334 citations · 445 across the 25 of their papers we have counts for
6 papers · 1 filter
Human-Like Autonomous Driving on Dense Traffic
Mustafa Yildirim, Saber Fallah
This paper proposes a imitation learning model for autonomous driving on highway traffic by mimicking human drivers' driving behaviours. The study utilizes the HighD traffic datase…
Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies
Iman Sharifi, Mustafa Yildirim, Saber Fallah
Current imitation learning approaches, predominantly based on deep neural networks (DNNs), offer efficient mechanisms for learning driving policies from real-world datasets. Howeve…
Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach
Zahra Chaghazardi, Saber Fallah, Alireza Tamaddoni-Nezhad
Traffic sign detection is a critical task in the operation of Autonomous Vehicles (AV), as it ensures the safety of all road users. Current DNN-based sign classification systems re…
Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach
Iman Sharifi, Mustafa Yildirim, Saber Fallah
The dynamic nature of driving environments and the presence of diverse road users pose significant challenges for decision-making in autonomous driving. Deep reinforcement learning…
Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays
Luc McCutcheon, Saber Fallah
Local-remote systems allow robots to execute complex tasks in hazardous environments such as space and nuclear power stations. However, establishing accurate positional mapping bet…
Decision Making for Autonomous Driving in Interactive Merge Scenarios via Learning-based Prediction
Salar Arbabi, Davide Tavernini, Saber Fallah +1
Autonomous agents that drive on roads shared with human drivers must reason about the nuanced interactions among traffic participants. This poses a highly challenging decision maki…