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Found 5 papers, 1 papers with code
Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles
Humans' internal states play a key role in human-machine interaction, leading to the rise of human state estimation as a prominent field.
Identification of Adaptive Driving Style Preference through Implicit Inputs in SAE L2 Vehicles
This work proposes identification of user driving style preference with multimodal signals, so the vehicle could match user preference in a continuous and automatic way.
Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles
To understand the effect of highlighting on drivers' SA for objects with different types and locations under various traffic densities, we conducted an in-person experiment with 20 participants on a driving simulator.
Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flow
In this work, we propose a novel paradigm that regularizes the spatiotemporal consistency by synthesizing motions in input videos with the generated optical flow instead of estimating them.
IceBreaker: Solving Cold Start Problem for Video Recommendation Engines
Internet has brought about a tremendous increase in content of all forms and, in that, video content constitutes the major backbone of the total content being published as well as watched.
