21 citations · 30 across the 10 of their papers we have counts for
10 papers
W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics
Andre Schreiber, Arun N. Sivakumar, Peter Du +3
Successful deployment of mobile robots in unstructured domains requires an understanding of the environment and terrain to avoid hazardous areas, getting stuck, and colliding with…
Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries
Peter Du, Surya Murthy, Katherine Driggs-Campbell
As advances in artificial intelligence enable increasingly capable learning-based autonomous agents, it becomes more challenging for human observers to efficiently construct a ment…
Adaptive Failure Search Using Critical States from Domain Experts
Peter Du, Katherine Driggs-Campbell
Uncovering potential failure cases is a crucial step in the validation of safety critical systems such as autonomous vehicles. Failure search may be done through logging substantia…
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material)
Yuan Shen, Niviru Wijayaratne, Pranav Sriram +3
The task of driver attention prediction has drawn considerable interest among researchers in robotics and the autonomous vehicle industry. Driver attention prediction can play an i…
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset
Yuan Shen, Niviru Wijayaratne, Pranav Sriram +3
The task of driver attention prediction has drawn considerable interest among researchers in robotics and the autonomous vehicle industry. Driver attention prediction can play an i…
Improving the Feasibility of Moment-Based Safety Analysis for Stochastic Dynamics
Peter Du, Katherine Driggs-Campbell, Roy Dong
Given a stochastic dynamical system modelled via stochastic differential equations (SDEs), we evaluate the safety of the system through characterizations of its exit time moments.…