41 citations · 117 across the 31 of their papers we have counts for
6 papers · 1 filter
The Interaction Gap: A Step Toward Understanding Trust in Autonomous Vehicles Between Encounters
Jacob G. Hunter, Matthew Konishi, Neera Jain +4
Shared autonomous vehicles (SAVs) will be introduced in greater numbers over the coming decade. Due to rapid advances in shared mobility and the slower development of fully autonom…
Identification of Adaptive Driving Style Preference through Implicit Inputs in SAE L2 Vehicles
Zhaobo K. Zheng, Kumar Akash, Teruhisa Misu +4
A key factor to optimal acceptance and comfort of automated vehicle features is the driving style. Mismatches between the automated and the driver preferred driving styles can make…
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles
Xiaofeng Gao, Xingwei Wu, Samson Ho +2
Although partially autonomous driving (AD) systems are already available in production vehicles, drivers are still required to maintain a sufficient level of situational awareness…
Driving Anomaly Detection Using Conditional Generative Adversarial Network
Yuning Qiu, Teruhisa Misu, Carlos Busso
Anomaly driving detection is an important problem in advanced driver assistance systems (ADAS). It is important to identify potential hazard scenarios as early as possible to avoid…
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction
Lingfeng Sun, Chen Tang, Yaru Niu +5
Motion forecasting in highly interactive scenarios is a challenging problem in autonomous driving. In such scenarios, we need to accurately predict the joint behavior of interactin…
Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flow
Kaihong Wang, Kumar Akash, Teruhisa Misu
Unpaired video-to-video translation aims to translate videos between a source and a target domain without the need of paired training data, making it more feasible for real applica…