2007 - IEEE Fellow For contributions to distributed robotics and the creation of the miniature scout robot
His scientific interests lie mostly in Artificial intelligence, Computer vision, Robot, Mobile robot and Simulation. Nikolaos Papanikolopoulos combines topics linked to Pattern recognition with his work on Artificial intelligence. His study ties his expertise on Kalman filter together with the subject of Computer vision.
Many of his research projects under Robot are closely connected to Terrain with Terrain, tying the diverse disciplines of science together. His study in Mobile robot is interdisciplinary in nature, drawing from both Robotic systems, Embedded system and SIMPLE. His biological study spans a wide range of topics, including Spring, Remotely operated vehicle, Real-time computing, Task and Workstation.
Nikolaos Papanikolopoulos mainly focuses on Artificial intelligence, Computer vision, Robot, Mobile robot and Pattern recognition. His Artificial intelligence study frequently draws parallels with other fields, such as Machine learning. His Robot study incorporates themes from Distributed computing, Real-time computing and Simulation.
The various areas that he examines in his Mobile robot study include Control engineering, Embedded system and Human–computer interaction. His Pattern recognition course of study focuses on Contextual image classification and Support vector machine. His Eye tracking research includes elements of Optical flow and Adaptive control.
Artificial intelligence, Pattern recognition, Segmentation, Computer vision and Point cloud are his primary areas of study. His research in Artificial intelligence intersects with topics in Contrast and Divergence. His research in Pattern recognition tackles topics such as Ground truth which are related to areas like Test set and Background subtraction.
The study incorporates disciplines such as HTML5, Training set, Kidney tumor, Annotation and Computer-aided diagnosis in addition to Segmentation. His Computer vision study combines topics in areas such as Representation and Pedestrian. His Point cloud research includes themes of Object detection, Agricultural engineering, Persistent homology and Pipeline.
Nikolaos Papanikolopoulos mainly focuses on Artificial intelligence, Segmentation, Pattern recognition, Point cloud and Deep learning. His Artificial intelligence study frequently draws connections between related disciplines such as Computer vision. Nikolaos Papanikolopoulos combines subjects such as HTML5, Training set, Kidney tumor, Information retrieval and Web application with his study of Segmentation.
His work in Pattern recognition addresses issues such as Divergence, which are connected to fields such as Data modeling and Dirichlet process. His Point cloud study also includes fields such as
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Detection and classification of vehicles
S. Gupte;O. Masoud;R.F.K. Martin;N.P. Papanikolopoulos.
IEEE Transactions on Intelligent Transportation Systems (2002)
Visual tracking of a moving target by a camera mounted on a robot: a combination of control and vision
N.P. Papanikolopoulos;P.K. Khosla;T. Kanade.
international conference on robotics and automation (1993)
Multi-class active learning for image classification
Ajay J Joshi;Fatih Porikli;Nikolaos Papanikolopoulos.
computer vision and pattern recognition (2009)
Incremental fuzzy expert PID control
S. Tzafestas;N.P. Papanikolopoulos.
IEEE Transactions on Industrial Electronics (1990)
Adaptive robotic visual tracking: theory and experiments
N.P. Papanikolopoulos;P.K. Khosla.
IEEE Transactions on Automatic Control (1993)
A novel method for tracking and counting pedestrians in real-time using a single camera
O. Masoud;N.P. Papanikolopoulos.
IEEE Transactions on Vehicular Technology (2001)
Miniature robotic vehicles and methods of controlling same
Nikolaos Papanikolopoulos;Donald Krantz;Richard Voyles.
Computer vision algorithms for intersection monitoring
H. Veeraraghavan;O. Masoud;N.P. Papanikolopoulos.
IEEE Transactions on Intelligent Transportation Systems (2003)
Clustering of Vehicle Trajectories
Stefan Atev;Grant Miller;Nikolaos P Papanikolopoulos.
IEEE Transactions on Intelligent Transportation Systems (2010)
A miniature robotic system for reconnaissance and surveillance
D.F. Hougen;S. Benjaafar;J.C. Bonney;J.R. Budenske.
international conference on robotics and automation (2000)
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