TY - CHAP A1 - Weimer, Daniel A1 - Köhler, Sebastian A1 - Hellert, Christian A1 - Doll, Konrad A1 - Brunsmann, Ulrich A1 - Krzikalla, Roland T1 - GPU Architecture for Stationary Multisensor Pedestrian Detection at Smart Intersections T2 - IEEE Intelligent Vehicles Symposium, Baden Baden, Germany KW - Fahrerassistenzsystem KW - Bildverarbeitung Y1 - 2014 U6 - https://doi.org/10.1109/IVS.2011.5940411 SP - 89 EP - 94 PB - IEEE ER - TY - CHAP A1 - Schlotterbeck-Macht, Stefan A1 - Doll, Konrad A1 - Brunsmann, Ulrich T1 - Introducing Chip Design using Speed of Light T2 - 7th International CONCEIVE DESIGN IMPLEMENT OPERATE Conference Kopenhagen, Denmark KW - CMOS Y1 - 2014 U6 - https://doi.org/10.4122/1.1000054669 ER - TY - CHAP A1 - Köhler, Sebastian A1 - Doll, Konrad A1 - Brunsmann, Ulrich T1 - Videobasierte Erkennung von Fußgängerintentionen zur Steigerung der Verkehrssicherheit T2 - Messe-Exponat und Vortrag, Vision 2012, Stuttgart, 06.-08. November KW - Fußgängererkennung KW - Fahrerassistenzsystem KW - Bildverarbeitung Y1 - 2012 ER - TY - CHAP A1 - Goldhammer, Michael A1 - Brunsmann, Ulrich A1 - Doll, Konrad T1 - Verkehrssicherheitsforschung: Bildverabeitung an intelligenten Kreuzungen T2 - Messe-Exponat und Vortrag, Vision 2012, Stuttgart, 06.-08. November KW - Bildverarbeitung KW - Verkehrssicherheit Y1 - 2012 ER - TY - GEN A1 - Zindler, Klaus A1 - Doll, Konrad T1 - Starke Partner für eine starke Region BT - Bereichsvorstellung AUTOMOTIVE N2 - Vortrag KW - Kraftfahrzeugtechnik Y1 - 2014 ER - TY - CHAP A1 - Zindler, Klaus A1 - Geiß, Niklas A1 - Doll, Konrad A1 - Heinlein, Sven T1 - Real-Time Ego-Motion Estimation using Lidar and a Vehicle Model Based Extended Kalman Filter T2 - Proceedings of the IEEE 17th International Conference on Intelligent Transportation Systems (ITSC 2014), Qingdao, China, October 8-11, 2014 KW - Kraftfahrzeug KW - Kalman-Filter Y1 - 2014 U6 - https://doi.org/10.1109/ITSC.2014.6957728 VL - 2014 IS - Beitrag Nr. ThA6.1 SP - 431 EP - 438 PB - IEEE ER - TY - CHAP A1 - Kempf, Johannes A1 - Schmitt, Marc A1 - Bauer, Sebastian A1 - Brunsmann, Ulrich A1 - Doll, Konrad T1 - Real-Time Processing of High-Resolution Image Streams using a Flexible FPGA Platform T2 - Embedded World Conference, Nürnberg, Germany KW - real-time processing KW - Field programmable gate array KW - Eingebettetes System KW - Bildverarbeitung Y1 - 2012 ER - TY - CHAP A1 - Hahnle, Michael A1 - Saxen, Frerk A1 - Hisung, Matthias A1 - Brunsmann, Ulrich A1 - Doll, Konrad T1 - FPGA-Based Real-Time Pedestrian Detection on High-Resolution Images T2 - 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Portland, USA KW - Fahrerassistenzsystem KW - Fußgänger Y1 - 2013 SN - 978-0-7695-4990-3 U6 - https://doi.org/10.1109/CVPRW.2013.95 SN - 2160-7508 SP - 629 EP - 635 PB - IEEE ER - TY - JOUR A1 - Mehrjoo, Masoud A1 - Pacuraru, Alexander A1 - Krüger, Luise A1 - Beck, Florian A1 - Doll, Konrad A1 - Arba Mosquera, Samuel T1 - Peri-operative intrastromal corneal segmentation after creation of corneal cuts based on laser induced optical breakdown: A perspective study JF - Journal of the European Optical Society-Rapid Publications N2 - Refractive correction techniques, such as Lenticule Extraction and LASIK, are pivotal in corneal surgery. Precise morphological characterization is essential for identifying post-operative complications, which can be compromised by image noise and low contrast. This study introduces an automated image processing algorithm that integrates non-local denoising, the Sobel gradient method, and Bayesian optimization to accurately delineate lenticule volumes and flap surfaces. Validated on 60 ex vivo porcine eyes treated with the SCHWIND ATOS femtosecond laser, the algorithm demonstrated high accuracy compared to the manual gold standard while effectively reducing variability. KW - Hornhautchirurgie KW - Bildverarbeitung Y1 - 2025 U6 - https://doi.org/https://doi.org/10.1051/jeos/2025006 SN - 1990-2573 VL - 21 IS - 1 PB - EDP Sciences ER - TY - CHAP A1 - Hubert, Andreas A1 - Jung, Janis A1 - Doll, Konrad T1 - Exploiting Self-Imposed Constraints on RGB and LiDAR for Unsupervised Training T2 - Proceedings of the 2023 6th International Conference on Machine Vision and Applications N2 - Hand detection on single images is an intensively researched area, and reasonable solutions are already available today. However, fine-tuning detectors within a specific domain remains a tedious task. Unsupervised training procedures can reduce the effort required to create domain-specific datasets and models. In addition, different modalities of the same physical space, here color and depth data, represent objects differently and thus allow for exploitation. We introduce and evaluate a training pipeline to exploit the modalities in an unsupervised manner. The supervision is omitted by choosing suitable self-imposed constraints for the data source. We compare our training results with ground truth training results and show that with these modalities, the domain can be extended without a single annotation, e.g., for detecting colored gloves. KW - Maschinelles Sehen Y1 - 2023 U6 - https://doi.org/https://doi.org/10.1145/3589572.3589575 SP - 15 EP - 21 PB - ACM CY - New York, NY, USA ER - TY - CHAP A1 - Kreß, Viktor A1 - Zernetsch, Stefan A1 - Doll, Konrad A1 - Sick, Bernhard T1 - Pose Based Trajectory Forecast of Vulnerable Road Users T2 - IEEE Symposium Series on Computational Intelligence (SSCI) N2 - In this article, we investigate the use of 3D human poses for trajectory forecasting of vulnerable road users (VRUs), such as pedestrians and cyclists, in road traffic. The forecast is based on past movements of the respective VRU and an important aspect in driver assistance systems and autonomous driving, which both could increase VRU safety. The 3D poses represent the entire body posture of the VRUs and can therefore provide important indicators for trajectory forecasting. In particular, we investigate the influence of different joint combinations and input sequence lengths of past movements on the accuracy of trajectory forecasts for pedestrians and cyclists. In addition, we divide VRU movements into the motion types wait, start, move, and stop and evaluate the results separately for each of them. Comparing it to an existing, solely head based trajectory forecast, we show the advantages of using 3D poses. With an input sequence length of 1.0 s, the forecasting error is reduced by 17.9 % for starting, 8.18 % for moving, and 11.0 % for stopping cyclists. For pedestrians, the error is reduced by 6.93 %, 2.73 %, and 5.02 %, respectively. With shorter input sequences, the improvements over the solely head based method remain for cyclists and even increase for pedestrians. KW - Fahrerassistenzsystem KW - Fußgänger KW - Radfahrer Y1 - 2019 U6 - https://doi.org/10.1109/SSCI44817.2019.9003023 VL - 2019 SP - 1200 EP - 1207 PB - IEEE CY - Xiamen, China ER - TY - CHAP A1 - Köhler, Sebastian A1 - Schreiner, Brian A1 - Ronalter, Steffen A1 - Doll, Konrad A1 - Brunsmann, Ulrich A1 - Zindler, Klaus T1 - Autonomous Evasive Maneuvers Triggered by Infrastructure-Based Detection of Pedestrian Intentions T2 - IEEE Intelligent Vehicles Symposium (IV' 13), Gold Coast, Australien, 23.-26. Juni KW - Evasive Maneuvers KW - Fahrerassistenzsystem KW - Bildverarbeitung Y1 - 2013 U6 - https://doi.org/10.1109/IVS.2013.6629520 SN - 1931-0587 SP - 519 EP - 526 ER - TY - CHAP A1 - Goldhammer, Michael A1 - Strigel, Elias A1 - Meissner, Daniel A1 - Brunsmann, Ulrich A1 - Doll, Konrad A1 - Dietmayer, Klaus T1 - Cooperative Multi Sensor Network for Traffic Safety Applications at Intersections T2 - 15th International IEEE Conference on Intelligent Transportation Systems (ITSC 2012), Anchorage, Alaska, USA. KW - Fahrerassistenzsystem KW - Bildverarbeitung Y1 - 2012 U6 - https://doi.org/10.1109/ITSC.2012.6338672 SP - 1178 EP - 1183 ER - TY - CHAP A1 - Bauer, Sebastian A1 - Köhler, Sebastian A1 - Doll, Konrad A1 - Brunsmann, Ulrich T1 - FPGA-GPU Architecture for Kernel SVM Pedestrian Detection T2 - 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR, San Francisco KW - Field programmable gate array Y1 - 2014 SN - 978-1-4244-7029-7 U6 - https://doi.org/10.1109/CVPRW.2010.5543772 SP - 61 EP - 68 ER - TY - CHAP A1 - Westhofen, Daniel A1 - Gründler, Carolin A1 - Doll, Konrad A1 - Brunsmann, Ulrich A1 - Zecha, Stephan T1 - Transponder- and Camera-Based Advanced Driver Assistance System T2 - IEEE Intelligent Vehicles Symposium (IV' 12), Alcala de Henares, Spain KW - Fahrerassistenzsystem KW - Bildverarbeitung Y1 - 2012 SN - 978-1-4673-2119-8 U6 - https://doi.org/10.1109/IVS.2012.6232140 SN - 1931-0587 SP - 293 EP - 298 ER - TY - CHAP A1 - Berberich, Markus A1 - Doll, Konrad T1 - Highly Flexible FPGA-Architecture of a Support Vector Machine T2 - 45. MPC-Workshop, Albstadt-Sigmaringen KW - Field programmable gate array Y1 - 2014 UR - https://www.mpc-gruppe.de/workshopbaende SN - 1868-9221 IS - 45 SP - 25 EP - 32 ER - TY - CHAP A1 - Fellhauer, Felix A1 - Schmitt, Marc A1 - Doll, Konrad T1 - Echtzeit-BLOB-Analyse mit Lauflängenkodierung und -dekodierung auf einem FPGA T2 - MPC-Workshop, Offenburg, 2012 KW - BLOB-Analyse KW - Field programmable gate array KW - Bildverarbeitung KW - Eingebettetes System Y1 - 2012 UR - https://www.mpc-gruppe.de/workshopbaende SN - 1868-9221 IS - 47 SP - 35 EP - 42 ER - TY - CHAP A1 - Duttine, Thomas A1 - Doll, Konrad T1 - Realisierung eines FPGA-basierten Echtzeitdifferenzbildsensors für Verkehrsassistenzsysteme T2 - 41. MPC-Workshop, Künzelsau, Deutschland KW - Field programmable gate array KW - Eingebettetes System KW - Bildverarbeitung Y1 - 2009 UR - https://www.mpc-gruppe.de/workshopbaende SN - 1862-7102 IS - 41 SP - 51 EP - 60 ER - TY - CHAP A1 - Saxen, Frerk A1 - Doll, Konrad A1 - Brunsmann, Ulrich T1 - Support Vector Pruning with SortedVotes for Large-Scale Datasets T2 - IEEE international conference on intelligent computing and intelligent systems, Guangzhou KW - Vektorquantisierung KW - Maschinelles Lernen Y1 - 2014 VL - 2011 SP - 305 EP - 309 ER - TY - CHAP A1 - Goldhammer, Michael A1 - Hubert, Andreas A1 - Köhler, Sebastian A1 - Zindler, Klaus A1 - Brunsmann, Ulrich A1 - Doll, Konrad A1 - Sick, Bernhard T1 - Analysis on Termination of Pedestrians‘ Gait at Urban Intersections T2 - Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on KW - Fahrerassistenzsystem KW - Fußgänger Y1 - 2014 U6 - https://doi.org/10.1109/ITSC.2014.6957947 SP - 1758 EP - 1763 PB - IEEE CY - Qingdao, China ER - TY - CHAP A1 - Goldhammer, Michael A1 - Doll, Konrad A1 - Brunsmann, Ulrich A1 - Gensler, Andre A1 - Sick, Bernhard T1 - Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks T2 - 22nd International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden KW - Fahrerassistenzsystem KW - Fußgänger Y1 - 2014 SN - 978-1-4799-5208-3 U6 - https://doi.org/10.1109/ICPR.2014.704 SN - 1051-4651 SP - 4110 EP - 4115 PB - IEEE ER -