157 citations · 327 across the 20 of their papers we have counts for
4 papers · 1 filter
Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets
Katherine Driggs-Campbell, Roy Dong, S. Shankar Sastry +1
In order to develop provably safe human-in-the-loop systems, accurate and precise models of human behavior must be developed. In the case of intelligent vehicles, one can imagine t…
Convex Computation of the Basin of Stability to Measure the Likelihood of Falling: A Case Study on the Sit-to-Stand Task
Victor Shia, Talia Moore, Ruzena Bajcsy +1
Locomotion in the real world involves unexpected perturbations, and therefore requires strategies to maintain stability to successfully execute desired behaviours. Ensuring the saf…
Identifying Modes of Intent from Driver Behaviors in Dynamic Environments
Katherine Driggs-Campbell, Ruzena Bajcsy
In light of growing attention of intelligent vehicle systems, we propose developing a driver model that uses a hybrid system formulation to capture the intent of the driver. This m…
Experimental Design for Human-in-the-Loop Driving Simulations
Katherine Driggs-Campbell, Guillaume Bellegarda, Victor Shia +2
This report describes a new experimental setup for human-in-the-loop simulations. A force feedback simulator with four axis motion has been setup for real-time driving experiments.…