Fast segmentation of 3d point clouds: A paradigm on lidar data for autonomous vehicle applications D Zermas, I Izzat, N Papanikolopoulos 2017 IEEE International Conference on Robotics and Automation (ICRA), 5067-5073, 2017 | 391 | 2017 |
3D model processing for high throughput phenotype extraction–the case of corn D Zermas, V Morellas, D Mulla, N Papanikolopoulos Computers and Electronics in Agriculture 172, 105047, 2020 | 71 | 2020 |
Covariance based point cloud descriptors for object detection and recognition D Fehr, WJ Beksi, D Zermas, N Papanikolopoulos Computer vision and image understanding 142, 80-93, 2016 | 42 | 2016 |
Automation Solutions for the Evaluation of Plant Health in Corn Fields D Zermas, D Teng, P Stanitsas, M Bazakos, V Morellas, D Kaiser, D Mulla, ... IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015 | 41 | 2015 |
A methodology for the detection of nitrogen deficiency in corn fields using high-resolution RGB imagery D Zermas, HJ Nelson, P Stanitsas, V Morellas, DJ Mulla, ... IEEE Transactions on Automation Science and Engineering 18 (4), 1879-1891, 2020 | 33 | 2020 |
Enhanced camera object detection for automated vehicles D Zermas, IH Izzat, A Mangalgiri US Patent 10,366,310, 2019 | 24 | 2019 |
Estimating the leaf area index of crops through the evaluation of 3D models D Zermas, V Morellas, D Mulla, N Papanikolopoulos 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 20 | 2017 |
Rgb-d object classification using covariance descriptors D Fehr, WJ Beksi, D Zermas, N Papanikolopoulos 2014 IEEE International Conference on Robotics and Automation (ICRA), 5467-5472, 2014 | 20 | 2014 |
Extracting phenotypic characteristics of corn crops through the use of reconstructed 3D models D Zermas, V Morellas, D Mulla, N Papanikolopoulos 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 16 | 2018 |
Weed detection and classification in high altitude aerial images for robot-based precision agriculture K Buddha, HJ Nelson, D Zermas, N Papanikolopoulos 2019 27th Mediterranean Conference on Control and Automation (MED), 280-285, 2019 | 14 | 2019 |
Automated detection of nitrogen deficiency in crop N Papanikolopoulos, V Morellas, D Zermas, D Mulla, M Bazakos, ... US Patent 10,599,926, 2020 | 13 | 2020 |
Crop models and biometrics N Papanikolopoulos, V Morellas, D Zermas, D Mulla, M Bazakos US Patent 11,275,941, 2022 | 8 | 2022 |
Crop biometrics detection N Papanikolopoulos, V Morellas, D Zermas, D Mulla, M Bazakos US Patent 11,188,752, 2021 | 7 | 2021 |
Control of a leader-follower mobile robotic swarm based on the NXT educational LEGO platform D Zermas Industrial Electronics (ISIE), 2011 IEEE International Symposium on, 1381 - 1386, 2011 | 6 | 2011 |
UAV above ground level determination for precision agriculture D Zermas US Patent 11,280,608, 2022 | 5 | 2022 |
Occlusion alleviation through motion using a mobile robot D Fehr, WJ Beksi, D Zermas, N Papanikolopoulos 2014 IEEE International Conference on Robotics and Automation (ICRA), 3179-3184, 2014 | 4 | 2014 |
Selecting Representative Image Data for Plant Counting Using Self-Supervised Networks in Drone Imagery E Imhoff, D Zermas, T Nigon ASA, CSSA, SSSA International Annual Meeting, 2023 | | 2023 |
Identification of Abnormality in Maize Plants from UAV Images Using Deep Learning Approaches A Huq, D Zermas, G Bebis International Symposium on Visual Computing, 583-596, 2023 | | 2023 |
Registration of single channel image sensors D Zermas US Patent 11,127,165, 2021 | | 2021 |
3D Model Image Processing for High Throughput Phenotype Extraction-the Case of Corn. DJ Mulla, D Zermas, V Morellas, N Papanikolopoulos ASA, CSSA, and CSA International Annual Meeting (2018), 2018 | | 2018 |