Vehicle Localization in IoV Environments: A Vision-LSTM Approach with Synthetic Data Simulation

Vehicle Localization in IoV Environments: A Vision-LSTM Approach with Synthetic Data Simulation

With the rapid development of the Internet of Vehicles (IoV) and autonomous driving technologies, robust and accurate visual pose perception has become critical for enabling smart connected vehicles. Traditional deep learning-based localization methods face persistent challenges in real-world vehicu...

Full description

Saved in:
Bibliographic Details
Main Authors: Yi Liu, Jiade Jiang, Zijian Tian
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Vehicles
Subjects:
IoV
3D model
Vision-LSTM
virtual image
active visual position perception
Online Access:https://www.mdpi.com/2624-8921/7/1/12
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2624-8921/7/1/12

Similar Items