Learning a Safety Verifiable Adaptive Cruise Controller from Human Driving Data

no code implementations • 29 Oct 2019 • Qin Lin, Sicco Verwer, John Dolan

Imitation learning provides a way to automatically construct a controller by mimicking human behavior from data.

Autonomous Vehicles Imitation Learning

Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile

no code implementations • 28 Oct 2019 • Qin Lin, Wenshuo Wang, Yihuan Zhang, John Dolan

Understanding multi-vehicle interactive behaviors with temporal sequential observations is crucial for autonomous vehicles to make appropriate decisions in an uncertain traffic environment.

Autonomous Vehicles

Anomaly Detection in a Digital Video Broadcasting System Using Timed Automata

no code implementations • 24 May 2017 • Xiaoran Liu, Qin Lin, Sicco Verwer, Dmitri Jarnikov

This paper focuses on detecting anomalies in a digital video broadcasting (DVB) system from providers' perspective.

Anomaly Detection One-class classifier

Interpreting Finite Automata for Sequential Data

no code implementations • 21 Nov 2016 • Christian Albert Hammerschmidt, Sicco Verwer, Qin Lin, Radu State

Automaton models are often seen as interpretable models.

General Classification

Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI

no code implementations • 12 Feb 2013 • Yue Huang, John Paisley, Qin Lin, Xinghao Ding, Xueyang Fu, Xiao-Ping Zhang

The size of the dictionary and the patch-specific sparsity pattern are inferred from the data, in addition to other dictionary learning variables.

Denoising Dictionary Learning +2