ATCLLSensorData

This repository contains a dataset that combines radar and camera-based object detection data collected in a vehicular context as well as Collective Perception Messages (CPMs) created from the collected sensor data.

For this dataset, a Smart Lamp Post located near a crosswalk on a four-lane road—a high-traffic entry/exit point in Aveiro—was used (figure below). Data collection was carried out continuously for 72 hours, encompassing two weekend days and one weekday to reflect different traffic densities and patterns.

The dataset comprises three files types generated over a 72-hour data collection period by an edge node situated in a real urban environment. These files include information obtained from both radar and video-based object detection, as well as CPMs created from the collected sensor data.

Authors

• Andreia Figueiredo - Instituto de Telecomunicações (IT) and Universidade de Aveiro (UA)
• João Amaral - Instituto de Telecomunicações (IT) and Universidade de Aveiro (UA)
• Marcos Mendes - Instituto de Telecomunicações (IT)
• Rodrigo Rosmaninho - Instituto de Telecomunicações (IT)
• Duarte Dias - Instituto de Telecomunicações (IT)
• Pedro Rito - Instituto de Telecomunicações (IT) and Universidade de Aveiro (UA)
• Miguel Luís - Instituto de Telecomunicações (IT) and Instituto Superior Técnico (IST)
• Duarte Raposo - Instituto de Telecomunicações (IT)
• Susana Sargento - Instituto de Telecomunicações (IT) and Universidade de Aveiro (UA)

Funding

This work is supported by the European Union / Next Generation EU, through Programa de Recuperação e Resiliência (PRR) [Project Nr. 29: Route 25 (02/C05-i01.01/2022.PC645463824-00000063)], and by the FCT scholarship 2022.12693.BD

Contact

If you have any questions.

Andreia Figueiredo andreiagf@ua.pt