28 citations · 75 across the 11 of their papers we have counts for
4 papers · 1 filter
Probabilistic Constraint Tightening Techniques for Trajectory Planning with Predictive Control
Nathan Goulet, Qian Wang, Beshah Ayalew
In order for automated mobile vehicles to navigate in the real world with minimal collision risks, it is necessary for their planning algorithms to consider uncertainties from meas…
Distributed Maneuver Planning with Connected and Automated Vehicles for Boosting Traffic Efficiency
Nathan Goulet, Beshah Ayalew
Connected and automated vehicles (CAVs) have the potential to improve traffic throughput and achieve a more efficient utilization of the available roadway infrastructure. They also…
Residual Policy Learning for Powertrain Control
Lindsey Kerbel, Beshah Ayalew, Andrej Ivanco +1
Eco-driving strategies have been shown to provide significant reductions in fuel consumption. This paper outlines an active driver assistance approach that uses a residual policy l…
Driver Assistance Eco-driving and Transmission Control with Deep Reinforcement Learning
Lindsey Kerbel, Beshah Ayalew, Andrej Ivanco +1
With the growing need to reduce energy consumption and greenhouse gas emissions, Eco-driving strategies provide a significant opportunity for additional fuel savings on top of othe…