@article{MTMT:3283249, title = {Autonomous Path Planning for Road Vehicles in Narrow Environments: An Efficient Continuous-Curvature Approach}, url = {https://m2.mtmt.hu/api/publication/3283249}, author = {Kiss, Domokos and Tevesz, Gábor}, doi = {10.1155/2017/2521638}, journal-iso = {J ADV TRANSPORT}, journal = {JOURNAL OF ADVANCED TRANSPORTATION}, volume = {2017}, unique-id = {3283249}, issn = {0197-6729}, year = {2017}, eissn = {2042-3195}, orcid-numbers = {Kiss, Domokos/0000-0001-9686-9795} } @inproceedings{MTMT:3111863, title = {Edge Preserving Range Image Smoothing by Rotated Bilateral Sampling}, url = {https://m2.mtmt.hu/api/publication/3111863}, author = {Kovács, Viktor and Csorba, Kristóf and Tevesz, Gábor}, booktitle = {4th Eastern European Regional Conference on the Engineering of Computer Based Systems (ECBS-EERC) 2015}, doi = {10.1109/ECBS-EERC.2015.22}, unique-id = {3111863}, abstract = {In this paper we deal with (step and crease) edge preserving smoothing and normal estimation in low depth-resolution range images. As a result of short base distance stereo, compression or scene geometry, such range images consist of few discrete range values. We propose a method for smoothing such range images by interpolation while preserving boundary and crease edges, and estimating surface normals. The proposed method is based on rotated weighting sampling matrices and iso-range curves extracted from the range data. Samples and weights are selected using a rotated weight matrix and planar surfaces are fitted. Based on the fitting error, the best fit is selected to estimate the surface normal and interpolate surface points in such sparse dataset. Fitting error distribution is also used for estimating crease edge score. Such low-level understanding of range images can be utilized in further processing steps such as segmentation, localization, mapping, object detection etc. The output of the algorithm is presented and evaluated using both simulation and real range image data. It is shown that such sampling preserves crease edges and provides lower estimation errors for interpolated range image points.}, keywords = {Edge detection; Smoothing; bilateral filter; range image}, year = {2015}, pages = {91-97} } @article{MTMT:2937669, title = {Camera Placement Optimization in Object Localization Systems}, url = {https://m2.mtmt.hu/api/publication/2937669}, author = {Szalóki, Dávid and Kolumbán, Sándor and Csorba, Kristóf and Tevesz, Gábor}, doi = {10.14232/actacyb.22.1.2015.13}, journal-iso = {ACTA CYBERN-SZEGED}, journal = {ACTA CYBERNETICA}, volume = {22}, unique-id = {2937669}, issn = {0324-721X}, year = {2015}, eissn = {2676-993X}, pages = {211-228} } @inproceedings{MTMT:2921761, title = {Edge-aware Normal Estimation by Rotated Bilateral Sampling}, url = {https://m2.mtmt.hu/api/publication/2921761}, author = {Kovács, Viktor and Tevesz, Gábor}, booktitle = {23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision}, unique-id = {2921761}, year = {2015}, pages = {99-106} } @inproceedings{MTMT:2856330, title = {Edge detection in discretized range images}, url = {https://m2.mtmt.hu/api/publication/2856330}, author = {Kovács, Viktor and Tevesz, Gábor}, booktitle = {2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI)}, doi = {10.1109/CINTI.2014.7028676}, unique-id = {2856330}, year = {2014}, pages = {203-208} } @CONFERENCE{MTMT:2823564, title = {The RTR Path Planner for Differential Drive Robots}, url = {https://m2.mtmt.hu/api/publication/2823564}, author = {Kiss, Domokos and Tevesz, Gábor}, booktitle = {Proceedings of the 16th international workshop on computer science and information technologies}, unique-id = {2823564}, year = {2014}, pages = {1-6} } @inproceedings{MTMT:2735985, title = {Optimizing Camera Placement in Motion Tracking Systems}, url = {https://m2.mtmt.hu/api/publication/2735985}, author = {Szalóki, Dávid and Csorba, Kristóf and Tevesz, Gábor}, booktitle = {11th International Conference on Informatics in Control, Automation and Robotics (ICINCO)}, doi = {10.5220/0005012202880295}, unique-id = {2735985}, year = {2014}, pages = {288-295} } @inproceedings{MTMT:2735806, title = {Plane Segmentation in Discretized Range Images}, url = {https://m2.mtmt.hu/api/publication/2735806}, author = {Kovács, Viktor and Tevesz, Gábor}, booktitle = {Workshops on Electrical and Computer Engineering Subfields}, unique-id = {2735806}, year = {2014}, pages = {184-189} } @inproceedings{MTMT:2699111, title = {A Steering Method for the Kinematic Car using C*CS Paths}, url = {https://m2.mtmt.hu/api/publication/2699111}, author = {Kiss, Domokos and Tevesz, Gábor}, booktitle = {2014 15th International Carpathian Control Conference (ICCC)}, doi = {10.1109/CarpathianCC.2014.6843602}, unique-id = {2699111}, abstract = {A steering method for local path generation of car-like robots is presented in this paper. It is shown that in the absence of obstacles there are infinitely many solutions between two arbitrary configurations in the form of C*CS paths. This property facilitates the application of this class of paths in global planning algorithms where collisions with obstacles have to be avoided. In addition, we show that the steering method based on C*CS paths satisfies the topological property, hence a complete path planning algorithm can be constructed based on it.}, keywords = {MOBILE ROBOTS; Mobile robot; path planning; topological property; kinematic constraints; car-like vehicle}, year = {2014}, pages = {227-232}, orcid-numbers = {Kiss, Domokos/0000-0001-9686-9795} } @CONFERENCE{MTMT:2735799, title = {Layer Based Approach of Corner Detection and Classification in Quantized Range Images}, url = {https://m2.mtmt.hu/api/publication/2735799}, author = {Kovács, Viktor and Tevesz, Gábor}, booktitle = {3rd Eastern European Regional Conference on the Engineering of Computer Based Systems (ECBS-EERC 2013)}, unique-id = {2735799}, year = {2013}, pages = {95-102} }