activity
20202026
most citedHAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving

83 citations · 265 across the 29 of their papers we have counts for

collaborators
Showing 2021Show all

8 papers · 1 filter

cs.CV2021

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…

cs.CV2021★ 1 cited

Towards Safer Transportation: a self-supervised learning approach for traffic video deraining

Shuya Zong, Sikai Chen, Samuel Labi

Video monitoring of traffic is useful for traffic management and control, traffic counting, and traffic law enforcement. However, traffic monitoring during inclement weather such a…

cs.RO2021★ 3 cited

Using UAVs for vehicle tracking and collision risk assessment at intersections

Shuya Zong, Sikai Chen, Majed Alinizzi +2

Assessing collision risk is a critical challenge to effective traffic safety management. The deployment of unmanned aerial vehicles (UAVs) to address this issue has shown much prom…

cs.LG2021★ 1 cited

Scalable Traffic Signal Controls using Fog-Cloud Based Multiagent Reinforcement Learning

Paul, Ha, Sikai Chen +2

Optimizing traffic signal control (TSC) at intersections continues to pose a challenging problem, particularly for large-scale traffic networks. It has been shown in past research…

cs.CV2021

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…

cs.RO2021★ 1 cited

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…

cs.AI2021

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…

stat.AP2021★ 2 cited

Estimating IRI based on pavement distress type, density, and severity: Insights from machine learning techniques

Yu Qiao, Sikai Chen, Majed Alinizzi +2

Surface roughness is primary measure of pavement performance that has been associated with ride quality and vehicle operating costs. Of all the surface roughness indicators, the In…