TTSPD: A Multimodal Traffic Scene Perception Dataset Integrating Tire Data

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Authors: Dong Zhekang
Cited by: 0

Abstract

This dataset synchronously collects six types of tire sensor data, including radial acceleration, tire temperature, and tire pressure, during vehicle driving, as well as traffic scene image data covering four typical road surfaces and multiple meteorological conditions, including asphalt, cement, water accumulation, and damage. It provides a new data form for constructing a multimodal traffic scene perception and intelligent decision-making system under the constraint of vehicle grade computing power. To quote this data set, be sure to quote the literature (in typesetting):See: https://jeit.ac.cn/cn/article/doi/10.11999/JEIT260022

Fields of Study & Subjects

Vehicle Dynamics and Control Systems Autonomous Vehicle Technology and Safety Traffic and Road Safety

Publication details

Journal / source
ScienceDB
Publication date
2 February 2026
Language
ZH
Document type
Dataset