31 citations · 33 across the 6 of their papers we have counts for
6 papers
Rethinking Gaussian Trajectory Predictors: Calibrated Uncertainty for Safe Planning
Fatemeh Cheraghi Pouria, Mahsa Golchoubian, Katherine Driggs-Campbell
Accurate trajectory prediction is critical for safe autonomous navigation in crowded environments. While many trajectory predictors output Gaussian distributions to represent the m…
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing
Klara Nahrstedt, Naresh Shanbhag, Vikram Adve +25
In 2021, the Coordinated Science Laboratory CSL, an Interdisciplinary Research Unit at the University of Illinois Urbana-Champaign, hosted the Future of Computing Symposium to cele…
Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots
Abhi Kamboj, Tianchen Ji, Katie Driggs-Campbell
Agriculture is facing a labor crisis, leading to increased interest in fleets of small, under-canopy robots (agbots) that can perform precise, targeted actions (e.g., crop scouting…
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…
To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles
Yuan Shen, Shanduojiao Jiang, Yanlin Chen +1
Explainable AI, in the context of autonomous systems, like self-driving cars, has drawn broad interests from researchers. Recent studies have found that providing explanations for…