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ORCIDSergiu Nedevschi
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- affiliation: Technical University of Cluj-Napoca, Romania
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2020 – today
- 2023
[j37]Delia Alexandrina Mitrea
, Raluca Brehar, Sergiu Nedevschi, Monica Lupsor Platon, Mihai Socaciu, Radu Badea:
Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques. Sensors 23(5): 2520 (2023)- [c199]Mircea Paul Muresan, Robert Schlanger, Radu Danescu, Sergiu Nedevschi:
Real-Time Obstacle Detection using a Pillar-based Representation and a Parallel Architecture on the GPU from LiDAR Measurements. VISIGRAPP (5: VISAPP) 2023: 779-787 - [c198]Andra Petrovai, Sergiu Nedevschi:
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation. WACV 2023: 3076-3085 - 2022
- [j36]Andra Petrovai, Sergiu Nedevschi:
Fast Panoptic Segmentation with Soft Attention Embeddings. Sensors 22(3): 783 (2022) - [j35]Horatiu Florea, Andra Petrovai, Ion Giosan, Florin Oniga, Robert Varga, Sergiu Nedevschi:
Enhanced Perception for Autonomous Driving Using Semantic and Geometric Data Fusion. Sensors 22(13): 5061 (2022) - [j34]Vlad-Cristian Miclea, Sergiu Nedevschi:
Monocular Depth Estimation With Improved Long-Range Accuracy for UAV Environment Perception. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j33]Andra Petrovai, Sergiu Nedevschi:
Semantic Cameras for 360-Degree Environment Perception in Automated Urban Driving. IEEE Trans. Intell. Transp. Syst. 23(10): 17271-17283 (2022) - [c197]Andra Petrovai, Sergiu Nedevschi:
Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation. CVPR 2022: 1568-1578 - [c196]Radu Beche, Sergiu Nedevschi:
Efficient HD Map encoding via disentangled style-structure representation using graph neural networks. ICCP 2022: 119-128 - [c195]Corvin-Petrut Cobârzan, Catalin-Cosmin Golban, Sergiu Nedevschi:
Noise Tolerance of Linear vs Non-Linear LiDAR Based Ego-Motion Drift Correction Methods. ICCP 2022: 183-188 - [c194]Bogdan Maxim, Sergiu Nedevschi:
aSDF: Reconstructing Real-Time Signed Distance Fields with Enhanced Attention. ICCP 2022: 189-197 - [c193]Bianca-Cerasela-Zelia Blaga, Sergiu Nedevschi:
Employing Simulators for Collision-Free Autonomous UAV Navigation. ICCP 2022: 313-318 - [c192]Horatiu Florea, Sergiu Nedevschi:
Survey on Monocular Depth Estimation for Unmanned Aerial Vehicles using Deep Learning. ICCP 2022: 319-326 - [c191]Andra Petrovai, Sergiu Nedevschi:
Time-Space Transformers for Video Panoptic Segmentation. WACV 2022: 2643-2652 - [i2]Andra Petrovai, Sergiu Nedevschi:
Time-Space Transformers for Video Panoptic Segmentation. CoRR abs/2210.03546 (2022) - [i1]Andra Petrovai, Sergiu Nedevschi:
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation. CoRR abs/2210.07577 (2022) - 2021
- [j32]Raluca Didona Brehar, Mircea Paul Muresan, Tiberiu Marita, Cristian-Cosmin Vancea, Mihai Negru, Sergiu Nedevschi:
Pedestrian Street-Cross Action Recognition in Monocular Far Infrared Sequences. IEEE Access 9: 74302-74324 (2021) - [j31]Delia Mitrea, Radu Badea, Paulina Mitrea, Stelian Brad, Sergiu Nedevschi:
Hepatocellular Carcinoma Automatic Diagnosis within CEUS and B-Mode Ultrasound Images Using Advanced Machine Learning Methods. Sensors 21(6): 2202 (2021) - [j30]Mircea Paul Muresan, Sergiu Nedevschi, Radu Danescu:
Robust Data Association Using Fusion of Data-Driven and Engineered Features for Real-Time Pedestrian Tracking in Thermal Images. Sensors 21(23): 8005 (2021) - [c190]Bianca-Cerasela-Zelia Blaga, Sergiu Nedevschi:
Weakly Supervised Semantic Segmentation Learning on UAV Video Sequences. EUSIPCO 2021: 731-735 - [c189]Raluca Didona Brehar, Cristian-Cosmin Vancea, Mircea Paul Muresan, Sergiu Nedevschi, Radu Danescu:
Pose Based Pedestrian Street Cross Action Recognition in Infrared Images. ICCP 2021: 41-46 - [c188]Selma Deac, Flaviu Ionut Vancea, Sergiu Nedevschi:
MVGNet: 3D object detection using Multi-Volume Grid representation in urban traffic scenarios. ICCP 2021: 101-108 - [c187]Bogdan Maxim, Sergiu Nedevschi:
OccTransformers: Learning occupancy using attention. ICCP 2021: 219-226 - [c186]Mircea Paul Muresan, Marchis Raul, Sergiu Nedevschi, Radu Danescu:
Stereo and Mono Depth Estimation Fusion for an Improved and Fault Tolerant 3D Reconstruction. ICCP 2021: 233-240 - [c185]Bogdan Maxim, Sergiu Nedevschi:
A survey on the current state of the art on deep learning 3D reconstruction. ICCP 2021: 283-290 - [c184]Horatiu Florea, Vlad-Cristian Miclea, Sergiu Nedevschi:
WildUAV: Monocular UAV Dataset for Depth Estimation Tasks. ICCP 2021: 291-298 - [c183]Catalin-Cosmin Golban, Corvin-Petrut Cobârzan, Sergiu Nedevschi:
Visual Odometry Drift Reduction Based on LiDAR Point Clouds Alignment. ICCP 2021: 353-358 - 2020
- [j29]Mircea Paul Muresan, Ion Giosan, Sergiu Nedevschi:
Stabilization and Validation of 3D Object Position Using Multimodal Sensor Fusion and Semantic Segmentation. Sensors 20(4): 1110 (2020) - [j28]Raluca Brehar, Delia Alexandrina Mitrea, Flaviu Ionut Vancea, Tiberiu Marita, Sergiu Nedevschi, Monica Lupsor Platon, Magda Rotaru, Radu Badea:
Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images. Sensors 20(11): 3085 (2020) - [j27]Vlad-Cristian Miclea, Sergiu Nedevschi:
Real-Time Semantic Segmentation-Based Stereo Reconstruction. IEEE Trans. Intell. Transp. Syst. 21(4): 1514-1524 (2020) - [c182]Catalin Golban, Petrut Cobârzan, Sergiu Nedevschi:
A Comparison Study on Replacing Stereo Disparity with LiDAR in Visual Odometry Methods. ICCP 2020: 277-282 - [c181]Sorana Baciu, Florin Oniga, Sergiu Nedevschi:
Semantic 3D Obstacle Detection Using an Enhanced Probabilistic Voxel Octree Representation. ICCP 2020: 293-298 - [c180]Bianca-Cerasela-Zelia Blaga, Sergiu Nedevschi:
A Critical Evaluation of Aerial Datasets for Semantic Segmentation. ICCP 2020: 353-360 - [c179]Radu Beche, Sergiu Nedevschi:
Narrowing the semantic gap between real and synthetic data. ICCP 2020: 361-367 - [c178]Vasile Lup, Sergiu Nedevschi:
Video Semantic Segmentation leveraging Dense Optical Flow. ICCP 2020: 369-376 - [c177]Bogdan Maxim, Sergiu Nedevschi:
Efficient spatio-temporal point convolution. ICCP 2020: 377-382 - [c176]Dan-Sebastian Bacea, Delia Alexandrina Mitrea, Sergiu Nedevschi, Radu Badea:
Adversarial Graph Learning and Deep Learning Techniques for improving diagnosis within CT and Ultrasound images. ICCP 2020: 449-456 - [c175]Mircea Paul Muresan, Andrei Razvan Barbura, Sergiu Nedevschi:
Teeth Detection and Dental Problem Classification in Panoramic X-Ray Images using Deep Learning and Image Processing Techniques. ICCP 2020: 457-463 - [c174]Vlad-Cristian Miclea, Sergiu Nedevschi:
SGM-MDE: Semi-global optimization for classification-based monocular depth estimation. IROS 2020: 10489-10496 - [c173]Vlad-Cristian Miclea, Sergiu Nedevschi:
A unified method for improving long-range accuracy of stereo and monocular depth estimation algorithms. IV 2020: 1234-1241 - [c172]Andra Petrovai, Sergiu Nedevschi:
Real-Time Panoptic Segmentation with Prototype Masks for Automated Driving. IV 2020: 1400-1406 - [c171]Dejan Dimitrijevic, Vladimir Todorovic, Nemanja Nedic, Igor Zecevic, Sergiu Nedevschi:
Toolbox for Azure Kinect COTS Device to be Used in Automatic Screening of Idiopathic Scoliosis. WorldCIST (2) 2020: 544-552 - [e2]Sergiu Nedevschi, Rodica Potolea, Radu Razvan Slavescu:
16th IEEE International Conference on Intelligent Computer Communication and Processing, ICCP 2020, Cluj-Napoca, Romania, September 3-5, 2020. IEEE 2020, ISBN 978-1-7281-9080-8 [contents]
2010 – 2019
- 2019
- [c170]Delia Mitrea, Sergiu Nedevschi, Paulina Mitrea, Monica Platon-Lupsor, Radu Badea:
HCC Recognition Within Ultrasound Images Employing Advanced Textural Features with Deep Learning Techniques. CISP-BMEI 2019: 1-6 - [c169]Ágota Faluvégi, Quentin Bolsee, Sergiu Nedevschi, Vasile-Teodor Dadârlat, Adrian Munteanu:
A 3D Convolutional Neural Network for Light Field Depth Estimation. IC3D 2019: 1-5 - [c168]Mircea Paul Muresan, Sergiu Nedevschi:
Multi-Object Tracking of 3D Cuboids Using Aggregated Features. ICCP 2019: 11-18 - [c167]Albert-Szabolcs Vaida, Sergiu Nedevschi:
Automatic Extrinsic Calibration of LIDAR and Monocular Camera Images. ICCP 2019: 117-124 - [c166]Raluca Brehar, Flaviu Ionut Vancea, Tiberiu Marita, Cristian Vancea, Sergiu Nedevschi:
Object Detection in Monocular Infrared Images Using Classification - Regresion Deep Learning Architectures. ICCP 2019: 207-212 - [c165]Andrei Baraian, Sergiu Nedevschi:
Improved 3D Perception based on Color Monocular Camera for MAV exploiting Image Semantic Segmentation. ICCP 2019: 295-301 - [c164]Bianca-Cerasela-Zelia Blaga, Sergiu Nedevschi:
Semantic Segmentation Learning for Autonomous UAVs using Simulators and Real Data. ICCP 2019: 303-310 - [c163]Mircea Paul Muresan, Paul Andrei Szabo, Sergiu Nedevschi:
Dot Matrix OCR for Bottle Validity Inspection. ICCP 2019: 395-401 - [c162]Flaviu Ionut Vancea, Delia Mitrea, Sergiu Nedevschi, Magda Rotaru, Horia Stefanescu, Radu Badea:
Hepatocellular Carcinoma Segmentation within Ultrasound Images using Convolutional Neural Networks. ICCP 2019: 483-490 - [c161]Raluca Brehar, Delia Mitrea, Sergiu Nedevschi, Monica Platon-Lupsor, Magda Rotaru, Radu Badea:
Hepatocellular Carcinoma Recognition in Ultrasound Images Using Textural Descriptors and Classical Machine Learning. ICCP 2019: 491-497 - [c160]Andra Petrovai, Sergiu Nedevschi:
Multi-task Network for Panoptic Segmentation in Automated Driving. ITSC 2019: 2394-2401 - [c159]Selma Evelyn Catalina Goga, Ion Giosan, Sergiu Nedevschi:
Curb detection in urban traffic scenarios using LiDARs point cloud and semantically segmented color images. ITSC 2019: 3433-3440 - [c158]Andra Petrovai, Sergiu Nedevschi:
Efficient Instance and Semantic Segmentation for Automated Driving. IV 2019: 2575-2581 - [e1]Sergiu Nedevschi, Rodica Potolea, Radu Razvan Slavescu:
15th IEEE International Conference on Intelligent Computer Communication and Processing, ICCP 2019, Cluj-Napoca, Romania, September 5-7, 2019. IEEE 2019, ISBN 978-1-7281-4914-1 [contents] - 2018
- [j26]Lorenzo Sabattini, Mika Aikio, Patric Beinschob, Markus Boehning, Elena Cardarelli, Valerio Digani, Annette Krengel, Massimiliano Magnani, Szilard Mandici, Fabio Oleari, Christoph Reinke, Davide Ronzoni, Christian Stimming, Robert Varga, Andrei Vatavu, Sergi Castells Lopez, Cesare Fantuzzi, Aki Mayra, Sergiu Nedevschi, Cristian Secchi, Kay Fuerstenberg:
The PAN-Robots Project: Advanced Automated Guided Vehicle Systems for Industrial Logistics. IEEE Robotics Autom. Mag. 25(1): 55-64 (2018) - [c157]Florin Oniga, Sergiu Nedevschi:
A Fast Ransac Based Approach for Computing the Orientation of Obstacles in Traffic Scenes. ICCP 2018: 209-214 - [c156]Mircea Paul Muresan, Sergiu Nedevschi:
Multimodal sparse LIDAR object tracking in clutter. ICCP 2018: 215-221 - [c155]Horatiu Florea, Robert Varga, Sergiu Nedevschi:
Environment Perception Architecture using Images and 3D Data. ICCP 2018: 223-228 - [c154]Raluca Brehar, Flaviu Ionut Vancea, Tiberiu Marita, Sergiu Nedevschi:
A Deep Learning Approach For Pedestrian Segmentation In Infrared Images. ICCP 2018: 253-258 - [c153]Flaviu Ionut Vancea, Sergiu Nedevschi:
Semantic information based vehicle relative orientation and taillight detection. ICCP 2018: 259-264 - [c152]Bianca-Cerasela-Zelia Blaga, Sergiu Nedevschi:
A Method for Automatic Pole Detection from Urban Video Scenes using Stereo Vision. ICCP 2018: 293-300 - [c151]Selma Evelyn Catalina Goga, Sergiu Nedevschi:
Fusing semantic labeled camera images and 3D LiDAR data for the detection of urban curbs. ICCP 2018: 301-308 - [c150]Delia Mitrea, Sergiu Nedevschi, Radu Badea:
Automatic Recognition of the Hepatocellular Carcinoma from Ultrasound Images using Complex Textural Microstructure Co-Occurrence Matrices (CTMCM). ICPRAM 2018: 178-189 - [c149]Vlad-Cristian Miclea, Liviu Miclea, Sergiu Nedevschi:
Real-time Stereo Reconstruction Failure Detection and Correction using Deep Learning. ITSC 2018: 1095-1102 - [c148]Arthur Daniel Costea, Andra Petrovai, Sergiu Nedevschi:
Fusion Scheme for Semantic and Instance-level Segmentation. ITSC 2018: 3469-3475 - [c147]Vlad-Cristian Miclea, Sergiu Nedevschi:
Real-time Semantic Segmentation-based Depth Upsampling using Deep Learning. Intelligent Vehicles Symposium 2018: 300-306 - 2017
- [c146]Delia Mitrea, Sergiu Nedevschi, Paulina Mitrea, Monica Platon-Lupsor, Radu Badea:
The role of the cooccurrence matrix based on complex extended microstructures in discovering the cirrhosis severity grades within US images. CISP-BMEI 2017: 1-6 - [c145]Arthur Daniel Costea, Robert Varga, Sergiu Nedevschi:
Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features. CVPR 2017: 993-1002 - [c144]Flaviu Ionut Vancea, Arthur Daniel Costea, Sergiu Nedevschi:
Vehicle taillight detection and tracking using deep learning and thresholding for candidate generation. ICCP 2017: 267-272 - [c143]Bianca-Cerasela-Zelia Blaga, Sergiu Nedevschi:
Online cross-calibration of camera and LIDAR. ICCP 2017: 295-301 - [c142]Selma Goga, Sergiu Nedevschi:
An approach for segmenting 3D LiDAR data using multi-volume grid structures. ICCP 2017: 309-315 - [c141]Mircea Paul Muresan, Sergiu Nedevschi, Ion Giosan:
Real-time object detection using a sparse 4-layer LIDAR. ICCP 2017: 317-322 - [c140]Robert Varga, Sergiu Nedevschi:
Lazy feature extraction and boosted classifiers for object detection. ICCP 2017: 325-330 - [c139]Gyorgy Jasko, Ion Giosan, Sergiu Nedevschi:
Animal detection from traffic scenarios based on monocular color vision. ICCP 2017: 363-368 - [c138]Robert Varga, Arthur Daniel Costea, Horatiu Florea, Ion Giosan, Sergiu Nedevschi:
Super-sensor for 360-degree environment perception: Point cloud segmentation using image features. ITSC 2017: 1-8 - [c137]Arthur Daniel Costea, Sergiu Nedevschi:
Traffic scene segmentation based on boosting over multimodal low, intermediate and high order multi-range channel features. Intelligent Vehicles Symposium 2017: 74-81 - [c136]Andra Petrovai, Arthur Daniel Costea, Sergiu Nedevschi:
Semi-automatic image annotation of street scenes. Intelligent Vehicles Symposium 2017: 448-455 - [c135]Vlad-Cristian Miclea, Sergiu Nedevschi:
Semantic segmentation-based stereo reconstruction with statistically improved long range accuracy. Intelligent Vehicles Symposium 2017: 1795-1802 - [c134]Mircea Paul Muresan, Sergiu Nedevschi, Radu Danescu:
A Multi Patch Warping Approach for Improved Stereo Block Matching. VISIGRAPP (6: VISAPP) 2017: 459-466 - 2016
- [c133]Arthur Daniel Costea, Sergiu Nedevschi:
Semantic Channels for Fast Pedestrian Detection. CVPR 2016: 2360-2368 - [c132]Delia Mitrea, Sergiu Nedevschi, Monica Platon-Lupsor, Radu Badea:
Advanced Texture Analysis Techniques for Building Textural Models, with Applications in the Study of the Pathology Evolution Stages, based on Ultrasound Images. EPS 2016 - [c131]Vlad-Cristian Miclea, Sergiu Nedevschi:
Optimizing Census-based Semi Global Matching by genetic algorithms. ICCP 2016: 193-198 - [c130]Claudiu Decean, Sergiu Nedevschi:
Stereoscopic scene flow estimation with global motion prior. ICCP 2016: 199-206 - [c129]Bogdan Coseriu, Mihai Negru, Sergiu Nedevschi:
Contrast restoration of foggy images on the ZYNQ embedded platform. ICCP 2016: 207-214 - [c128]Cristian-Cosmin Vancea, Sergiu Nedevschi:
FPGA-based stereo vision hardware for generating dense disparity maps. ICCP 2016: 225-232 - [c127]Raluca Brehar, Cristian Vancea, Florin Oniga, Mihai Negru, Sergiu Nedevschi:
A study of the impact of HOG and LBP based temporal association on far infrared pedestrian detection. ICCP 2016: 263-268 - [c126]Anca Nicoleta Marginean, Andra Petrovai, Radu Razvan Slavescu, Mihai Negru, Sergiu Nedevschi:
Enhancing digital maps to support reasoning on traffic sign compliance. ICCP 2016: 277-284 - [c125]Sergiu Nedevschi:
Foreword. ICCP 2016 - [c124]Andra Petrovai, Radu Gabriel Danescu, Mihai Negru, Cristian-Cosmin Vancea, Sergiu Nedevschi:
A stereovision based rear-end collision warning system on mobile devices. ICCP 2016: 285-292 - [c123]Mircea Paul Muresan, Sergiu Nedevschi, Radu Danescu:
Patch warping and local constraints for improved block matching stereo correspondence. ICCP 2016: 321-327 - [c122]Delia Mitrea, Sergiu Nedevschi, Radu Badea:
The Role of the Complex Extended Textural Microstructure Co-occurrence Matrix in the Unsupervised Detection of the HCC Evolution Phases, based on Ultrasound Images. ICPRAM 2016: 698-705 - [c121]Szilard Mandici, Sergiu Nedevschi:
Real-time multi-resolution digital elevation map creation using the sensor model of a stereovision sensor. ITSC 2016: 608-615 - [c120]Arthur Daniel Costea, Sergiu Nedevschi:
Fast traffic scene segmentation using multi-range features from multi-resolution filtered and spatial context channels. Intelligent Vehicles Symposium 2016: 328-334 - [c119]Cristian-Cosmin Vancea, Vlad-Cristian Miclea, Sergiu Nedevschi:
Improving stereo reconstruction by sub-pixel correction using histogram matching. Intelligent Vehicles Symposium 2016: 335-341 - [c118]Robert Varga, Sergiu Nedevschi:
Robust Pallet Detection for Automated Logistics Operations. VISIGRAPP (4: VISAPP) 2016: 470-477 - [c117]Ion Giosan, Sergiu Nedevschi:
Superpixels in Pedestrian Detection from Stereo Images in Urban Traffic Scenarios. VISIGRAPP (4: VISAPP) 2016: 501-508 - 2015
- [j25]Voichita Popescu, Sergiu Nedevschi, Radu Danescu, Tiberiu Marita:
A Lane Assessment Method Using Visual Information Based on a Dynamic Bayesian Network. J. Intell. Transp. Syst. 19(3): 225-239 (2015) - [j24]Anca Ciurte, Sergiu Nedevschi, Ioan Rasa:
Systems of nonlinear algebraic equations with unique solution. Numer. Algorithms 68(2): 367-376 (2015) - [j23]Cristian Vicas, Sergiu Nedevschi:
Detecting Curvilinear Features Using Structure Tensors. IEEE Trans. Image Process. 24(11): 3874-3887 (2015) - [j22]Andrei Vatavu, Radu Danescu, Sergiu Nedevschi:
Stereovision-Based Multiple Object Tracking in Traffic Scenarios Using Free-Form Obstacle Delimiters and Particle Filters. IEEE Trans. Intell. Transp. Syst. 16(1): 498-511 (2015) - [j21]Mihai Negru, Sergiu Nedevschi, Radu Ioan Peter:
Exponential Contrast Restoration in Fog Conditions for Driving Assistance. IEEE Trans. Intell. Transp. Syst. 16(4): 2257-2268 (2015) - [c116]Radu Danescu, Andra Petrovai, Razvan Itu, Sergiu Nedevschi:
Generic Obstacle Detection for Mobile Devices Using a Dynamic Intermediate Representation. AECIA 2015: 629-639 - [c115]Vlad-Cristian Miclea, Cristian-Cosmin Vancea, Sergiu Nedevschi:
New sub-pixel interpolation functions for accurate real-time stereo-matching algorithms. ICCP 2015: 173-178 - [c114]Mircea Paul Muresan, Mihai Negru, Sergiu Nedevschi:
Improving local stereo algorithms using binary shifted windows, fusion and smoothness constraint. ICCP 2015: 179-185 - [c113]Claudiu Decean, Sergiu Nedevschi:
Fusion of stereo and structure from motion for enhancing PatchMatch stereo. ICCP 2015: 187-193 - [c112]Catalin Golban, Petrut Cobârzan, Sergiu Nedevschi:
Direct formulas for stereo-based visual odometry error modeling. ICCP 2015: 197-202 - [c111]Szilard Mandici, Sergiu Nedevschi:
Probabilistic inverse sensor model based Digital Elevation Map creation for an omnidirectional stereovision system. ICCP 2015: 231-237 - [c110]Sergiu Nedevschi:
Foreword. ICCP 2015 - [c109]Florin Oniga, Ervin Sarkozi, Sergiu Nedevschi:
Fast obstacle detection using U-disparity maps with stereo vision. ICCP 2015: 203-207 - [c108]Ion Giosan, Sergiu Nedevschi, Ciprian Pocol:
Shape improvement of traffic pedestrian hypotheses by means of stereo-vision and superpixels. ICCP 2015: 217-222 - [c107]Aki Mayra, Mika Aikio, Kai Ojala, Szilard Mandici, Andrei Vatavu, Sergiu Nedevschi:
Fisheye optics for omnidirectional stereo camera performance evaluation for AGV applications. ICCP 2015: 225-230 - [c106]Christian Stimming, Annette Krengel, Markus Boehning, Andrei Vatavu, Szilard Mandici, Sergiu Nedevschi:
Multi-level on-board data fusion for 2D safety enhanced by 3D perception for AGVs. ICCP 2015: 239-244 - [c105]