Publikationen
A General Ambiguity Model for Binary Edge Images with Edge Tracing and its Implementation
M. Hennig, M. Leineke, B. Mertsching, ArXiv:2408.01712 (2024).
Fast 3D Semantic Segmentation Using a Self Attention Network and Random Sampling
S. Babu, M. Jegarian, D. Fischer, B. Mertsching, in: Lecture Notes in Computer Science, Springer Nature Switzerland, 2023.
Box Filtering for Real-Time Curvature Scale-Space Computation
M. Hennig, B. Mertsching, Journal of Physics: Conference Series 1958 (2021).
Admissible gap navigation: A new collision avoidance approach
M. Mujahed, D. Fischer, B. Mertsching, Robotics and Autonomous Systems 103 (2018) 93–110.
Study-related Use of Instructional Videos by Undergraduate Engineering Students
M. Hennig, B. Mertsching, in: Proceedings of the 4th International Conference on Higher Education Advances (HEAd’18), Universitat Politècnica València, 2018.
Innovative 3D Animations for Teaching Electromagnetic Field Theory and its Mathematics in Undergraduate Engineering
M. Hennig, B. Mertsching, in: Proceedings of the 3rd International Conference on Higher Education Advances (HEAd’17), Universitat Politècnica València, 2017.
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 (2016) 15–30.
Smooth reactive collision avoidance in difficult environments
M. Mujahed, D. Fischer, B. Mertsching, in: 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), IEEE, 2016.
Contour Analysis in Biological and Artificial Cognitive Systems
M. Hennig, B. Mertsching, in: Proceedings of the 5th Interdisciplinary Workshop on Cognitive Systems (KogSys 2016), 2016.
Situated Mathematics Teaching Within Electrical Engineering Courses
M. Hennig, B. Mertsching, F. Hilkenmeier, European Journal of Engineering Education 40 (2015) 683–701.
Safe Gap based (SG) reactive navigation for mobile robots
M. Mujahed, D. Fischer, B. Mertsching, in: 2013 European Conference on Mobile Robots, IEEE, 2014.
Interactive WebGL-based 3D Visualizations for Situated Mathematics Teaching
M. Hennig, D. Gaspers, B. Mertsching, in: 12th International Conference on Information Technology Based Higher Education and Training (ITHET), IEEE, 2013.
A Prototyping Environment for Integrated Artificial Attention Systems
J. Tünnermann, M. Hennig, M. Silbernagel, B. Mertsching, in: 6th International Symposium on Attention in Cognitive Systems, 2013.
Closest Gap Based (CG) Reactive Obstacle Avoidance Navigation for Highly Cluttered Environments
M. Mujahad, D. Fischer, B. Mertsching, H. Jaddu, in: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, 2010.
KI 2009: Advances in Artificial Intelligence
B. Mertsching, M. Hund, Z. Aziz, eds., KI 2009: Advances in Artificial Intelligence, Springer Berlin Heidelberg, Berlin, Heidelberg, 2009.
Occlusion as a Monocular Depth Cue Derived from Illusory Contour Perception
M. Hund, B. Mertsching, in: KI 2009: Advances in Artificial Intelligence, Springer Berlin Heidelberg, Berlin, Heidelberg, 2009.
Perzeptuelle Organisation von Objektgrenzen unter Verwendung anisotroper Regularisierungsmethoden
M. Hund, Perzeptuelle Organisation von Objektgrenzen Unter Verwendung Anisotroper Regularisierungsmethoden, 2009.
Anisotropic diffusion by Quadratic Regularization
M. Hund, B. Mertsching, in: A. Ranchordas, H. Araújo, INSTICC - Institute for Systems and Technologies of Information, Control and Communication (Eds.), VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, 2008.
Depth Ordering and Figure-Ground Segregation in Monocular Images derived from Illusory Contour Perception
M. Hund, B. Mertsching, in: 17th European Conference on Artificial Intelligence (ECAI 2006), 2006.
Stereo matching with occlusion detection using cost relaxation
R. Brockers, M. Hund, B. Mertsching, in: IEEE International Conference on Image Processing 2005, IEEE, 2005.
A Computational Approach to Illusory Contour Perception Based on the Tensor Voting Technique
M. Hund, B. Mertsching, in: 10th Ibero-American Congress on Pattern Recognition (XCIARP), Springer Berlin Heidelberg, Berlin, Heidelberg, 2005.
Fast stereo vision for mobile robots by global minima of cost functions
R. Brockers, M. Hund, B. Mertsching, in: 6th IEEE Southwest Symposium on Image Analysis and Interpretation, 2004., IEEE, 2004.
A Fast Cost Relaxation Stereo Algorithm with Occlusion Detection for Mobile Robot Applications
R. Brockers, M. Hund, B. Mertsching, in: 9th International Fall Workshop on Vision, Modeling, and Visualization, VMV 2004, 2004, pp. 47–53.
Tiefenwahrnehmung für sichtgesteuerte mobile Roboter, Workshopbeitrag
M. Hund, R. Brockers, S. Drüe, in: 2003.
Disparitätsbestimmung aus Stereobildern auf der Basis von Kostenfunktionen
M. Hund, Disparitätsbestimmung Aus Stereobildern Auf Der Basis von Kostenfunktionen, 2002.
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