no code implementations • 5 May 2023 • Sean Vaskov, Rien Quirynen, Marcel Menner, Karl Berntorp
The estimators output the estimate of the tire-friction model as well as the uncertainty of the estimate, which expresses the confidence in the model for different driving regimes.
1 code implementation • 5 Feb 2019 • Sean Vaskov, Utkarsh Sharma, Shreyas Kousik, Matthew Johnson-Roberson, Ramanarayan Vasudevan
Trajectory planning is challenging for autonomous cars since they operate in unpredictable environments with limited sensor horizons.
Systems and Control
1 code implementation • 18 Sep 2018 • Shreyas Kousik, Sean Vaskov, Fan Bu, Matthew Johnson-Roberson, Ram Vasudevan
At runtime, the FRS is used to map obstacles to the space of parameterized trajectories, which allows RTD to select a safe trajectory at every planning iteration.
Robotics Systems and Control
2 code implementations • 28 Apr 2017 • Shreyas Kousik, Sean Vaskov, Matthew Johnson-Roberson, Ramanarayan Vasudevan
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 with a high-fidelity model.
Systems and Control Robotics