mlsanityData to 7 Oct 2026

Agreeing to Cross: How Drivers and Pedestrians Communicate

arXiv 1702.03555 ↗First posted 12 Feb 2017cs.ROcited by 23

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Abstract (arXiv)

The contribution of this paper is twofold. The first is a novel dataset for studying behaviors of traffic participants while crossing. Our dataset contains more than 650 samples of pedestrian behaviors in various street configurations and weather conditions. These examples were selected from approx. 240 hours of driving in the city, suburban and urban roads. The second contribution is an analysis of our data from the point of view of joint attention. We identify what types of non-verbal communication cues road users use at the point of crossing, their responses, and under what circumstances the crossing event takes place. It was found that in more than 90% of the cases pedestrians gaze at the approaching cars prior to crossing in non-signalized crosswalks. The crossing action, however, depends on additional factors such as time to collision (TTC), explicit driver's reaction or structure of the crosswalk.

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Feb 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 4; 2023: 5; 2024: 1; 2025: 3; 2026: 5.

23 papers.

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  1. 2021Explanations in Autonomous Driving: A Surveycited by 80
  2. 2022PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learningcited by 23
  3. 2021TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing predictioncited by 13
  4. 2023A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for Egocentric Pedestrian Trajectory Predictioncited by 12
  5. 2021Pedestrian Simulation: A Reviewcited by 5
  6. 2021Do Pedestrians Pay Attention? Eye Contact Detection in the Wildcited by 5
  7. 2022Ordinal-ResLogit: Interpretable Deep Residual Neural Networks for Ordered Choicescited by 5
  8. 2025Pedestrian Intention Prediction via Vision-Language Foundation Modelscited by 5
  9. 2023CARLA-BSP: a simulated dataset with pedestrianscited by 3
  10. 2025ACIT: Attention-Guided Cross-Modal Interaction Transformer for Pedestrian Crossing Intention Predictioncited by 3
  11. 2026Modeling 3D Pedestrian-Vehicle Interactions for Vehicle-Conditioned Pose Forecastingcited by 3
  12. 2022Context-empowered Visual Attention Prediction in Pedestrian Scenarioscited by 2
11 more
  1. 2023Pedestrian and Passenger Interaction with Autonomous Vehicles: Field Study in a Crosswalk Scenariocited by 2
  2. 2024Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensorscited by 2
  3. 2025MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understandingcited by 2
  4. 2022Towards Everyday Virtual Reality through Eye Trackingcited by 1
  5. 2021A taxonomy of strategic human interactions in traffic conflictscited by 0
  6. 2023Intend-Wait-Perceive-Cross: Exploring the Effects of Perceptual Limitations on Pedestrian Decision-Makingcited by 0
  7. 2023Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Drivingcited by 0
  8. 2026ARCANE-PedSynth: Synthetic Multi-Pedestrian Datasets with Behavioural Crossing Annotationscited by 0
  9. 2026Adaptive Cross-Modal Fusion with Sparse Attention for Pedestrian Crossing Intention Predictioncited by 0
  10. 2026LLM-Driven Autonomous Vehicles Inherit Human Driver Biases in Pedestrian Yielding: Results and Implications From A New Benchmarkcited by 0
  11. 2026Pedestrian Crossing Intent Classification From Event-Based Vision Using Convolutional Spiking Neural Networks With Temporal Augmentationcited by 0