Stabilization and validation of 3D object position using multimodal sensor fusion and semantic segmentation MP Muresan, I Giosan, S Nedevschi Sensors 20 (4), 1110, 2020 | 77 | 2020 |
Super-sensor for 360-degree Environment Perception: Point Cloud Segmentation Using Image Features R Varga, A Costea, H Florea, I Giosan, S Nedevschi IEEE Intelligent Transportation Systems Conference (ITSC), 2017 | 57 | 2017 |
UV disparity based obstacle detection and pedestrian classification in urban traffic scenarios A Iloie, I Giosan, S Nedevschi Intelligent Computer Communication and Processing (ICCP), 2014 IEEE …, 2014 | 33 | 2014 |
Real-time object detection using a sparse 4-layer LIDAR MP Muresan, S Nedevschi, I Giosan 2017 13th IEEE International Conference on Intelligent Computer …, 2017 | 21 | 2017 |
Enhanced perception for autonomous driving using semantic and geometric data fusion H Florea, A Petrovai, I Giosan, F Oniga, R Varga, S Nedevschi Sensors 22 (13), 5061, 2022 | 18 | 2022 |
Superpixel-based obstacle segmentation from dense stereo urban traffic scenarios using intensity, depth and optical flow information I Giosan, S Nedevschi 17th international IEEE conference on intelligent transportation systems …, 2014 | 15 | 2014 |
Animal detection from traffic scenarios based on monocular color vision G Jaskó, I Giosan, S Nedevschi 2017 13th IEEE International Conference on Intelligent Computer …, 2017 | 13 | 2017 |
Automatic Vision Inspection Solution for the Manufacturing Process of Automotive Components Through Plastic Injection Molding MP Muresan, DG Cireap, I Giosan 2020 IEEE 16th International Conference on Intelligent Computer …, 2020 | 11 | 2020 |
Real time stereo vision based pedestrian detection using full body contours I Giosan, S Nedevschi, S Bota 2009 IEEE 5th International Conference on Intelligent Computer Communication …, 2009 | 11 | 2009 |
Curb detection in urban traffic scenarios using LiDARs point cloud and semantically segmented color images SEC Deac, I Giosan, S Nedevschi 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3433-3440, 2019 | 10 | 2019 |
Pedestrian detection in the context of multiple-sensor data alignment for far-infrared and stereo vision sensors R Brehar, C Vancea, T Mariţa, I Giosan, S Nedevschi Intelligent Computer Communication and Processing (ICCP), 2015 IEEE …, 2015 | 8 | 2015 |
Building pedestrian contour hierarchies for improving detection in traffic scenes I Giosan, S Nedevschi International Conference on Computer Vision and Graphics, 154-163, 2008 | 7 | 2008 |
A solution for probabilistic inference and tracking of obstacles classification in urban traffic scenarios I Giosan, S Nedevschi 2012 IEEE 8th International Conference on Intelligent Computer Communication …, 2012 | 5 | 2012 |
Body gesture validation using multi-dimensional dynamic time warping on Kinect data L Patras, I Giosan, S Nedevschi 2015 IEEE International Conference on Intelligent Computer Communication and …, 2015 | 4 | 2015 |
Shape improvement of traffic pedestrian hypotheses by means of stereo-vision and superpixels I Giosan, S Nedevschi, C Pocol 2015 IEEE International Conference on Intelligent Computer Communication and …, 2015 | 3 | 2015 |
A modern approach for positional football analysis using computer vision MB Jurca, I Giosan 2022 IEEE 18th International Conference on Intelligent Computer …, 2022 | 2 | 2022 |
Multi-feature real time pedestrian detection from dense stereo SORT-SGM reconstructed urban traffic scenarios I Giosan, S Nedevschi International Conference on Computer Vision Theory and Applications (VISAPP …, 2014 | 2 | 2014 |
Urban traffic dense-stereo obstacle classification using boosting over visual codebook features I Giosan, AD Costea, S Nedevschi 2013 IEEE 9th International Conference on Intelligent Computer Communication …, 2013 | 2 | 2013 |
Height restriction barriers detection from traffic scenarios using stereo-vision MI Barbu, I Giosan, T Marita 2015 IEEE International Conference on Intelligent Computer Communication and …, 2015 | 1 | 2015 |
Pedestrian detection from traffic scenes based on probabilistic models of the contour fragments F Florian, I Giosan, S Nedevschi 2013 IEEE 9th International Conference on Intelligent Computer Communication …, 2013 | 1 | 2013 |