47 citations · 126 across the 12 of their papers we have counts for
12 papers
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning
Haoyi Niu, Jianming Hu, Zheyu Cui +1
How to explore corner cases as efficiently and thoroughly as possible has long been one of the top concerns in the context of deep reinforcement learning (DeepRL) autonomous drivin…
Comparison of Cooperative Driving Strategies for CAVs at Signal-Free Intersections
Huile Xu, Christos G. Cassandras, Li Li +1
The properties of cooperative driving strategies for planning and controlling Connected and Automated Vehicles (CAVs) at intersections range from some that achieve highly efficient…
A General Framework for Decentralized Safe Optimal Control of Connected and Automated Vehicles in Multi-Lane Intersections
Huile Xu, Wei Xiao, Christos G. Cassandras +2
We address the problem of optimally controlling Connected and Automated Vehicles (CAVs) arriving from four multi-lane roads at an intersection where they conflict in terms of safel…
A Bi-Level Cooperative Driving Strategy Allowing Lane Changes
Huile Xu, Yi Zhang, Christos G. Cassandras +2
This paper studies the cooperative driving of connected and automated vehicles (CAVs) at conflict areas (e.g., non-signalized intersections and ramping regions). Due to safety conc…
The Asymptotic Mandelbrot Law of Some Evolution Networks
Li Li
In this letter, we study some evolution networks that grow with linear preferential attachment. Based upon some recent results on the quotient Gamma function, we give a rigorous pr…
A Mixed-Fractal Model for Network Traffic
Li Li, Yudong Chen, Yi Zhang
In this short paper, we propose a new multi-fractal flow model, aiming to provide a possible explanation for the crossover phenomena that appear in the estimation of Hurst exponent…