Publications

A Graph Convolutional Neural Network Based Approach for Traffic Monitoring Using Augmented Detections with Optical Flow. Ioannis Papakis, Abhijit Sarkar, Anuj Karpatne. 24th IEEE Intelligent Transportation Systems Conference (ITSC) 2021. Arxiv pre-print

A Graph Convolutional Neural Network Based Approach for Object Tracking Using Augmented Detections With Optical Flow. MSc Thesis Computer Science Virginia Tech, USA 2021.

Convolutional Neural Network-Based In-Vehicle Occupant Detection and Classification Method using Second Strategic Highway Research Program Cabin Images. Ioannis Papakis, Abhijit Sarkar, Andrei Svetovidov, Jeffrey S. Hickman, A. Lynn Abbott. Dual: Transportation Research Record (TRR) Journal 2020 & presented at the 100th Transportation Research Board (TRB) Meeting.

A Generalized Bayesian Approach for Localizing Natural Obstacles on Unpaved Roads. Yoshito Kinoshita, Josiah Steckenrider, Ioannis Papakis, Tomonari Furukawa. IEEE International Workshop on Safety, Security, and Rescue Robotics (SSRR) 2020.

Autonomous Navigation to a Targeted Distant Position Using Multi-Stage SLAM and Tracking. Ioannis Papakis, Spencer Leamy, Tomonari Furukawa. International Symposium on Future Active Safety Technology toward zero-traffic-accident (FAST-ZERO) 2019.

A Bayesian Framework for Multi-Stage Robot, Map and Target Localization. MSc Thesis Mechanical Engineering Virginia Tech, USA 2019.

Design and Development of a Portable Robotic Telescopic Arm. (written in Greek). Diploma Thesis Mechanical Engineering National Technical University of Athens, Greece 2017.