1 citations · 1 across the 5 of their papers we have counts for
7 papers
Learning Mixed Strategies in Trajectory Games
Lasse Peters, David Fridovich-Keil, Laura Ferranti +3
In multi-agent settings, game theory is a natural framework for describing the strategic interactions of agents whose objectives depend upon one another's behavior. Trajectory game…
Incorporating Data Uncertainty in Object Tracking Algorithms
Anish Muthali, Forrest Laine, Claire Tomlin
Methodologies for incorporating the uncertainties characteristic of data-driven object detectors into object tracking algorithms are explored. Object tracking methods rely on measu…
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu +1
We present a novel method for handling uncertainty about the intentions of non-ego players in dynamic games, with application to motion planning for autonomous vehicles. Equilibria…
Testing for Typicality with Respect to an Ensemble of Learned Distributions
Forrest Laine, Claire Tomlin
Methods of performing anomaly detection on high-dimensional data sets are needed, since algorithms which are trained on data are only expected to perform well on data that is simil…
Eyes-Closed Safety Kernels: Safety for Autonomous Systems Under Loss of Observability
Forrest Laine, Chiu-Yuan Chiu, Claire Tomlin
A framework is presented for handling a potential loss of observability of a dynamical system in a provably-safe way. Inspired by the fragility of data-driven perception systems us…
Real-time Funnel Generation for Restricted Motion Planning
Hadi Ravanbakhsh, Forrest Laine, Sanjit A. Seshia
In autonomous systems, a motion planner generates reference trajectories which are tracked by a low-level controller. For safe operation, the motion planner should account for inev…