23 citations · 39 across the 6 of their papers we have counts for
11 papers
Reason induced visual attention for explainable autonomous driving
Sikai Chen, Jiqian Dong, Runjia Du +2
Deep learning (DL) based computer vision (CV) models are generally considered as black boxes due to poor interpretability. This limitation impedes efficient diagnoses or prediction…
Development and testing of an image transformer for explainable autonomous driving systems
Jiqian Dong, Sikai Chen, Shuya Zong +3
In the last decade, deep learning (DL) approaches have been used successfully in computer vision (CV) applications. However, DL-based CV models are generally considered to be black…
Addressing crash-imminent situations caused by human driven vehicle errors in a mixed traffic stream: a model-based reinforcement learning approach for CAV
Jiqian Dong, Sikai Chen, Samuel Labi
It is anticipated that the era of fully autonomous vehicle operations will be preceded by a lengthy "Transition Period" where the traffic stream will be mixed, that is, consisting…
Urban traffic dynamic rerouting framework: A DRL-based model with fog-cloud architecture
Runjia Du, Sikai Chen, Jiqian Dong +3
Past research and practice have demonstrated that dynamic rerouting framework is effective in mitigating urban traffic congestion and thereby improve urban travel efficiency. It ha…
Using Empirical Trajectory Data to Design Connected Autonomous Vehicle Controllers for Traffic Stabilization
Yujie Li, Sikai Chen, Runjia Du +3
Emerging transportation technologies offer unprecedented opportunities to improve the efficiency of the transportation system from the perspectives of energy consumption, congestio…
A Cooperative Control Framework for CAV Lane Change in a Mixed Traffic Environment
Runjia Du, Sikai Chen, Yujie Li +3
In preparing for connected and autonomous vehicles (CAVs), a worrisome aspect is the transition era which will be characterized by mixed traffic (where CAVs and human-driven vehicl…