Testing Predictive Automated Driving Systems: Lessons Learned and Future Recommendations
Author:
Affiliation:
1. Computer Engineering Department, University of Alcalá, Alcalá de Henares, Madrid, Spain
Funder
Community of Madrid
Spanish Ministry of Science and Innovation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/5117645/9945673/09780387.pdf?arnumber=9780387
Reference45 articles.
1. Trajectory prediction of cyclists using a physical model and an artificial neural network
2. CAPformer: Pedestrian Crossing Action Prediction Using Transformer
3. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Medical Image Computing and Computer-Assisted Intervention (MICCAI 2015),2015
4. Vehicle Trajectory Prediction in Crowded Highway Scenarios Using Bird Eye View Representations and CNNs
5. Experimental validation of lane-change intention prediction methodologies based on CNN and LSTM
Cited by 7 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. Behavioural Gap Assessment of Human-Vehicle Interaction in Real and Virtual Reality-Based Scenarios in Autonomous Driving;International Journal of Human–Computer Interaction;2024-08-08
2. Towards explainable motion prediction using heterogeneous graph representations;Transportation Research Part C: Emerging Technologies;2023-12
3. Data Augmentation for Pedestrians in Corner Case: A Pose Distribution Control Approach;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24
4. Human-Vehicle Interaction for Autonomous Vehicles in Crosswalk Scenarios: Field Experiments with Pedestrians and Passengers;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24
5. Digital twin in virtual reality for human-vehicle interactions in the context of autonomous driving;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24
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