| Data-and model-driven gaze control for an active-vision system G Backer, B Mertsching, M Bollmann IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (12), 1415 …, 2001 | 171 | 2001 |
| Fast and robust generation of feature maps for region-based visual attention MZ Aziz, B Mertsching IEEE transactions on image processing 17 (5), 633-644, 2008 | 154 | 2008 |
| Illumination-robust optical flow using a local directional pattern MA Mohamed, HA Rashwan, B Mertsching, MA García, D Puig IEEE Transactions on Circuits and Systems for Video Technology 24 (9), 1499-1508, 2014 | 81 | 2014 |
| Closest Gap based (CG) reactive obstacle avoidance navigation for highly cluttered environments M Mujahad, D Fischer, B Mertsching, H Jaddu 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 66 | 2010 |
| Illumination robust optical flow model based on histogram of oriented gradients HA Rashwan, MA Mohamed, MA García, B Mertsching, D Puig Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany …, 2013 | 43 | 2013 |
| Evaluation of visual attention models for robots MZ Aziz, B Mertsching, M Salah, EN Shafik, R Stemmer Fourth IEEE International Conference on Computer Vision Systems (ICVS'06), 20-20, 2006 | 36 | 2006 |
| Two selection stages provide efficient object-based attentional control for dynamic vision G Backer, B Mertsching Proceedings of the international workshop on attention and performance in …, 2003 | 34 | 2003 |
| Tangential Gap Flow (TGF) navigation: A new reactive obstacle avoidance approach for highly cluttered environments M Mujahed, D Fischer, B Mertsching Robotics and Autonomous Systems 84, 15-30, 2016 | 33 | 2016 |
| Admissible gap navigation: A new collision avoidance approach M Mujahed, D Fischer, B Mertsching Robotics and autonomous systems 103, 93-110, 2018 | 32 | 2018 |
| Integration of static and dynamic scene features guiding visual attention M Bollmann, R Hoischen, B Mertsching Mustererkennung 1997: 19. DAGM-Symposium Braunschweig, 15.–17. September …, 1997 | 30 | 1997 |
| 3D graph based stairway detection and localization for mobile robots T Westfechtel, K Ohno, B Mertsching, D Nickchen, S Kojima, S Tadokoro 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 29 | 2016 |
| Fast techniques for monocular visual odometry MH Mirabdollah, B Mertsching Pattern Recognition: 37th German Conference, GCPR 2015, Aachen, Germany …, 2015 | 29 | 2015 |
| Combining multiple views and temporal associations for 3-D object recognition A Massad, B Mertsching, S Schmalz Computer Vision—ECCV’98: 5th European Conference on Computer Vision …, 1998 | 29 | 1998 |
| Region-based artificial visual attention in space and time J Tünnermann, B Mertsching Cognitive computation 6, 125-143, 2014 | 27 | 2014 |
| Color saliency and inhibition using static and dynamic scenes in region based visual attention MZ Aziz, B Mertsching Attention in Cognitive Systems. Theories and Systems from an …, 2007 | 26 | 2007 |
| Visual search in static and dynamic scenes using fine-grain top-down visual attention MZ Aziz, B Mertsching International Conference on Computer Vision Systems, 3-12, 2008 | 25 | 2008 |
| Detecting the expectancy of a place using nearby context for appearance-based mapping SMAM Kazmi, B Mertsching IEEE Transactions on Robotics 35 (6), 1352-1366, 2019 | 24 | 2019 |
| The neural active vision system NAVIS B Mertsching, M Bollmann, R Hoischen, S Schmalz Handbook of computer vision and applications 3, 543-568, 1999 | 24 | 1999 |
| Tangential closest gap based (TCG) reactive obstacle avoidance navigation for cluttered environments M Mujahed, H Jaddu, D Fischer, B Mertsching 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2013 | 23 | 2013 |
| Survivor search with autonomous UGVs using multimodal overt attention MZ Aziz, B Mertsching 2010 IEEE Safety Security and Rescue Robotics, 1-6, 2010 | 23 | 2010 |
