Search Results for author:
Found 17 papers, 3 papers with code
CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild
Non-intrusive, real-time analysis of the dynamics of the eye region allows us to monitor humans' visual attention allocation and estimate their mental state during the performance of real-world tasks, which can potentially benefit a wide range of human-computer interaction (HCI) applications.
Object as Distribution
We provide qualitative evaluation of this representation for the object detection task and quantitative evaluation of its use in a baseline algorithm for the instance segmentation task.
Dynamics of Pedestrian Crossing Decisions Based on Vehicle Trajectories in Large-Scale Simulated and Real-World Data
Humans, as both pedestrians and drivers, generally skillfully navigate traffic intersections.
Value of Temporal Dynamics Information in Driving Scene Segmentation
What is not known is how much extra information the temporal dynamics of the visual scene carries that is complimentary to the information available in the individual frames of the video.
Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy
Building effective, enjoyable, and safe autonomous vehicles is a lot harder than has historically been considered.
A Machine Learning Approach for Power Allocation in HetNets Considering QoS
However, as the density of the network increases so does the complexity of such resource allocation methods.
Information Theory Information Theory
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation
We present a traffic simulation named DeepTraffic where the planning systems for a subset of the vehicles are handled by a neural network as part of a model-free, off-policy reinforcement learning process.
MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation
For the foreseeble future, human beings will likely remain an integral part of the driving task, monitoring the AI system as it performs anywhere from just over 0% to just under 100% of the driving.
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions
We consider the paradigm of a black box AI system that makes life-critical decisions.
SideEye: A Generative Neural Network Based Simulator of Human Peripheral Vision
Foveal vision makes up less than 1% of the visual field.
Semi-Automated Annotation of Discrete States in Large Video Datasets
We propose a framework for semi-automated annotation of video frames where the video is of an object that at any point in time can be labeled as being in one of a finite number of discrete states.
What Can Be Predicted from Six Seconds of Driver Glances?
We consider a large dataset of real-world, on-road driving from a 100-car naturalistic study to explore the predictive power of driver glances and, specifically, to answer the following question: what can be predicted about the state of the driver and the state of the driving environment from a 6-second sequence of macro-glances?
Detecting Road Surface Wetness from Audio: A Deep Learning Approach
We introduce a recurrent neural network architecture for automated road surface wetness detection from audio of tire-surface interaction.
Learning Human Identity from Motion Patterns
We present a large-scale study exploring the capability of temporal deep neural networks to interpret natural human kinematics and introduce the first method for active biometric authentication with mobile inertial sensors.
Owl and Lizard: Patterns of Head Pose and Eye Pose in Driver Gaze Classification
The main insight of the paper is conveyed through the analogy of an "owl" and "lizard" which describes the degree to which the eyes and the head move when shifting gaze.
Driver Gaze Region Estimation Without Using Eye Movement
In theory, vision-based tracking of the eye can provide a good estimate of gaze location.
Active Authentication on Mobile Devices via Stylometry, Application Usage, Web Browsing, and GPS Location
Active authentication is the problem of continuously verifying the identity of a person based on behavioral aspects of their interaction with a computing device.
