This paper proposes to detect the behavior of the turning head based on the body and head orientation using deep neural networks. The proposed system firstly ...

Jan 5, 2023 · This research proposes to estimate the cyclist's intention based on the body and head orientation using deep neural networks.

The crossing intention of the cyclist is expected to be predicted from the on-board camera of an autonomous vehicle. In a real traffic situation, a cyclist ...

The results suggest that when cyclists have priority at intersections, they nevertheless sometimes yield for cars.

This paper presents a review of recent developments in pedestrian and cyclist detection and intent estimation to increase the safety of autonomous vehicles.

Dec 24, 2020 · The considered factors in this study included vehicle type, gap size between cyclist and vehicle, vehicle speed, and right of way. Each factor ...

ABSTRACT: This article provides a systematic review of research articles on pedestrians and cyclists' intention recognition to be integrated into autonomous ...

Mar 15, 2024 · This paper aims to present a review of the state-of-the-art algorithms proposed to enable AV behaviour prediction systems to predict trajectories and ...

Dec 24, 2020 · This study aims to determine the main factors influencing cyclists' crossing intentions when interacting with an automated vehicle as compared to a ...

Mar 3, 2023 · A model that predicts pedestrian crossing behaviour at different locations around an urban intersection is proposed.