinFerreinScholl2018, author = {Alhwarin, Faraj and Ferrein, Alexander and Scholl, Ingrid}, title = {CRVM: Circular Random Variable-based Matcher - A Novel Hashing Method for Fast NN Search in High-dimensional Spaces}, series = {Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018}, booktitle = {Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018}, isbn = {978-989-758-276-9}, doi = {10.5220/0006692802140221}, pages = {214 -- 221}, year = {2018}, language = {en} } @inproceedings{AlhwarinFerreinScholl2019, author = {Alhwarin, Faraj and Ferrein, Alexander and Scholl, Ingrid}, title = {An Efficient Hashing Algorithm for NN Problem in HD Spaces}, series = {Lecture Notes in Computer Science}, booktitle = {Lecture Notes in Computer Science}, isbn = {978-303005498-4}, doi = {10.1007/978-3-030-05499-1_6}, pages = {101 -- 115}, year = {2019}, language = {en} } @inproceedings{AlhwarinSchifferFerreinetal.2018, author = {Alhwarin, Faraj and Schiffer, Stefan and Ferrein, Alexander and Scholl, Ingrid}, title = {Optimized KinectFusion Algorithm for 3D Scanning Applications}, series = {Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING}, booktitle = {Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING}, isbn = {978-989-758-278-3}, doi = {10.5220/0006594700500057}, pages = {50 -- 57}, year = {2018}, language = {en} } @inproceedings{AlhwarinSchifferFerreinetal.2019, author = {Alhwarin, Faraj and Schiffer, Stefan and Ferrein, Alexander and Scholl, Ingrid}, title = {An Optimized Method for 3D Body Scanning Applications Based on KinectFusion}, series = {Communications in Computer and Information Science}, volume = {1024}, booktitle = {Communications in Computer and Information Science}, publisher = {Springer}, issn = {1865-0929}, doi = {10.1007/978-3-030-29196-9_6}, pages = {100 -- 113}, year = {2019}, language = {en} } @article{DesernoAachAmuntsetal.2011, author = {Deserno, Thomas M. and Aach, Til and Amunts, Katrin and Hillen, Walter and Kuhlen, Torsten and Scholl, Ingrid}, title = {Advances in medical image processing : A special Issue on the Workshop in Aachen, Germany, March 2010}, series = {Computer Science - Research and Development. 26 (2011), H. 1-2}, journal = {Computer Science - Research and Development. 26 (2011), H. 1-2}, publisher = {springer}, address = {Berlin}, isbn = {1865-2042}, pages = {1 -- 3}, year = {2011}, language = {en} } @inproceedings{DonnerRabelScholletal.2019, author = {Donner, Ralf and Rabel, Matthias and Scholl, Ingrid and Ferrein, Alexander and Donner, Marc and Geier, Andreas and John, Andr{\´e} and K{\"o}hler, Christian and Varga, Sebastian}, title = {Die Extraktion bergbaulich relevanter Merkmale aus 3D-Punktwolken eines untertagetauglichen mobilen Multisensorsystems}, series = {Tagungsband Geomonitoring}, booktitle = {Tagungsband Geomonitoring}, doi = {10.15488/4515}, pages = {91 -- 110}, year = {2019}, language = {de} } @inproceedings{EichenbaumNikolovskiMuelhensetal.2023, author = {Eichenbaum, Julian and Nikolovski, Gjorgji and M{\"u}lhens, Leon and Reke, Michael and Ferrein, Alexander and Scholl, Ingrid}, title = {Towards a lifelong mapping approach using Lanelet 2 for autonomous open-pit mine operations}, series = {2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)}, booktitle = {2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)}, publisher = {IEEE}, isbn = {979-8-3503-2069-5 (Online)}, doi = {10.1109/CASE56687.2023.10260526}, pages = {8 Seiten}, year = {2023}, abstract = {Autonomous agents require rich environment models for fulfilling their missions. High-definition maps are a well-established map format which allows for representing semantic information besides the usual geometric information of the environment. These are, for instance, road shapes, road markings, traffic signs or barriers. The geometric resolution of HD maps can be as precise as of centimetre level. In this paper, we report on our approach of using HD maps as a map representation for autonomous load-haul-dump vehicles in open-pit mining operations. As the mine undergoes constant change, we also need to constantly update the map. Therefore, we follow a lifelong mapping approach for updating the HD maps based on camera-based object detection and GPS data. We show our mapping algorithm based on the Lanelet 2 map format and show our integration with the navigation stack of the Robot Operating System. We present experimental results on our lifelong mapping approach from a real open-pit mine.}, language = {en} }