research
∙
03/17/2023
Trust in Shared Automated Vehicles: Study on Two Mobility Platforms
The ever-increasing adoption of shared transportation modalities across ...
share
research
∙
09/21/2022
The Interaction Gap: A Step Toward Understanding Trust in Autonomous Vehicles Between Encounters
Shared autonomous vehicles (SAVs) will be introduced in greater numbers ...
research
∙
09/21/2022
Identification of Adaptive Driving Style Preference through Implicit Inputs in SAE L2 Vehicles
A key factor to optimal acceptance and comfort of automated vehicle feat...
research
∙
06/06/2022
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles
Although partially autonomous driving (AD) systems are already available...
research
∙
03/28/2022
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction
Motion forecasting in highly interactive scenarios is a challenging prob...
research
∙
03/15/2022
Driving Anomaly Detection Using Conditional Generative Adversarial Network
Anomaly driving detection is an important problem in advanced driver ass...
research
∙
01/15/2022
Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flow
Unpaired video-to-video translation aims to translate videos between a s...
research
∙
11/28/2021
Explore the Potential Performance of Vision-and-Language Navigation Model: a Snapshot Ensemble Method
Vision-and-Language Navigation (VLN) is a challenging task in the field ...
research
∙
10/29/2021
Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism
Situation awareness (SA) is generally considered as the perception, unde...
research
∙
10/09/2021
Clustering Human Trust Dynamics for Customized Real-time Prediction
Trust calibration is necessary to ensure appropriate user acceptance in ...
research
∙
09/24/2020
Toward Adaptive Trust Calibration for Level 2 Driving Automation
Properly calibrated human trust is essential for successful interaction ...
research
∙
11/16/2019
Grounding Human-to-Vehicle Advice for Self-driving Vehicles
Recent success suggests that deep neural control networks are likely to ...
research
∙
06/28/2019
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data
Corner cases are the main bottlenecks when applying Artificial Intellige...
research
∙
02/07/2019
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems
We introduce an unsupervised formulation to estimate heteroscedastic unc...
research
∙
01/24/2019
In Defense of the Triplet Loss for Visual Recognition
We employ triplet loss as a space embedding regularizer to boost classif...
research
∙
01/23/2019
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems
We cast visual retrieval as a regression problem by posing triplet loss ...
research
∙
11/06/2018