14 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.RO2020★ 1 cited
An Autonomous Driving Framework for Long-term Decision-making and Short-term Trajectory Planning on Frenet Space
Majid Moghadam, Gabriel Hugh Elkaim
In this paper, we present a hierarchical framework for decision-making and planning on highway driving tasks. We utilized intelligent driving models (IDM and MOBIL) to generate lon…
cs.RO2020★ 6 cited
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space
Majid Moghadam, Ali Alizadeh, Engin Tekin +1
Tactical decision making and strategic motion planning for autonomous highway driving are challenging due to the complication of predicting other road users' behaviors, diversity o…
cs.RO2019★ 14 cited
A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning
Majid Moghadam, Gabriel Hugh Elkaim
Tactical decision making is a critical feature for advanced driving systems, that incorporates several challenges such as complexity of the uncertain environment and reliability of…