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Driver’s Intention Identification With the Involvement of Emotional Factors in Two-Lane Roads

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-540-24842-2_4openalex-snapshot
Emotion Recognition Using Bio-sensors: First Steps towards an Automatic System
inferredcites →https://doi.org/10.1016/j.apergo.2015.03.017openalex-snapshot
Multi-parameter prediction of drivers' lane-changing behaviour with neural network model
inferredcites →https://doi.org/10.1016/j.bspc.2019.101646openalex-snapshot
A machine learning model for emotion recognition from physiological signals
inferredcites →https://doi.org/10.1016/j.compedu.2019.103641openalex-snapshot
Increased emotional engagement in game-based learning – A machine learning approach on facial emotion detection data
inferredcites →https://doi.org/10.1016/j.csda.2016.12.008openalex-snapshot
Uncertainty-safe large scale support vector machines
inferredcites →https://doi.org/10.1016/j.knosys.2019.104886openalex-snapshot
Bagged support vector machines for emotion recognition from speech
inferredcites →https://doi.org/10.1016/j.neucom.2017.02.089openalex-snapshot
Adaptive fuzzy pattern classification for the online detection of driver lane change intention
inferredcites →https://doi.org/10.1016/j.psychsport.2008.08.005openalex-snapshot
The role of emotion in bridging the intention–behaviour gap: The case of sports participation
inferredcites →https://doi.org/10.1016/j.trf.2015.07.020openalex-snapshot
The perceived effectiveness of road safety interventions: Regulation of drivers’ behavioral intentions and self-consciousness
inferredcites →https://doi.org/10.1016/j.trf.2019.07.009openalex-snapshot
Amused, accepted, and used? Attitudes and emotions towards automated vehicles, their relationships, and predictive value for usage intention
inferredcites →https://doi.org/10.1109/itsc.2008.4732630openalex-snapshot
Continuous Driver Intention Recognition with Hidden Markov Models
inferredcites →https://doi.org/10.1109/ivs.2017.7995926openalex-snapshot
Employing consumer electronic devices in physiological and emotional evaluation of common driving activities
inferredcites →https://doi.org/10.1109/robio.2011.6181557openalex-snapshot
Autonomous driving: A comparison of machine learning techniques by means of the prediction of lane change behavior
inferredcites →https://doi.org/10.1109/tits.2007.902640openalex-snapshot
Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning
inferredcites →https://doi.org/10.11499/sicep.2004.0_101_4openalex-snapshot
Humane automotive system using driver intention recognition
inferredcites →https://doi.org/10.1155/2014/759571openalex-snapshot
Driver's Behavior and Decision-Making Optimization Model in Mixed Traffic Environment
inferredcites →https://doi.org/10.1176/appi.ajp.157.7.1185openalex-snapshot
Why We Feel: The Science of Human Emotions
inferredcites →https://doi.org/10.3182/20070904-3-kr-2922.00048openalex-snapshot
ACCIDENT BASED REQUIREMENTS ANALYSIS FOR ADVANCED DRIVER ASSISTANCE SYSTEMS
inferredcites →https://doi.org/10.5860/choice.37-1845openalex-snapshot
Why we feel: the science of human emotions

What points at this work

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

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inferred← citeshttps://doi.org/10.1049/itr2.70288openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cdc49753.2023.10384096openalex-snapshot
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