Concept
Road texture
Related publications (40)
Artificial Intelligence for road quality assessment in smart cities: a machine learning approach to acoustic data analysis
In smart cities, ensuring road safety and optimizing transportation efficiency heavily relies on streamlined road condition monitoring. The application of Artificial Intelligence (AI) has notably enhanced the capability to detect road surfaces effectively. ...
London2023Ultrahigh Electrostrictive Effect in Lead-Free Ferroelectric Ceramics Via Texture Engineering
Dragan Damjanovic, Li Jin, Yuan Sun
The electrostrictive effect, which induces strain in ferroelectric ceramics, offers distinct advantages over its piezoelectric counterpart for high-precision actuator applications, including anhysteretic behavior even at high frequencies, rapid reaction ti ...
Washington2023Using video detection of snow surface movements to estimate weak layer crack propagation speeds
Johan Alexandre Philippe Gaume, Bertil Trottet, Alec van Herwijnen
Dry-snow slab avalanches release due to crack propagation in a weak snow layer under a cohesive snow slab. Crack propagation speeds can provide insights into the potential size of avalanches and inform fracture and avalanche release models. Despite their i ...
CAMBRIDGE UNIV PRESS2023Vehicle trajectory prediction works, but not everywhere
Alexandre Massoud Alahi, Seyed Mohsen Moosavi Dezfooli, Ahmad Rahimi, Saeed Saadatnejad, Mohammadhossein Bahari
Vehicle trajectory prediction is nowadays a fundamental pillar of self-driving cars. Both the industry and research communities have acknowledged the need for such a pillar by providing public benchmarks. While state-of-the-art methods are impressive, i.e. ...
IEEE2022Adhesive wear regimes on rough surfaces and interaction of micro-contacts
Jean-François Molinari, Son-Jonathan Pham-Ba
We develop an analytical model of adhesive wear between two unlubricated rough surfaces, forming micro-contacts under normal load. The model is based on an energy balance and a crack initiation criteria. We apply the model to the problem of self-affine rou ...
2021Evolution and spatial variability of small-scale surface roughness of snow and sea ice during MOSAiC
Michael Lehning, Marc Schneebeli Zeugin, Dávid Wágner, David Nicholas Wagner
Small-scale surface roughness (on an area of about 0.5 m x 0.5 m) affects remote sensing retrieval algorithms and radiative transfer models, yet data of snow and ice surface roughness over sea ice is scarce. Microwave emissivity, important for satellite re ...
2021Creation and evolution of roughness on silica under unlubricated wear
Jean-François Molinari, Son-Jonathan Pham-Ba
Friction and wear are important phenomena occurring in all devices with moving parts. While their origin and the way they evolve over time are not fully understood, they are both intimately linked to surface roughness. Guided by pin-on-disc experiments, we ...
2020An optimization framework for exclusive bus lane allocation in large networks with dynamic congestion
Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas
Road space distribution among multiple modes of transport in urban networks has attracted the interest of several researchers and policy planners. Traditionally, these problems are solved by ignoring operational and dynamic characteristics of multi-modal c ...
2019Adhesive wear mechanisms in the presence of weak interfaces
Jean-François Molinari, Tobias Brink
Despite the relevance of wear in many engineering applications, our understanding of the connection between mechanisms at the nanoscale and the observed wear rates of contacting parts at the macroscale remains limited. Recent work in our group has therefor ...
2019Continuous structural health monitoring for short and medium span bridges
In this paper, although there are some useful monitoring methods for short and medium span(10-20m) bridges based on the qualitative or quantitative information, mainly two advanced structural health monitoring systems are described to review and analyses t ...
CRC PRESS-TAYLOR & FRANCIS GROUP2018