most citedDrive Right: Promoting Autonomous Vehicle Education Through an Integrated Simulation Platform

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023

Learning Adaptive Safety for Multi-Agent Systems

Luigi Berducci, Shuo Yang, Rahul Mangharam +1

Ensuring safety in dynamic multi-agent systems is challenging due to limited information about the other agents. Control Barrier Functions (CBFs) are showing promise for safety ass…

physics.med-ph2023

Individualization of atrial tachycardia models for clinical applications: Performance of fiber-independent model

Jiyue He, Arkady Pertsov, John Bullinga +1

One of the challenges in the development of patient-specific models of cardiac arrhythmias for clinical applications has been accounting for myocardial fiber organization. The fibe…

cs.RO2023

Differentiable Trajectory Generation for Car-like Robots with Interpolating Radial Basis Function Networks

Hongrui Zheng, Rahul Mangharam

The design of Autonomous Vehicle software has largely followed the Sense-Plan-Act model. Traditional modular AV stacks develop perception, planning, and control software separately…

cs.RO2023

Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces

Tomáš Nagy, Ahmad Amine, Truong X. Nghiem +3

Driving under varying road conditions is challenging, especially for autonomous vehicles that must adapt in real-time to changes in the environment, e.g., rain, snow, etc. It is di…

cs.HC20233 cited

Drive Right: Promoting Autonomous Vehicle Education Through an Integrated Simulation Platform

Zhijie Qiao, Helen Loeb, Venkata Gurrla +3

Autonomous vehicles (AVs) are being rapidly introduced into our lives. However, public misunderstanding and mistrust have become prominent issues hindering the acceptance of these…