Research on Real-time Operational Status Evaluation Technology of Automobile Based on Information Data Fusion Algorithm
Zuo Yanhong, Xia Shilong, Zhou Chao, Yang Kun

TL;DR
This paper introduces a real-time automobile status evaluation method using a fractional-order data fusion algorithm to improve reliability amidst complex environments, verified through experiments.
Contribution
It presents a novel fractional-order calculus-based data fusion model for real-time automobile status evaluation, addressing measurement errors and environmental complexities.
Findings
The method effectively improves data quality for status evaluation.
Experimental results confirm the model's feasibility and accuracy.
The approach enhances automobile safety and operational reliability.
Abstract
Automobiles have become the main means of transportation for human beings, and their failures in the process of operation are directly related to the life and property safety of drivers. Therefore, real-time operational status evaluation technology have become urgent problems in the current academic world. The premise of real-time operational status evaluation technology of automobiles is to obtain high-quality information data in real time, but the automobile operating environment is complex and changeable, resulting in the measured information data under the influence of multiple factors, such as equipment performance and signal interference. There is an unpredictable measurement error, which greatly affects the reliability of operational status evaluation systems. In this paper, on the basis of studying the structure and operation characteristics of automobiles, we design a method…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsE-commerce and Technology Innovations · Advanced Sensor and Control Systems · AI and Big Data Applications
