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Probabilistic estimation of the driver's gaze from head orientation and position

https://doi.org/10.1109/itsc.2017.8317841

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/rtim.2002.0279openalex-snapshot

Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance

inferredcites →https://doi.org/10.1007/978-3-540-28650-9_4openalex-snapshot

Gaussian Processes in Machine Learning

inferredcites →https://doi.org/10.1080/0014013031000090116openalex-snapshot

Visual attention while driving: sequences of eye fixations made by experienced and novice drivers

inferredcites →https://doi.org/10.1107/s0567739478001680openalex-snapshot

A discussion of the solution for the best rotation to relate two sets of vectors

inferredcites →https://doi.org/10.1109/cvpr.2014.24openalex-snapshot

Look at the Driver, Look at the Road: No Distraction! No Accident!

inferredcites →https://doi.org/10.1109/cvprw.2014.30openalex-snapshot

Estimating Gaze Direction of Vehicle Drivers Using a Smartphone Camera

inferredcites →https://doi.org/10.1109/iccvw.2013.54openalex-snapshot

Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild

inferredcites →https://doi.org/10.1109/icme.2013.6607575openalex-snapshot

Analysis of facial features of drivers under cognitive and visual distractions

inferredcites →https://doi.org/10.1109/icra.2011.5979561openalex-snapshot

AprilTag: A robust and flexible visual fiducial system

inferredcites →https://doi.org/10.1109/itsc.2016.7795905openalex-snapshot

Analyzing the relationship between head pose and gaze to model driver visual attention

inferredcites →https://doi.org/10.1109/itsc.2017.8317870openalex-snapshot

Challenges in head pose estimation of drivers in naturalistic recordings using existing tools

inferredcites →https://doi.org/10.1109/ivs.2007.4290175openalex-snapshot

UTDrive: Driver Behavior and Speech Interactive Systems for In-Vehicle Environments

inferredcites →https://doi.org/10.1109/ivs.2014.6856607openalex-snapshot

Robust and continuous estimation of driver gaze zone by dynamic analysis of multiple face videos

inferredcites →https://doi.org/10.1109/tits.2009.2026675openalex-snapshot

On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes

inferredcites →https://doi.org/10.1109/tits.2010.2091503openalex-snapshot

Real-Time Gaze Estimator Based on Driver's Head Orientation for Forward Collision Warning System

inferredcites →https://doi.org/10.1109/tits.2014.2324414openalex-snapshot

Predicting Perceived Visual and Cognitive Distractions of Drivers With Multimodal Features

inferredcites →https://doi.org/10.1109/tits.2015.2493451openalex-snapshot

Detecting Drivers' Mirror-Checking Actions and Its Application to Maneuver and Secondary Task Recognition

inferredcites →https://doi.org/10.1109/tmm.2013.2241416openalex-snapshot

Modeling of Driver Behavior in Real World Scenarios Using Multiple Noninvasive Sensors

inferredcites →https://doi.org/10.1145/2522848.2522876openalex-snapshot

Evaluating the robustness of an appearance-based gaze estimation method for multimodal interfaces

inferredcites →https://doi.org/10.1155/2015/207675openalex-snapshot

A Fuzzy Rules-Based Driver Assistance System

inferredcites →https://doi.org/10.1167/12.2.9openalex-snapshot

Head and eye gaze dynamics during visual attention shifts in complex environments

inferredcites →https://doi.org/10.1177/001872087201400404openalex-snapshot

Visual Search by Automobile Drivers

inferredcites →https://doi.org/10.1177/0278364908099459openalex-snapshot

Driver Inattention Detection based on Eye Gaze—Road Event Correlation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4782761openalex-extracted

An Efficient and Full Functional Network for Driver Attention Monitoring

inferred← citeshttps://doi.org/10.1007/s11042-024-19599-6openalex-snapshot

A systematic review of factors, data sources, and prediction techniques for earlier prediction of traffic collision using AI and machine Learning

inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107630openalex-snapshot

Self-calibrated driver gaze estimation via gaze pattern learning

inferred← citeshttps://doi.org/10.1016/j.sysarc.2021.102319openalex-snapshot

A survey on vision-based driver distraction analysis

inferred← citeshttps://doi.org/10.1109/cavs51000.2020.9334636openalex-snapshot

A Probabilistic Model for Visual Driver Gaze Approximation from Head Pose Estimation

inferred← citeshttps://doi.org/10.1109/icassp.2019.8683794openalex-snapshot

Estimation of Gaze Region Using Two Dimensional Probabilistic Maps Constructed Using Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1109/icme.2018.8486490openalex-snapshot

FI-CAP: Robust Framework to Benchmark Head Pose Estimation in Challenging Environments

inferred← citeshttps://doi.org/10.1109/iros60139.2025.11246226openalex-snapshot

DashGaze: Driver Gaze Through Dashcam

inferred← citeshttps://doi.org/10.1109/itsc.2018.8569709openalex-snapshot

Probabilistic Estimation of the Gaze Region of the Driver using Dense Classification

inferred← citeshttps://doi.org/10.1109/itsc.2019.8917198openalex-snapshot

Analysis of the Relationship Between Physiological Signals and Vehicle Maneuvers During a Naturalistic Driving Study

inferred← citeshttps://doi.org/10.1109/itsc45102.2020.9294562openalex-snapshot

Use of Triplet-Loss Function to Improve Driving Anomaly Detection Using Conditional Generative Adversarial Network

inferred← citeshttps://doi.org/10.1109/iv47402.2020.9304592openalex-snapshot

Robust Driver Head Pose Estimation in Naturalistic Conditions from Point-Cloud Data

inferred← citeshttps://doi.org/10.1109/iv55152.2023.10186571openalex-snapshot

Seatbelt Segmentation Using Synthetic Images

inferred← citeshttps://doi.org/10.1109/msp.2017.2699039openalex-snapshot

Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bed

inferred← citeshttps://doi.org/10.1109/ro-man47096.2020.9223546openalex-snapshot

The Role of Social Cues for Goal Disambiguation in Human-Robot Cooperation

inferred← citeshttps://doi.org/10.1109/tits.2021.3075350openalex-snapshot

Temporal Head Pose Estimation From Point Cloud in Naturalistic Driving Conditions

inferred← citeshttps://doi.org/10.1109/tits.2021.3095462openalex-snapshot

The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention

inferred← citeshttps://doi.org/10.1109/tiv.2022.3141071openalex-snapshot

Estimation of Driver’s Gaze Region From Head Position and Orientation Using Probabilistic Confidence Regions

inferred← citeshttps://doi.org/10.3390/s22062326openalex-snapshot

Dual-Cameras-Based Driver’s Eye Gaze Tracking System with Non-Linear Gaze Point Refinement

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