6 citations · 12 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★ 5 cited
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment
Ali Alizadeh, Majid Moghadam, Yunus Bicer +3
Autonomous lane changing is a critical feature for advanced autonomous driving systems, that involves several challenges such as uncertainty in other driver's behaviors and the tra…