@inproceedings{GoldhammerBrunsmannDoll2012, author = {Goldhammer, Michael and Brunsmann, Ulrich and Doll, Konrad}, title = {Verkehrssicherheitsforschung: Bildverabeitung an intelligenten Kreuzungen}, series = {Messe-Exponat und Vortrag, Vision 2012, Stuttgart, 06.-08. November}, booktitle = {Messe-Exponat und Vortrag, Vision 2012, Stuttgart, 06.-08. November}, year = {2012}, subject = {Bildverarbeitung}, language = {de} } @misc{ZindlerDoll2014, author = {Zindler, Klaus and Doll, Konrad}, title = {Starke Partner f{\"u}r eine starke Region}, year = {2014}, abstract = {Vortrag}, subject = {Kraftfahrzeugtechnik}, language = {de} } @inproceedings{ZindlerGeissDolletal.2014, author = {Zindler, Klaus and Geiß, Niklas and Doll, Konrad and Heinlein, Sven}, title = {Real-Time Ego-Motion Estimation using Lidar and a Vehicle Model Based Extended Kalman Filter}, series = {Proceedings of the IEEE 17th International Conference on Intelligent Transportation Systems (ITSC 2014), Qingdao, China, October 8-11, 2014}, volume = {2014}, booktitle = {Proceedings of the IEEE 17th International Conference on Intelligent Transportation Systems (ITSC 2014), Qingdao, China, October 8-11, 2014}, number = {Beitrag Nr. ThA6.1}, publisher = {IEEE}, doi = {10.1109/ITSC.2014.6957728}, pages = {431 -- 438}, year = {2014}, subject = {Kraftfahrzeug}, language = {en} } @inproceedings{KempfSchmittBaueretal.2012, author = {Kempf, Johannes and Schmitt, Marc and Bauer, Sebastian and Brunsmann, Ulrich and Doll, Konrad}, title = {Real-Time Processing of High-Resolution Image Streams using a Flexible FPGA Platform}, series = {Embedded World Conference, N{\"u}rnberg, Germany}, booktitle = {Embedded World Conference, N{\"u}rnberg, Germany}, year = {2012}, subject = {Field programmable gate array}, language = {en} } @inproceedings{HahnleSaxenHisungetal.2013, author = {Hahnle, Michael and Saxen, Frerk and Hisung, Matthias and Brunsmann, Ulrich and Doll, Konrad}, title = {FPGA-Based Real-Time Pedestrian Detection on High-Resolution Images}, series = {2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Portland, USA}, booktitle = {2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Portland, USA}, publisher = {IEEE}, isbn = {978-0-7695-4990-3}, issn = {2160-7508}, doi = {10.1109/CVPRW.2013.95}, pages = {629 -- 635}, year = {2013}, subject = {Fahrerassistenzsystem}, language = {en} } @article{MehrjooPacuraruKruegeretal.2025, author = {Mehrjoo, Masoud and Pacuraru, Alexander and Kr{\"u}ger, Luise and Beck, Florian and Doll, Konrad and Arba Mosquera, Samuel}, title = {Peri-operative intrastromal corneal segmentation after creation of corneal cuts based on laser induced optical breakdown: A perspective study}, series = {Journal of the European Optical Society-Rapid Publications}, volume = {21}, journal = {Journal of the European Optical Society-Rapid Publications}, number = {1}, publisher = {EDP Sciences}, issn = {1990-2573}, doi = {https://doi.org/10.1051/jeos/2025006}, year = {2025}, abstract = {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.}, subject = {Hornhautchirurgie}, language = {en} } @inproceedings{HubertJungDoll2023, author = {Hubert, Andreas and Jung, Janis and Doll, Konrad}, title = {Exploiting Self-Imposed Constraints on RGB and LiDAR for Unsupervised Training}, series = {Proceedings of the 2023 6th International Conference on Machine Vision and Applications}, booktitle = {Proceedings of the 2023 6th International Conference on Machine Vision and Applications}, publisher = {ACM}, address = {New York, NY, USA}, doi = {https://doi.org/10.1145/3589572.3589575}, pages = {15 -- 21}, year = {2023}, abstract = {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.}, subject = {Maschinelles Sehen}, language = {en} } @inproceedings{KressZernetschDolletal.2019, author = {Kreß, Viktor and Zernetsch, Stefan and Doll, Konrad and Sick, Bernhard}, title = {Pose Based Trajectory Forecast of Vulnerable Road Users}, series = {IEEE Symposium Series on Computational Intelligence (SSCI)}, volume = {2019}, booktitle = {IEEE Symposium Series on Computational Intelligence (SSCI)}, publisher = {IEEE}, address = {Xiamen, China}, doi = {10.1109/SSCI44817.2019.9003023}, pages = {1200 -- 1207}, year = {2019}, abstract = {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.}, subject = {Fahrerassistenzsystem}, language = {en} } @inproceedings{KoehlerSchreinerRonalteretal.2013, author = {K{\"o}hler, Sebastian and Schreiner, Brian and Ronalter, Steffen and Doll, Konrad and Brunsmann, Ulrich and Zindler, Klaus}, title = {Autonomous Evasive Maneuvers Triggered by Infrastructure-Based Detection of Pedestrian Intentions}, series = {IEEE Intelligent Vehicles Symposium (IV' 13), Gold Coast, Australien, 23.-26. Juni}, booktitle = {IEEE Intelligent Vehicles Symposium (IV' 13), Gold Coast, Australien, 23.-26. Juni}, issn = {1931-0587}, doi = {10.1109/IVS.2013.6629520}, pages = {519 -- 526}, year = {2013}, subject = {Fahrerassistenzsystem}, language = {en} } @inproceedings{GoldhammerStrigelMeissneretal.2012, author = {Goldhammer, Michael and Strigel, Elias and Meissner, Daniel and Brunsmann, Ulrich and Doll, Konrad and Dietmayer, Klaus}, title = {Cooperative Multi Sensor Network for Traffic Safety Applications at Intersections}, series = {15th International IEEE Conference on Intelligent Transportation Systems (ITSC 2012), Anchorage, Alaska, USA.}, booktitle = {15th International IEEE Conference on Intelligent Transportation Systems (ITSC 2012), Anchorage, Alaska, USA.}, doi = {10.1109/ITSC.2012.6338672}, pages = {1178 -- 1183}, year = {2012}, subject = {Fahrerassistenzsystem}, language = {en} } @inproceedings{BauerKoehlerDolletal.2010, author = {Bauer, Sebastian and K{\"o}hler, Sebastian and Doll, Konrad and Brunsmann, Ulrich}, title = {FPGA-GPU Architecture for Kernel SVM Pedestrian Detection}, series = {2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR, San Francisco}, booktitle = {2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR, San Francisco}, isbn = {978-1-4244-7029-7}, doi = {10.1109/CVPRW.2010.5543772}, pages = {61 -- 68}, year = {2010}, subject = {Field programmable gate array}, language = {en} } @inproceedings{WesthofenGruendlerDolletal.2012, author = {Westhofen, Daniel and Gr{\"u}ndler, Carolin and Doll, Konrad and Brunsmann, Ulrich and Zecha, Stephan}, title = {Transponder- and Camera-Based Advanced Driver Assistance System}, series = {IEEE Intelligent Vehicles Symposium (IV' 12), Alcala de Henares, Spain}, booktitle = {IEEE Intelligent Vehicles Symposium (IV' 12), Alcala de Henares, Spain}, isbn = {978-1-4673-2119-8}, issn = {1931-0587}, doi = {10.1109/IVS.2012.6232140}, pages = {293 -- 298}, year = {2012}, subject = {Fahrerassistenzsystem}, language = {en} } @inproceedings{BerberichDoll2011, author = {Berberich, Markus and Doll, Konrad}, title = {Highly Flexible FPGA-Architecture of a Support Vector Machine}, series = {45. MPC-Workshop, Albstadt-Sigmaringen}, booktitle = {45. MPC-Workshop, Albstadt-Sigmaringen}, number = {45}, issn = {1868-9221}, pages = {25 -- 32}, year = {2011}, subject = {Field programmable gate array}, language = {en} } @inproceedings{FellhauerSchmittDoll2012, author = {Fellhauer, Felix and Schmitt, Marc and Doll, Konrad}, title = {Echtzeit-BLOB-Analyse mit Laufl{\"a}ngenkodierung und -dekodierung auf einem FPGA}, series = {MPC-Workshop, Offenburg, 2012}, booktitle = {MPC-Workshop, Offenburg, 2012}, number = {47}, issn = {1868-9221}, pages = {35 -- 42}, year = {2012}, subject = {Field programmable gate array}, language = {de} } @inproceedings{DuttineDoll2009, author = {Duttine, Thomas and Doll, Konrad}, title = {Realisierung eines FPGA-basierten Echtzeitdifferenzbildsensors f{\"u}r Verkehrsassistenzsysteme}, series = {41. MPC-Workshop, K{\"u}nzelsau, Deutschland}, booktitle = {41. MPC-Workshop, K{\"u}nzelsau, Deutschland}, number = {41}, issn = {1862-7102}, pages = {51 -- 60}, year = {2009}, subject = {Field programmable gate array}, language = {de} } @inproceedings{SaxenDollBrunsmann2011, author = {Saxen, Frerk and Doll, Konrad and Brunsmann, Ulrich}, title = {Support Vector Pruning with SortedVotes for Large-Scale Datasets}, series = {IEEE international conference on intelligent computing and intelligent systems, Guangzhou}, volume = {2011}, booktitle = {IEEE international conference on intelligent computing and intelligent systems, Guangzhou}, pages = {305 -- 309}, year = {2011}, subject = {Vektorquantisierung}, language = {en} } @inproceedings{GoldhammerHubertKoehleretal.2014, author = {Goldhammer, Michael and Hubert, Andreas and K{\"o}hler, Sebastian and Zindler, Klaus and Brunsmann, Ulrich and Doll, Konrad and Sick, Bernhard}, title = {Analysis on Termination of Pedestrians' Gait at Urban Intersections}, series = {Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on}, booktitle = {Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on}, publisher = {IEEE}, address = {Qingdao, China}, doi = {10.1109/ITSC.2014.6957947}, pages = {1758 -- 1763}, year = {2014}, subject = {Fahrerassistenzsystem}, language = {en} } @inproceedings{GoldhammerDollBrunsmannetal.2014, author = {Goldhammer, Michael and Doll, Konrad and Brunsmann, Ulrich and Gensler, Andre and Sick, Bernhard}, title = {Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks}, series = {22nd International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden}, booktitle = {22nd International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden}, publisher = {IEEE}, isbn = {978-1-4799-5208-3}, issn = {1051-4651}, doi = {10.1109/ICPR.2014.704}, pages = {4110 -- 4115}, year = {2014}, subject = {Fahrerassistenzsystem}, language = {en} } @article{KoehlerGoldhammerBaueretal.2013, author = {K{\"o}hler, Sebastian and Goldhammer, Michael and Bauer, Sebastian and Zecha, Stephan and Doll, Konrad and Brunsmann, Ulrich and Dietmayer, Klaus}, title = {Stationary Detection of the Pedestrian's Intention at Intersections}, series = {IEEE Intelligent Transportation Systems Magazine}, volume = {2013}, journal = {IEEE Intelligent Transportation Systems Magazine}, number = {5}, issn = {1939-1390}, pages = {87 -- 99}, year = {2013}, subject = {Fahrerassistenzsystem}, language = {en} } @inproceedings{HahnZindlerDolletal.2015, author = {Hahn, Stefan and Zindler, Klaus and Doll, Konrad and Jumar, Ulrich}, title = {New Control Scheme for a Lane-Keeping Evasive Maneuver Exploiting the Free Space Optimally}, series = {Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics,Miedzyzdroje, Poland, 24-27 August, 2015}, booktitle = {Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics,Miedzyzdroje, Poland, 24-27 August, 2015}, pages = {856 -- 861}, year = {2015}, subject = {Fahrerassistenzsystem}, language = {de} }