A Novel Method for the Driver Lane-Changing Intention Recognition
Author:
Affiliation:
1. School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China
2. Key Laboratory of Transportation Industry of Automotive Transportation Safety Enhancement Technology, Chang’an University, Xi’an, China
Funder
Fundamental Research Funds for the Key Laboratory of Transportation Industry of Automotive Transportation Safety Enhancement Technology
Shandong Provincial Natural Science Foundation
Shandong Provincial Program of Introducing and Cultivating Talents of Discipline to Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10235271/10198495.pdf?arnumber=10198495
Reference40 articles.
1. Intention recognition and trajectory prediction for vehicles using LSTM network;ji;China J Highway Transport,2019
2. A Bayesian correlated grouped random parameters duration model with heterogeneity in the means for understanding braking behaviour in a connected environment
3. Traffic vehicles intention recognition method driven by data and mechanism hybrid;jian;Automot Eng,2022
4. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
5. Research on behavior recognition algorithm of surrounding vehicles for driverless car;cai;Automot Eng,2020
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1. Improved time series models for the prediction of lane-change intention;Transportation Letters;2024-07-22
2. A method based on Vision Transformer and multiple image information for vehicle lane-changing recognition in mixed traffic and connected environment;Transportation Letters;2024-07-16
3. STA-Net: A Spatial–Temporal Joint Attention Network for Driver Maneuver Recognition, Based on In-Cabin and Driving Scene Monitoring;Applied Sciences;2024-03-14
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