6 citations · 6 across the 3 of their papers we have counts for
4 papers
Output-only road roughness identification from vehicle axle accelerations through a universal smoothing method
Zihao Liu, Daniel Dias-da-Costa, Tommy Chan +3
This paper presents an output-only method to identify road roughness profiles from axle accelerations of a moving vehicle. A two degree of freedom half-car model is discretised wit…
Experimental validation of universal filtering and smoothing for linear system identification using adaptive tuning
Zihao Liu, Sima Abolghasemi, Mohsen Ebrahimzadeh Hassanabadi +2
In Kalman filtering, unknown inputs are often estimated by augmenting the state vector, which introduces reliance on fictitious input models. In contrast, minimum-variance unbiased…
GAD-Generative Learning for HD Map-Free Autonomous Driving
Weijian Sun, Yanbo Jia, Qi Zeng +4
Deep-learning-based techniques have been widely adopted for autonomous driving software stacks for mass production in recent years, focusing primarily on perception modules, with s…
A recursive smoothing method for input and state estimation of vibrating structures
Zihao Liu, Mohsen Ebrahimzadeh Hassanabadi, Daniel Dias-da-Costa
Recursive Bayesian filters have been widely deployed in structural system identification where output-only filters are of higher practicality. Unfortunately, the estimation obtaine…