Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice
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Abstract (arXiv)
Today, one of the major challenges that autonomous vehicles are facing is the ability to drive in urban environments. Such a task requires communication between autonomous vehicles and other road users in order to resolve various traffic ambiguities. The interaction between road users is a form of negotiation in which the parties involved have to share their attention regarding a common objective or a goal (e.g. crossing an intersection), and coordinate their actions in order to accomplish it. In this literature review we aim to address the interaction problem between pedestrians and drivers (or vehicles) from joint attention point of view. More specifically, we will discuss the theoretical background behind joint attention, its application to traffic interaction and practical approaches to implementing joint attention for autonomous vehicles.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Feb 2018.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 0; 2025: 1.
4 papers.
- 2022Behavioral Intention Prediction in Driving Scenes: A Surveycited by 30
- 2021IntFormer: Predicting pedestrian intention with the aid of the Transformer architecturecited by 13
- 2025SalM2: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attentioncited by 4
- 2022WatchPed: Pedestrian Crossing Intention Prediction Using Embedded Sensors of Smartwatchcited by 3
- 2025SalM2: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention22 Feb 2025
- 2022Behavioral Intention Prediction in Driving Scenes: A Survey1 Nov 2022
- 2022WatchPed: Pedestrian Crossing Intention Prediction Using Embedded Sensors of Smartwatch15 Aug 2022
- 2021IntFormer: Predicting pedestrian intention with the aid of the Transformer architecture18 May 2021