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Updated: Nov 15, 2025

Photorealistic Learned Landscapes for Augmented Reality
Published on: June 27, 2025
A 3D texture dataset of 27 km road
1Université Gustave Eiffel, Campus de Nantes, Allée des Ponts et Chaussées, 44340 Bouguenais, France.
Abstract:
This dataset represents the 3D road surface texture of a route of 27 km long in a resolution of 0.1 m approximatively in both longitudinal and transversal directions. The first purpose of the dataset is to test numerical programs that need road surface topographies as input. The dataset is composed of 2658 text files and each representing a section of that route. The data was collected with the Harris2, a vehicle operated by TRL (Transport Research Laboratory from the UK), equipped with a LiDAR (Light Detection and Ranging) and a PPS (Road-Profile System). The files are presented in a regular grid achieved by merging the LIDAR and the PPS data into 3D coordinates.
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