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.
[2021-11-14] Our paper “ An Online Evolving Method for a Safe and Fast Automated Vehicle Control System” has been accepted to the journal IEEE Transactions on Systems, Man and Cybernetics Systems.
[2021-11-12] Our paper “ Model-based Decomposition and Backtracking Framework for Probabilistic Risk Assessment in Automated Vehicle Systems” was presented at the 2021 International Topical Meeting on Probabilistic Safety Assessment and Analysis
[2021-11-12] Our paper “A Formal Characterization of Black-Box System Safety Performance With Scenario Sampling” has been published in the journal IEEE Robotics and Automation Letters. Link
[2021-10-30] Our paper “ Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective” has been published in Early Access for the journal IEEE Transactions on Intelligent Vehicles. Link
[2021-06-20] Congratulations! The following papers were presented in the 2021 Intelligent Transportation Systems Conference (ITSC) :
1. "Methodology for Hazard Identification and Mitigation Strategies Applied to an Overtaking Assistant ADAS" Link
2. "Pedestrian Emergence Estimation and Occlusion-Aware Risk Assessment for Urban Autonomous Driving" Link
3. "Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion" Link
[2021-10-14] As part of our collaboration in the Center for Automated Vehicles Research with Multimodal Assured Navigation (CARMEN), our laboratory participated in organizing the semi-annual project symposium. The agenda from the symposium can be found here. The website from the project is here.
[2021-07-05] Our paper “ A Vision-Based Social Distancing and Critical Density Detection System for Covid-19” has been published in the journal Sensors. Link
[2021-05-15] Our master students Mert Koç and Zhitong He graduated and accepted positions at the company Oztech Inc. Our master student Haolin Zhang graduated and accepted a position at Zhejiang Huaruijie Technology Co., Ltd. Congratulations!
[2020-12-15] Our doctoral students Teawon Han and Dongfang Yang graduated. Teawon has accepted a position at Ford Greenfields Lab and Dongfang has accepted a position at Chongqing Changan Automobile Software Tech Corp. Congratulations!
[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.