The Components of Collaborative Joint Perception and Prediction: A Conceptual Framework

Lei Wan, Lei Wan, Hannan Ejaz Keen, Alexey Vinel

2025

Abstract

Connected Autonomous Vehicles (CAVs) benefit from Vehicle-to-Everything (V2X) communication, which enables the exchange of sensor data to achieve Collaborative Perception (CP). To reduce cumulative errors in perception modules and mitigate the visual occlusion, this paper introduces a new task, Collaborative Joint Perception and Prediction (Co-P&P), and provides a conceptual framework for its implementation to improve motion prediction of surrounding objects, thereby enhancing vehicle awareness in complex traffic scenarios. The framework consists of two decoupled core modules, Collaborative Scene Completion (CSC) and Joint Perception and Prediction (P&P) module, which simplify practical deployment and enhance scalability. Additionally, we outline the challenges in Co-P&P and discuss future directions for this research area.

Paper Citation

in Harvard Style

Wan L., Keen H. and Vinel A. (2025). The Components of Collaborative Joint Perception and Prediction: A Conceptual Framework. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS; ISBN 978-989-758-745-0, SciTePress, pages 458-465. DOI: 10.5220/0013285300003941

in Bibtex Style

@conference{vehits25,
author={Lei Wan and Hannan Keen and Alexey Vinel},
title={The Components of Collaborative Joint Perception and Prediction: A Conceptual Framework},
booktitle={Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS},
year={2025},
pages={458-465},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013285300003941},
isbn={978-989-758-745-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS
TI - The Components of Collaborative Joint Perception and Prediction: A Conceptual Framework
SN - 978-989-758-745-0
AU - Wan L.
AU - Keen H.
AU - Vinel A.
PY - 2025
SP - 458
EP - 465
DO - 10.5220/0013285300003941
PB - SciTePress