New_generation_thermal_traffic_sensor

Published: 11 March 2025| Version 1 | DOI: 10.17632/tw6ghtv624.1
Contributors:
Arnd Pettirsch,

Description

Official dataset related to the paper: New Generation Thermal Traffic Sensor: A Novel Dataset and Monocular 3D Thermal Vision Framework. The paper is available at https://doi.org/10.1016/j.knosys.2025.113334. Please cite the paper when using the dataset.

Files

Steps to reproduce

Two thermal image camera models the AXIS Q1942-E 10 mm and AXIS Q1952-E 10 mm were used to collect the data from the roadside. Both sensors record videos with 30 FPS and have 640 x 480 pixels resolution. The images are decoded in 8-bit format, where 255 is assigned to the hottest and 0 to the coldest pixel. These cameras were installed at 4 locations. These 4 locations include 3 inner-city spots and 1 location on rural road. A self developed tool were used to create 3D bounding box annotations and class labels for every object of the classes: motorcyclist, car, bus, truck, pedestrian, bicyclist or e-scooter. Perspective Projection was used to receive the world coordinates in UTM-system.

Institutions

Rheinisch Westfalische Technische Hochschule Aachen

Categories

Thermal Imaging, 3D Object Detection

Licence