Multivariate time series prediction of lane changing behavior using deep neural network
Author:
Funder
Ford Motor Company
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/article/10.1007/s10489-018-1163-9/fulltext.html
Reference36 articles.
1. Kumar P, Perrollaz M, Lefevre S et al. (2013) Learning-based approach for online lane change intention prediction. In: Intelligent vehicles symposium. IEEE, pp 797–802
2. Morris B, Doshi A, Trivedi M (2011) Lane change intent prediction for driver assistance: on-road design and evaluation. In: Intelligent vehicles symposium. IEEE, pp 895–901
3. Bevly D et al. (2016) Lane change and merge maneuvers for connected and automated vehicles: a survey. IEEE Trans Intell Veh 1(1):105–120
4. Kim I H, Bong J H, Park J et al. (2017) Prediction of drivers intention of lane change by augmenting sensor information using machine learning techniques. Sensors 17(6):1350
5. Butakov V A, Ioannou P (2015) Personalized driver/vehicle lane change models for ADAS. IEEE Trans Veh Technol 64(10):4422–4431
Cited by 62 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An efficient driving behavior prediction approach using physiological auxiliary and adaptive LSTM;Machine Vision and Applications;2024-08-14
2. RESNET34 with Synchrosqueezing Transform for ADHD Disorder Detection Using EEG Signals;Fluctuation and Noise Letters;2024-06-10
3. Vehicle Trajectory Prediction Using Deep Learning for Advanced Driver Assistance Systems and Autonomous Vehicles;2024 IEEE International Systems Conference (SysCon);2024-04-15
4. LLT: An R package for linear law-based feature space transformation;SoftwareX;2024-02
5. A unified modeling framework for lane change intention recognition and vehicle status prediction;Physica A: Statistical Mechanics and its Applications;2023-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3