Deep learning for anomaly detection in time-series data: Review, analysis, and guidelines

K Choi, J Yi, C Park, S Yoon - IEEE access, 2021 - ieeexplore.ieee.org
As industries become automated and connectivity technologies advance, a wide range of
systems continues to generate massive amounts of data. Many approaches have been …

Dynamic load identification for mechanical systems: A review

R Liu, E Dobriban, Z Hou, K Qian - Archives of Computational Methods in …, 2022 - Springer
Due to the great challenges of measuring forces directly, identifying dynamic loads based on
accessible responses is a crucial problem in engineering, helping ensure integrity and …

Advanced estimation techniques for vehicle system dynamic state: A survey

X Jin, G Yin, N Chen - Sensors, 2019 - mdpi.com
In order to improve handling stability performance and active safety of a ground vehicle, a
large number of advanced vehicle dynamics control systems—such as the direct yaw control …

On the vehicle sideslip angle estimation: a literature review of methods, models, and innovations

D Chindamo, B Lenzo, M Gadola - applied sciences, 2018 - mdpi.com
Typical active safety systems that control the dynamics of passenger cars rely on the real-
time monitoring of the vehicle sideslip angle (VSA), together with other signals such as the …

Safe high-performance autonomous off-road driving using covariance steering stochastic model predictive control

J Knaup, K Okamoto, P Tsiotras - IEEE Transactions on Control …, 2023 - ieeexplore.ieee.org
Autonomous racing is a high-performance, safety-critical task that inherently involves a high
degree of uncertainty (especially in off-road unstructured environments), as driving …

Design of regenerative anti-lock braking system controller for 4 in-wheel-motor drive electric vehicle with road surface estimation

A Aksjonov, V Vodovozov, K Augsburg… - International Journal of …, 2018 - Springer
This paper presents a regenerative anti-lock braking system control method with road
detection capability. The aim of the proposed methodology is to improve electric vehicle …

Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks

S Kanarachos, J Mathew, ME Fitzpatrick - Expert Systems with Applications, 2019 - Elsevier
The high level of air pollution in urban areas, caused in no small extent by road transport,
requires the implementation of continuous and accurate monitoring techniques if emissions …

Advances in dynamic load identification based on data-driven techniques

D Fu, L Wang, G Lv, Z Shen, H Zhu, WD Zhu - Engineering Applications of …, 2023 - Elsevier
Dynamic loads on engineering structures are often difficult to measure directly. Therefore,
indirect identification methods based on dynamic responses are commonly used. However …

Terrain adaptive trajectory planning and tracking on deformable terrains

J Dallas, MP Cole, P Jayakumar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this work, a novel single-level adaptive trajectory planner and tracking controller is
developed for off-road autonomous vehicles operating on deformable terrains. Trajectory …

Tire speckle interference bubble defect detection based on improved faster RCNN-FPN

S Yang, D Jiao, T Wang, Y He - Sensors, 2022 - mdpi.com
With the development of neural networks, object detection based on deep learning is
developing rapidly, and its applications are gradually increasing. In the tire industry …