| 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 | 286 | 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 | 277 | 2007 |
| 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 | 236 | 2018 |
| 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 | 116 | 2017 |
| 3D object tracking using RGB and LIDAR data A Asvadi, P Girao, P Peixoto, U Nunes 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 91 | 2016 |
| Detection and tracking of moving objects using 2.5 d motion grids A Asvadi, P Peixoto, U Nunes 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 87 | 2015 |
| On exploration of classifier ensemble synergism in pedestrian detection L Oliveira, U Nunes, P Peixoto IEEE Transactions on Intelligent Transportation Systems 11 (1), 16-27, 2009 | 86 | 2009 |
| Estimation of vehicle velocity and traffic intensity using rectified images C Maduro, K Batista, P Peixoto, J Batista 2008 15th IEEE International Conference on Image Processing, 777-780, 2008 | 81 | 2008 |
| Vision-based pedestrian detection using haar-like features G Monteiro, P Peixoto, U Nunes Robotica 24, 46-50, 2006 | 75 | 2006 |
| ISR-AIWALKER: Robotic walker for intuitive and safe mobility assistance and gait analysis J Paulo, P Peixoto, UJ Nunes IEEE Transactions on Human-Machine Systems 47 (6), 1110-1122, 2017 | 70 | 2017 |
| 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 |
| Semantic fusion of laser and vision in pedestrian detection L Oliveira, U Nunes, P Peixoto, M Silva, F Moita Pattern Recognition 43 (10), 3648-3659, 2010 | 63 | 2010 |
| Real-time active visual surveillance by integrating peripheral motion detection with foveated tracking J Batista, P Peixoto, H Araujo Proceedings 1998 IEEE Workshop on Visual Surveillance, 18-25, 1998 | 54 | 1998 |
| A human activity recognition framework using max-min features and key poses with differential evolution random forests classifier UM Nunes, DR Faria, P Peixoto Pattern Recognition Letters 99, 21-31, 2017 | 51 | 2017 |
| 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 | 50 | 2014 |
| Real-time deep convnet-based vehicle detection using 3d-lidar reflection intensity data A Asvadi, L Garrote, C Premebida, P Peixoto, UJ Nunes ROBOT 2017: Third Iberian Robotics Conference: Volume 2, 475-486, 2018 | 28 | 2018 |
| A dual-stage robust vehicle detection and tracking for real-time traffic monitoring J Batista, P Peixoto, C Fernandes, M Ribeiro 2006 IEEE Intelligent Transportation Systems Conference, 528-535, 2006 | 27 | 2006 |
| Real-time visual behaviors with a binocular active vision system J Batista, P Peixoto, H Araujo Proceedings of International Conference on Robotics and Automation 4, 3391-3396, 1997 | 23 | 1997 |
| Two-stage static/dynamic environment modeling using voxel representation A Asvadi, P Peixoto, U Nunes Robot 2015: Second Iberian Robotics Conference: Advances in Robotics, Volume …, 2016 | 21 | 2016 |
| Real-time vergence and binocular gaze control J Batista, P Peixoto, H Araujo Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent …, 1997 | 20 | 1997 |
Urbano José C. NunesProfessor, Electrical and Computer Engineering Dept., University of Coimbra在 deec.uc.pt 的电子邮件经过验证
