Dimitris Zermas
Dimitris Zermas
University of Minnesota, Delphi, Sentera
Verified email at sentera.com
Title
Cited by
Cited by
Year
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
642017
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
212016
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
202015
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
142014
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
52011
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 Systemsá…, 2017
42017
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
22020
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
22014
Enhanced camera object detection for automated vehicles
D Zermas, IH Izzat, A Mangalgiri
US Patent 10,366,310, 2019
12019
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 Systemsá…, 2018
12018
Automated detection of nitrogen deficiency in crop
N Papanikolopoulos, V Morellas, D Zermas, D Mulla, M Bazakos, ...
US Patent 10,599,926, 2020
2020
Crop biometrics detection
N Papanikolopoulos, V Morellas, D Zermas, D Mulla, M Bazakos
US Patent App. 16/296,856, 2019
2019
Crop models and biometrics
N Papanikolopoulos, V Morellas, D Zermas, D Mulla, M Bazakos
US Patent App. 16/296,941, 2019
2019
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
2019
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
Combining Machine Learning with Computer Vision for Precision Agriculture Applications
D Zermas
University of Minnesota, 2018
2018
Autonomous 3D Reconstruction Using a MAV
A Popov, D Zermas, N Papanikolopoulos
arXiv preprint arXiv:1506.06876, 2015
2015
Έλεγχος συνεργαζόμενων κινούμενων ρομπότ
Δ Ζέρμας
2012
On the adaptive performance improvement of a trajectory tracking controller for non-holonomic mobile robots
J Arvanitakis, G Nikolakopoulos, D Zermas, A Tzes
Emerging Technologies & Factory Automation (ETFA), 2011 IEEE 16th Conferenceá…, 2011
2011
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Articles 1–19