Our research and development interests include theoretical and applied research on autonomous or semi-autonomous cooperative mobile systems. Topics include planning, control, reinforcement learning, multi-agent interaction, computer vision, sensor fusion, behavior prediction, and decision making.
CITR has developed several hardware testbeds and simulation platforms.
[2020-11-30] Our laboratory organized the event Pedestrians on the Roadway: A Workshop on Autonomous Vehicles Encountering Pedestrians. Slides from the workshop can be found here. Video playlist on Youtube.
[2020-07-11] Teawon Han presented his work "An Online Evolving Framework for Advancing Reinforcement-Learning based Automated Vehicle Control" at IFAC World Congress 2020. Check the recording at YouTube.
[2020-07-08] To help stopping COVID-19, CITR has developed a vision-based system for social distancing. Please check our new work: "A Vision-based Social Distancing and Critical Density Detection System for COVID-19". PDF GitHub
[2020-04-02] Congratulations! 3 papers from us were accepted into 2020 Intelligent Vehicles Symposium:
1. "A Multi-State Social Force Based Framework for Vehicle-Pedestrian Interaction in Uncontrolled Pedestrian Crossing Scenarios". PDF GitHub
2. "Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving".PDF
3. "Optical Flow Based Visual Potential Field for Autonomous Driving". PDF
[2019-11-03] Welcome Dr. Ekim Yurtsever to join us as a postdoctoral researcher from Nagoya University!
[2019-03-08] The Ohio State University is to host "Explainable Artificial Intelligence for Driving Safety" review and workshop. CITR lab is honored to help to organize the event.