activity
20192021
most citedCounter-example Guided Learning of Bounds on Environment Behavior

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

collaborators

5 papers

eess.SY2021

Failure-Tolerant Contract-Based Design of an Automated Valet Parking System using a Directive-Response Architecture

Josefine Graebener, Tung Phan-Minh, Jiaqi Yan +2

Increased complexity in cyber-physical systems calls for modular system design methodologies that guarantee correct and reliable behavior, both in normal operations and in the pres…

cs.MA20201 cited

Rules of the Road: Safety and Liveness Guarantees for Autonomous Vehicles

Karena X. Cai, Tung Phan-Minh, Soon-Jo Chung +1

The ability to guarantee safety and progress for all vehicles is vital to the success of the autonomous vehicle industry. We present a framework for designing autonomous vehicle be…

eess.SY20204 cited

Counter-example Guided Learning of Bounds on Environment Behavior

Yuxiao Chen, Sumanth Dathathri, Tung Phan-Minh +1

There is a growing interest in building autonomous systems that interact with complex environments. The difficulty associated with obtaining an accurate model for such environments…

cs.LG2019

CoverNet: Multimodal Behavior Prediction using Trajectory Sets

Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton +2

We present CoverNet, a new method for multimodal, probabilistic trajectory prediction for urban driving. Previous work has employed a variety of methods, including multimodal regre…

eess.SY2019

Towards Assume-Guarantee Profiles for Autonomous Vehicles

Tung Phan-Minh, Karena X. Cai, Richard M. Murray

Rules or specifications for autonomous vehicles are currently formulated on a case-by-case basis, and put together in a rather ad-hoc fashion. As a step towards eliminating this pr…