9 citations · 9 across the 3 of their papers we have counts for
5 papers
Friction-Adaptive Stochastic Nonlinear Model Predictive Control for Autonomous Vehicles
Sean Vaskov, Rien Quirynen, Marcel Menner +1
This paper addresses the trajectory-tracking problem under uncertain road-surface conditions for autonomous vehicles. We propose a stochastic nonlinear model predictive controller…
Towards Provably Not-at-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments
Sean Vaskov, Shreyas Kousik, Hannah Larson +5
As autonomous robots increasingly become part of daily life, they will often encounter dynamic environments while only having limited information about their surroundings. Unfortun…
Guaranteed Safe Reachability-based Trajectory Design for a High-Fidelity Model of an Autonomous Passenger Vehicle
Sean Vaskov, Utkarsh Sharma, Shreyas Kousik +2
Trajectory planning is challenging for autonomous cars since they operate in unpredictable environments with limited sensor horizons. To incorporate new information as it is sensed…
Bridging the Gap Between Safety and Real-Time Performance in Receding-Horizon Trajectory Design for Mobile Robots
Shreyas Kousik, Sean Vaskov, Fan Bu +2
To operate with limited sensor horizons in unpredictable environments, autonomous robots use a receding-horizon strategy to plan trajectories, wherein they execute a short plan whi…
Safe Trajectory Synthesis for Autonomous Driving in Unforeseen Environments
Shreyas Kousik, Sean Vaskov, Matthew Johnson-Roberson +1
Path planning for autonomous vehicles in arbitrary environments requires a guarantee of safety, but this can be impractical to ensure in real-time when the vehicle is described wit…