Automated extraction of road features using LiDAR data: A review of LiDAR applications in transportation

S Gargoum, K El-Basyouny - 2017 4th International …, 2017 - ieeexplore.ieee.org
Mobile Light Detection and Ranging (LiDAR) integrates laser scanning equipment, Global
Positioning Systems, and inertial navigation technologies into one system that can acquire …

Intelligent road inspection with advanced machine learning; hybrid prediction models for smart mobility and transportation maintenance systems

N Karballaeezadeh, F Zaremotekhases… - Energies, 2020 - mdpi.com
Prediction models in mobility and transportation maintenance systems have been
dramatically improved by using machine learning methods. This paper proposes novel …

Road roughness estimation based on discrete Kalman filter with unknown input

SW Kang, JS Kim, GW Kim - Vehicle System Dynamics, 2019 - Taylor & Francis
The road roughness acts as a disturbance input to the vehicle dynamics, and causes
undesirable vibrations associated with the ride and handing characteristics. Furthermore …

Understanding dynamic data interaction between civil integrated management technologies: a review of use cases and enabling techniques

T Le, F Hassan, C Le, HD Jeong - International Journal of …, 2022 - Taylor & Francis
Civil integrated management (CIM) has emerged as an advanced paradigm to transform
transportation project delivery and asset management from a paper-based to a digital data …

Pavement performance monitoring and anomaly recognition based on crowdsourcing spatiotemporal data

TY Chuang, NH Perng, JY Han - Automation in Construction, 2019 - Elsevier
Pavement performance is a critical factor toward riding comfort experience and drastically
affect traffic management and the safety of road users. Since road quality declines over time …

Simultaneous estimation of state and unknown road roughness input for vehicle suspension control system based on discrete Kalman filter

GW Kim, SW Kang, JS Kim… - Proceedings of the …, 2020 - journals.sagepub.com
This study presents an improved discrete Kalman filter for simultaneously estimating both all
state variables and the unknown road roughness input for a vehicle suspension control …

A novel strengthened road roughness estimation framework based on the adaptive unbiased minimum variance with unknown input

L Kong, X Zhao, P Shi, Q Yu - Vehicle System Dynamics, 2024 - Taylor & Francis
The accurate acquisition of the strengthened road roughness is significant to vehicle
reliability and durability. However, the existing road roughness estimation methods are …

Using Kalman filter to estimate the pavement profile of a bridge from a passing vehicle considering their interaction

Y He, JP Yang - Acta Mechanica, 2021 - Springer
Pavement irregularity is an unknown source that affects the riding comfort and controllability
of a moving vehicle. In the vehicle scanning method, the frequency-domain information of …

Deep learning-based estimation of the unknown road profile and state variables for the vehicle suspension system

G Kim, SY Lee, JS Oh, S Lee - IEEE Access, 2021 - ieeexplore.ieee.org
The vehicle suspension control unit serves as a critical component to the vehicle system, as
it ensures the steering stability and sound ride quality of the vehicle. To effectively realize …

Simultaneous Estimation of Unknown Road Roughness Input and Tire Normal Forces Based on a Long Short-Term Memory Model

SJ Im, JS Oh, GW Kim - IEEE Access, 2022 - ieeexplore.ieee.org
This paper reports an initial study on the simultaneous estimation of unknown road
roughness input and tire normal forces for automotive vehicles using a long short-term …