activity
20172020
most citedExamining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving

3 citations · 8 across the 4 of their papers we have counts for

collaborators

6 papers

cs.RO2020

Efficient Behavior-aware Control of Automated Vehicles at Crosswalks using Minimal Information Pedestrian Prediction Model

Suresh Kumaar Jayaraman, Lionel P. Robert, Xi Jessie Yang +2

For automated vehicles (AVs) to reliably navigate through crosswalks, they need to understand pedestrians crossing behaviors. Simple and reliable pedestrian behavior models aid in…

cs.RO2020

Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions

Suresh Kumaar Jayaraman, Dawn M. Tilbury, X. Jessie Yang +2

For safe navigation around pedestrians, automated vehicles (AVs) need to plan their motion by accurately predicting pedestrians trajectories over long time horizons. Current approa…

cs.HC20203 cited

Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving

Na Du, Feng Zhou, Elizabeth Pulver +4

In conditionally automated driving, drivers have difficulty in takeover transitions as they become increasingly decoupled from the operational level of driving. Factors influencing…

cs.HC20192 cited

Look Who's Talking Now: Implications of AV's Explanations on Driver's Trust, AV Preference, Anxiety and Mental Workload

Na Du, Jacob Haspiel, Qiaoning Zhang +4

Explanations given by automation are often used to promote automation adoption. However, it remains unclear whether explanations promote acceptance of automated vehicles (AVs). In…

cs.HC20192 cited

Situational Awareness, Drivers Trust in Automated Driving Systems and Secondary Task Performance

Luke Petersen, Lionel Robert, X. Jessie Yang +1

Driver assistance systems, also called automated driving systems, allow drivers to immerse themselves in non-driving-related tasks. Unfortunately, drivers may not trust the automat…

math.OC20171 cited

Conflict-driven Hybrid Observer-based Anomaly Detection

Zheng Wang, Farshad Harirchi, Dhananjay Anand +3

This paper presents an anomaly detection method using a hybrid observer -- which consists of a discrete state observer and a continuous state observer. We focus our attention on an…