| 3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes A Asvadi, C Premebida, P Peixoto, U Nunes Robotics and Autonomous Systems 83, 299-311, 2016 | 297 | 2016 |
| A lidar and vision-based approach for pedestrian and vehicle detection and tracking C Premebida, G Monteiro, U Nunes, P Peixoto 2007 IEEE intelligent transportation systems conference, 1044-1049, 2007 | 282 | 2007 |
| LIDAR and vision‐based pedestrian detection system C Premebida, O Ludwig, U Nunes Journal of Field Robotics 26 (9), 696-711, 2009 | 274 | 2009 |
| Multimodal vehicle detection: fusing 3D-LIDAR and color camera data A Asvadi, L Garrote, C Premebida, P Peixoto, UJ Nunes Pattern Recognition Letters 115, 20-29, 2018 | 251 | 2018 |
| Pedestrian detection combining RGB and dense LIDAR data C Premebida, J Carreira, J Batista, U Nunes 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 235 | 2014 |
| Segmentation and geometric primitives extraction from 2d laser range data for mobile robot applications C Premebida, U Nunes Robotica 2005, 17-25, 2005 | 194 | 2005 |
| Exploiting LIDAR-based features on pedestrian detection in urban scenarios C Premebida, O Ludwig, U Nunes 2009 12th International IEEE Conference on Intelligent Transportation …, 2009 | 134 | 2009 |
| DepthCN: Vehicle detection using 3D-LIDAR and ConvNet A Asvadi, L Garrote, C Premebida, P Peixoto, UJ Nunes 2017 IEEE 20th international conference on intelligent transportation …, 2017 | 124 | 2017 |
| A probabilistic approach for human everyday activities recognition using body motion from RGB-D images DR Faria, C Premebida, U Nunes The 23rd IEEE international symposium on robot and human interactive …, 2014 | 120 | 2014 |
| Pedestrian detection in far infrared images D Olmeda, C Premebida, U Nunes, JM Armingol, A de la Escalera Integrated Computer-Aided Engineering 20 (4), 347-360, 2013 | 114 | 2013 |
| High-resolution lidar-based depth mapping using bilateral filter C Premebida, L Garrote, A Asvadi, AP Ribeiro, U Nunes 2016 IEEE 19th international conference on intelligent transportation …, 2016 | 77 | 2016 |
| Fusing LIDAR, camera and semantic information: A context-based approach for pedestrian detection C Premebida, U Nunes The International Journal of Robotics Research 32 (3), 371-384, 2013 | 76 | 2013 |
| A multi-target tracking and GMM-classifier for intelligent vehicles C Premebida, U Nunes 2006 IEEE Intelligent Transportation Systems Conference, 313-318, 2006 | 76 | 2006 |
| Tracking and classification of dynamic obstacles using laser range finder and vision G Monteiro, C Premebida, P Peixoto, U Nunes Proc. of the IEEE/RSJ International Conference on Intelligent Robots and …, 2006 | 70 | 2006 |
| Probabilistic human daily activity recognition towards robot-assisted living DR Faria, M Vieira, C Premebida, U Nunes 2015 24th IEEE international symposium on robot and human interactive …, 2015 | 57 | 2015 |
| Multimodal CNN pedestrian classification: a study on combining LIDAR and camera data G Melotti, C Premebida, NMMS Gonçalves, UJC Nunes, DR Faria 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 52 | 2018 |
| Road detection using high resolution lidar R Fernandes, C Premebida, P Peixoto, D Wolf, U Nunes 2014 IEEE Vehicle Power and Propulsion Conference (VPPC), 1-6, 2014 | 52 | 2014 |
| Intelligent robotic perception systems C Premebida, R Ambrus, ZC Marton Applications of Mobile Robots, 111-127, 2018 | 48 | 2018 |
| Affective facial expressions recognition for human-robot interaction DR Faria, M Vieira, FCC Faria, C Premebida 2017 26th IEEE international symposium on robot and human interactive …, 2017 | 48 | 2017 |
| Multimodal deep-learning for object recognition combining camera and LIDAR data G Melotti, C Premebida, N Gonçalves 2020 IEEE International Conference on Autonomous Robot Systems and …, 2020 | 47 | 2020 |
Urbano José C. NunesProfessor, Electrical and Computer Engineering Dept., University of CoimbraVerified email at deec.uc.pt
