Feature Papers in Vehicular Sensing-Reference-Cited by-同舟云学术

Feature Papers in Vehicular Sensing

Published:2023-05-05 Issue:9 Volume:23 Page:4495
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Jiménez Felipe¹^ORCID

Affiliation:

1. Instituto Universitario de Investigación del Automóvil (INSIA), Universidad Politécnica de Madrid, 28031 Madrid, Spain

Abstract

This Special Issue compiles papers submitted by the Editorial Board Members of the Vehicular Sensing Section and outstanding scholars in this field [...]

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/23/9/4495/pdf

Reference16 articles.

1. Nie, X., Min, C., Pan, Y., Li, Z., and Królczyk, G. (2022). An Improved Deep Neural Network Model of Intelligent Vehicle Dynamics via Linear Decreasing Weight Particle Swarm and Invasive Weed Optimization Algorithms. Sensors, 22.

2. Alabe, L.W., Kea, K., Han, Y., Min, Y.J., and Kim, T. (2022). A Deep Learning Approach to Detect Anomalies in an Electric Power Steering System. Sensors, 22.

3. Li, G., Wei, X., Wang, Z., and Bao, H. (2022). Study on the Pressure Regulation Method of New Automatic Pressure Regulating Valve in the Electronically Controlled Pneumatic Brake Systems in Commercial Vehicles. Sensors, 22.

4. Araluce, J., Bergasa, L.M., Ocaña, M., López-Guillén, E., Gutiérrez-Moreno, R., and Arango, J.F. (2022). Driver Take-Over Behaviour Study Based on Gaze Focalization and Vehicle Data in CARLA Simulator. Sensors, 22.

5. Gryz, K., Karpowicz, J., and Zradzinski, P. (2022). Complex Electromagnetic Issues Associated with the Use of Electric Vehicles in Urban Transportation. Sensors, 22.