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Agreeing to cross: How drivers and pedestrians communicate

https://doi.org/10.1109/ivs.2017.7995730

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What this work says

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

inferredcites →https://doi.org/10.1002/rob.20147openalex-snapshot

Stanley: The robot that won the DARPA Grand Challenge

inferredcites →https://doi.org/10.1007/978-3-319-00065-7_64openalex-snapshot

Intention-Aware Pedestrian Avoidance

inferredcites →https://doi.org/10.1007/978-3-319-10599-4_40openalex-snapshot

Context-Based Pedestrian Path Prediction

inferredcites →https://doi.org/10.1007/978-3-662-48847-8_16openalex-snapshot

The Effect of Autonomous Vehicles on Traffic

inferredcites →https://doi.org/10.1007/978-3-662-48847-8_25openalex-snapshot

Fundamental and Special Legal Questions for Autonomous Vehicles

inferredcites →https://doi.org/10.1007/978-3-662-48847-8_3openalex-snapshot

Automated Driving in Its Social, Historical and Cultural Contexts

inferredcites →https://doi.org/10.1007/978-3-662-48847-8_6openalex-snapshot

The Interaction Between Humans and Autonomous Agents

inferredcites →https://doi.org/10.1007/s12544-016-0202-zopenalex-snapshot

The study design of UDRIVE: the naturalistic driving study across Europe for cars, trucks and scooters

inferredcites →https://doi.org/10.1016/j.aap.2011.04.012openalex-snapshot

Gender differences in pedestrian rule compliance and visual search at signalized and unsignalized crossroads

inferredcites →https://doi.org/10.1016/j.iatssr.2010.07.002openalex-snapshot

An investigation of factors contributing to major crash types in Japan based on naturalistic driving data

inferredcites →https://doi.org/10.1016/j.proeng.2016.01.274openalex-snapshot

Analysis of the Influence of Pedestrians’ eye Contact on Drivers’ Comfort Boundary During the Crossing Conflict

inferredcites →https://doi.org/10.1016/j.ssci.2015.01.018openalex-snapshot

A pedestrian’s stare and drivers’ stopping behavior: A field experiment at the pedestrian crossing

inferredcites →https://doi.org/10.1016/j.ssci.2015.01.019openalex-snapshot

Drivers’ comfort boundaries in pedestrian crossings: A study in driver braking characteristics as a function of pedestrian walking speed

inferredcites →https://doi.org/10.1016/j.trf.2009.02.003openalex-snapshot

Pedestrians at the kerb – Recognising the action intentions of humans

inferredcites →https://doi.org/10.1016/j.trf.2015.02.002openalex-snapshot

The estimation of vehicle speed and stopping distance by pedestrians crossing streets in a naturalistic traffic environment

inferredcites →https://doi.org/10.1109/21.61200openalex-snapshot

An integrated spatio-temporal approach to automatic visual guidance of autonomous vehicles

inferredcites →https://doi.org/10.1109/iccv.2009.5459260openalex-snapshot

You'll never walk alone: Modeling social behavior for multi-target tracking

inferredcites →https://doi.org/10.1109/itsc.2010.5625157openalex-snapshot

Study of pedestrians' gap acceptance behavior when they jaywalk outside crossing facilities

inferredcites →https://doi.org/10.1109/ivs.2013.6629622openalex-snapshot

Estimating driver awareness of pedestrians from driving behavior based on a probabilistic model

inferredcites →https://doi.org/10.1109/ivs.2015.7225754openalex-snapshot

Pedestrian intention recognition using Latent-dynamic Conditional Random Fields

inferredcites →https://doi.org/10.1109/tpami.2008.260openalex-snapshot

Monocular Pedestrian Detection: Survey and Experiments

inferredcites →https://doi.org/10.1109/tpami.2011.155openalex-snapshot

Pedestrian Detection: An Evaluation of the State of the Art

inferredcites →https://doi.org/10.1109/tpami.2013.220openalex-snapshot

Understanding Collective Activitiesof People from Videos

inferredcites →https://doi.org/10.1111/2041-210x.12584openalex-snapshot

BORIS : a free, versatile open‐source event‐logging software for video/audio coding and live observations

inferredcites →https://doi.org/10.1177/0018720809337814openalex-snapshot

The Interaction of Cognitive Load and Attention-Directing Cues in Driving

inferredcites →https://doi.org/10.1177/0278364913491297openalex-snapshot

Vision meets robotics: The KITTI dataset

inferredcites →https://doi.org/10.1207/s15326969eco0803_4openalex-snapshot

To Cross or Not to Cross: The Effect of Locomotion on Street-Crossing Behavior

inferredcites →https://doi.org/10.3141/2389-01openalex-snapshot

Event-Based Modeling of Driver Yielding Behavior to Pedestrians at Two-Lane Roundabout Approaches

inferredcites →https://doi.org/10.48550/arxiv.1609.04741openalex-snapshot

Joint Attention in Autonomous Driving (JAAD)

What points at this work

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

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Do Pedestrians Pay Attention? Eye Contact Detection in the Wild

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Observational work

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Multi-Input Fusion for Practical Pedestrian Intention Prediction

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A stochastically verifiable decision making framework for autonomous ground vehicles

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Early Warning Pedestrian Crossing Intention From Its Head Gesture using Head Pose Estimation

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Pedestrian crossing decision prediction based on behavioral feature using deep learning

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Prediction of Human Intention in Vehicles, Pedestrians and Bicyclists Interactions

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ROSA: Roundabout Optimized Speed Advisory with Multi-Agent Trajectory Prediction in Multimodal Traffic

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ACIT: Attention-Guided Cross-Modal Interaction Transformer for Pedestrian Crossing Intention Prediction

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Do They Want to Cross? Understanding Pedestrian Intention for Behavior Prediction

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Extraction and analysis of massive skeletal information from video data of crowded urban locations for understanding implicit gestures of road users

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Traffic Police Gesture Recognition by Pose Graph Convolutional Networks

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Applying the Extended Theory of Planned Behavior to Pedestrian Intention Estimation

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Multi-Modal Hybrid Architecture for Pedestrian Action Prediction

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Intend-Wait-Perceive-Cross: Exploring the Effects of Perceptual Limitations on Pedestrian Decision-Making

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Traffic Light and Uncertainty Aware Pedestrian Crossing Intention Prediction for Automated Vehicles

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PedAnalyze - Pedestrian Behavior Annotator and Ontology

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Pedestrian Intention Prediction via Vision-Language Foundation Models

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Where Do Passengers Gaze? Impact of Passengers' Personality Traits on Their Gaze Pattern Toward Pedestrians During APMV-Pedestrian Interactions with Diverse eHMIs

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Skeleton model based behavior recognition for pedestrians and cyclists from vehicle sce ne camera

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Is the Pedestrian going to Cross? Answering by 2D Pose Estimation

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Personal Space of Autonomous Car’s Passengers Sitting in the Driver’s Seat

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Pedestrian Decision-Making Responses to External Human-Machine Interface Designs for Autonomous Vehicles

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Perceived Pedestrian Safety: Public Interaction with Driverless Vehicles

inferred← citeshttps://doi.org/10.1109/ivs.2019.8814207openalex-snapshot

Forecasting Pedestrian Trajectory with Machine-Annotated Training Data

inferred← citeshttps://doi.org/10.1109/iwis58789.2023.10284662openalex-snapshot

Hybrid Deep Reinforcement Learning Model for Safe and Efficient Autonomous Vehicles at Pedestrian Crossings

inferred← citeshttps://doi.org/10.1109/jsen.2024.3411607openalex-snapshot

Spatiotemporal Interactive Pedestrian Intention Prediction With Illumination Transformation

inferred← citeshttps://doi.org/10.1109/jsen.2025.3628663openalex-snapshot

MTC: Multimodal Transformer With Cross-Modality Guided Attention for Pedestrian Crossing Intention Prediction

inferred← citeshttps://doi.org/10.1109/lra.2021.3138161openalex-snapshot

Can Cars Gesture? A Case for Expressive Behavior Within Autonomous Vehicle and Pedestrian Interactions

inferred← citeshttps://doi.org/10.1109/mra.2020.2976313openalex-snapshot

Unsupervised Pedestrian Pose Prediction: A Deep Predictive Coding Network-Based Approach for Autonomous Vehicle Perception

inferred← citeshttps://doi.org/10.1109/mysurucon52639.2021.9641601openalex-snapshot

Computer Vision Based Vehicle Intension Finding by Understanding Driver Hand Signal

inferred← citeshttps://doi.org/10.1109/sisy60376.2023.10417908openalex-snapshot

Cooperative Decision-Making in Shared Spaces: Making Urban Traffic Safer Through Human-Machine Cooperation

inferred← citeshttps://doi.org/10.1109/smc53654.2022.9945188openalex-snapshot

Cooperative Behaviors of Connected Autonomous Vehicles and Pedestrians to Provide Safe and Efficient Traffic in Industrial Sites

inferred← citeshttps://doi.org/10.1109/temsmet56707.2023.10150068openalex-snapshot

0I Can Cross If you are decelerating: Pedestrian-Vehicle Communication While Deciding To Cross

inferred← citeshttps://doi.org/10.1109/thms.2022.3158201openalex-snapshot

Driver-Pedestrian Perceptual Models Demonstrate Coupling: Implications for Vehicle Automation

inferred← citeshttps://doi.org/10.1109/tip.2021.3058599openalex-snapshot

Holistic LSTM for Pedestrian Trajectory Prediction

inferred← citeshttps://doi.org/10.1109/tits.2019.2901817openalex-snapshot

Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice

inferred← citeshttps://doi.org/10.1109/tits.2019.2946642openalex-snapshot

Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation

inferred← citeshttps://doi.org/10.1109/tits.2020.3006767openalex-snapshot

Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior

inferred← citeshttps://doi.org/10.1109/tits.2021.3108795openalex-snapshot

Predicting Appearance of Vehicles From Blind Spots Based on Pedestrian Behaviors at Crossroads

inferred← citeshttps://doi.org/10.1109/tits.2021.3135251openalex-snapshot

Action Recognition Framework in Traffic Scene for Autonomous Driving System

inferred← citeshttps://doi.org/10.1109/tits.2022.3173537openalex-snapshot

Pedestrian Graph +: A Fast Pedestrian Crossing Prediction Model Based on Graph Convolutional Networks

inferred← citeshttps://doi.org/10.1109/tits.2024.3491972openalex-snapshot

Development of a Modular ROS-Enabled Pedestrian Intention Prediction Architecture for AVs Maneuvering Control

inferred← citeshttps://doi.org/10.1109/tiv.2021.3116436openalex-snapshot

Pedestrian Behavior in Shared Spaces With Autonomous Vehicles: An Integrated Framework and Review

inferred← citeshttps://doi.org/10.1109/vr.2019.8797758openalex-snapshot

Person Independent, Privacy Preserving, and Real Time Assessment of Cognitive Load using Eye Tracking in a Virtual Reality Setup

inferred← citeshttps://doi.org/10.1109/vtc2021-fall52928.2021.9625360openalex-snapshot

Pedestrian Crossing Intention Prediction via Spatio-Temporal Visual Data in Urban Traffic Scenes

inferred← citeshttps://doi.org/10.1109/wacv45572.2020.9093446openalex-snapshot

Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments

inferred← citeshttps://doi.org/10.1109/wacv45572.2020.9093524openalex-snapshot

Periphery-Fovea Multi-Resolution Driving Model Guided by Human Attention

inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00130openalex-snapshot

Benchmark for Evaluating Pedestrian Action Prediction

inferred← citeshttps://doi.org/10.1109/wacv56688.2023.00101openalex-snapshot

Context-empowered Visual Attention Prediction in Pedestrian Scenarios

inferred← citeshttps://doi.org/10.1111/itor.12936openalex-snapshot

Decision support issues in automated driving systems

inferred← citeshttps://doi.org/10.1145/3173574.3174003openalex-snapshot

Communicating Awareness and Intent in Autonomous Vehicle-Pedestrian Interaction

inferred← citeshttps://doi.org/10.1145/3313831.3376197openalex-snapshot

The Effects of Explicit Intention Communication, Conspicuous Sensors, and Pedestrian Attitude in Interactions with Automated Vehicles

inferred← citeshttps://doi.org/10.1145/3313831.3376325openalex-snapshot

Color and Animation Preferences for a Light Band eHMI in Interactions Between Automated Vehicles and Pedestrians

inferred← citeshttps://doi.org/10.1145/3338286.3340138openalex-snapshot

Investigating the Influence of External Car Displays on Pedestrians' Crossing Behavior in Virtual Reality

inferred← citeshttps://doi.org/10.1145/3341105.3373877openalex-snapshot

M2P3

inferred← citeshttps://doi.org/10.1145/3342197.3344528openalex-snapshot

Overtrust in External Cues of Automated Vehicles

inferred← citeshttps://doi.org/10.1145/3342197.3344543openalex-snapshot

Designing for Projection-based Communication between Autonomous Vehicles and Pedestrians

inferred← citeshttps://doi.org/10.1145/3342197.3344544openalex-snapshot

How Should Automated Vehicles Interact with Pedestrians?

inferred← citeshttps://doi.org/10.1145/3351265openalex-snapshot

Pedestrians and Visual Signs of Intent

inferred← citeshttps://doi.org/10.1145/3359566.3364696openalex-snapshot

Why did the human cross the road?

inferred← citeshttps://doi.org/10.1145/3447332.3447333openalex-snapshot

Multimodal multi-pedestrian path prediction for autonomous cars

inferred← citeshttps://doi.org/10.1145/3491101.3519764openalex-snapshot

Exploring Emotion Responses toward Pedestrian Crossing Actions for Designing In-vehicle Empathic Interfaces

inferred← citeshttps://doi.org/10.1145/3543174.3546838openalex-snapshot

Pedestrian-Vehicle Interaction in Shared Space: Insights for Autonomous Vehicles

inferred← citeshttps://doi.org/10.1145/3543174.3546842openalex-snapshot

Investigating Affective Responses toward In-Video Pedestrian Crossing Actions using Camera and Physiological Sensors

inferred← citeshttps://doi.org/10.1145/3580585.3607155openalex-snapshot

Do Drivers have Preconceived Ideas about an Automated Vehicle's Driving Behaviour?

inferred← citeshttps://doi.org/10.1145/3580585.3607173openalex-snapshot

A Real Bottleneck Scenario with a Wizard of Oz Automated Vehicle - Role of eHMIs

inferred← citeshttps://doi.org/10.1145/3604261openalex-snapshot

My Eyes Speak: Improving Perceived Sociability of Autonomous Vehicles in Shared Spaces Through Emotional Robotic Eyes

inferred← citeshttps://doi.org/10.1145/3613904.3642118openalex-snapshot

Exploring the Impact of Interconnected External Interfaces in Autonomous Vehicles on Pedestrian Safety and Experience

inferred← citeshttps://doi.org/10.1145/3613905.3650930openalex-snapshot

Exploring Collective Theory of Mind on Pedestrian Behavioral Intentions

inferred← citeshttps://doi.org/10.1145/3699778openalex-snapshot

Longitudinal Effects of External Communication of Automated Vehicles in the USA and Germany: A Comparative Study in Virtual Reality and Via a Browser

inferred← citeshttps://doi.org/10.1145/3726986.3727906openalex-snapshot

The Role of Emotional Expressions by Autonomous Agents in Road-Sharing: Using Scenario Prompts in Online Video and Virtual Reality Studies

inferred← citeshttps://doi.org/10.1145/3744335.3758515openalex-snapshot

Analysis of Driver and Pedestrian Gesture Use in the Boston Area. Automated Vehicles May Need More Than Kinematics in Ambiguous Situations

inferred← citeshttps://doi.org/10.1145/3749473openalex-snapshot

You're the One Whom I'm Talking To: The Role of Contextual External Human-Machine Interfaces in Multi-Road User Conflict Scenarios

inferred← citeshttps://doi.org/10.1145/3828158.3838268openalex-snapshot

Learning a Simple Directional eHMI: A VR Study of AV-Pedestrian Interaction

inferred← citeshttps://doi.org/10.1155/2021/5573560openalex-snapshot

I See Your Gesture: A VR-Based Study of Bidirectional Communication between Pedestrians and Automated Vehicles

inferred← citeshttps://doi.org/10.1177/00187208241272070openalex-snapshot

Hello, is it me you’re Stopping for? The Effect of external Human Machine Interface Familiarity on Pedestrians’ Crossing Behaviour in an Ambiguous Situation

inferred← citeshttps://doi.org/10.1177/09544070231175536openalex-snapshot

Predicting pedestrian tracks around moving vehicles based on conditional variational transformer

inferred← citeshttps://doi.org/10.1177/09544070231190522openalex-snapshot

Multi-attention network for pedestrian intention prediction based on spatio-temporal feature fusion

inferred← citeshttps://doi.org/10.1177/10711813241276467openalex-snapshot

Naturalistic Analysis of Bidirectional Gazing During Vehicle-Pedestrian Encounters at Road Crossings

inferred← citeshttps://doi.org/10.1201/9781003338475-1openalex-snapshot

Continuous Game Theory Pedestrian Modelling Method for Autonomous Vehicles

inferred← citeshttps://doi.org/10.1515/aot-2020-0055openalex-snapshot

Diffractive optics based automotive lighting system

inferred← citeshttps://doi.org/10.1515/pjbr-2018-0009openalex-snapshot

Understandable robots - What, Why, and How

inferred← citeshttps://doi.org/10.1609/aaai.v34i05.6217openalex-snapshot

Learning to Communicate Implicitly by Actions

inferred← citeshttps://doi.org/10.17077/drivingassessment.1678openalex-snapshot

Hacking Nonverbal Communication between Pedestrians and Vehicles in Virtual Reality

inferred← citeshttps://doi.org/10.17077/drivingassessment.1710openalex-snapshot

Eye Contact between Pedestrians and Drivers

inferred← citeshttps://doi.org/10.2139/ssrn.4819070openalex-snapshot

Pedestrians and Motorcyclists: Evaluation of Ehmi Designed Based on Communication Behavior in Various Scenarios

inferred← citeshttps://doi.org/10.2352/ei.2023.35.16.avm-119openalex-snapshot

Design of an automotive platform for computer vision research

inferred← citeshttps://doi.org/10.26599/tst.2021.9010068openalex-snapshot

A Survey of Human Action Recognition and Posture Prediction

inferred← citeshttps://doi.org/10.31234/osf.io/2eyz4openalex-snapshot

Hello, is it me you’re stopping for? The effect of eHMI familiarity on pedestrians’ crossing behaviour in an ambiguous situation

inferred← citeshttps://doi.org/10.31234/osf.io/2xub4openalex-snapshot

Learning to interpret novel eHMI: The effect of vehicle kinematics and eHMI familiarity on pedestrians' crossing behaviour

inferred← citeshttps://doi.org/10.31234/osf.io/cgj7ropenalex-snapshot

At the Zebra Crossing: Modelling Complex Decision Processes with Variable-Drift Diffusion Models

inferred← citeshttps://doi.org/10.31234/osf.io/qt6maopenalex-snapshot

A distributed simulation study to investigate pedestrians’ head-turning behaviour when crossing in response to automated and human-driven vehicles displaying different braking patterns

inferred← citeshttps://doi.org/10.31234/osf.io/wpkvaopenalex-snapshot

Pedestrians’ perceptions of automated vehicle movements and light-based eHMIs in real world conditions: A test track study

inferred← citeshttps://doi.org/10.32920/24034107openalex-snapshot

Pedestrian Dynamics in Smart Cities: Ubiquitous Sensing, Interactions, and Models

inferred← citeshttps://doi.org/10.32920/24034107.v1openalex-snapshot

Pedestrian Dynamics in Smart Cities: Ubiquitous Sensing, Interactions, and Models

inferred← citeshttps://doi.org/10.3389/fcomp.2022.844245openalex-snapshot

Take It to the Curb: Scalable Communication Between Autonomous Cars and Vulnerable Road Users Through Curbstone Displays

inferred← citeshttps://doi.org/10.3389/fcomp.2022.863072openalex-snapshot

Go Ahead, Please!—Evaluation of External Human—Machine Interfaces in a Real-World Crossing Scenario

inferred← citeshttps://doi.org/10.3389/fhumd.2021.676667openalex-snapshot

Intelligent Mobility in the City: The Influence of System and Context Factors on Drivers’ Takeover Willingness and Trust in Automated Vehicles

inferred← citeshttps://doi.org/10.3389/fpsyg.2018.01336openalex-snapshot

Communicating Intent of Automated Vehicles to Pedestrians

inferred← citeshttps://doi.org/10.3389/fpsyg.2022.1080025openalex-snapshot

Symbolic meanings of ordinary city streets and their trees

inferred← citeshttps://doi.org/10.3389/fpsyg.2022.981666openalex-snapshot

Crossing the street in front of an autonomous vehicle: An investigation of eye contact between drivengers and vulnerable road users

inferred← citeshttps://doi.org/10.3389/fpsyg.2025.1636225openalex-snapshot

A qualitative focus groups study to identify how pedestrians perceive the arrival of fully autonomous vehicles

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