Comparison of three algorithms for real-time pedestrian state estimation - supporting a monitoring dashboard for large-scale events
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7784515/7795515/07795974.pdf?arnumber=7795974
Cited by 6 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. Bicycle Data-Driven Application Framework: A Dutch Case Study on Machine Learning-Based Bicycle Delay Estimation at Signalized Intersections Using Nationwide Sparse GPS Data;Sensors;2023-12-07
2. Data Assimilation for Agent-Based Models;Mathematics;2023-10-15
3. Pedestrian analysis for crowd monitoring: the Milan case study (Italy);2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS);2023-06-14
4. Enhancing Crowd Monitoring System Functionality through Data Fusion: Estimating Flow Rate from Wi-Fi Traces and Automated Counting System Data;Sensors;2020-10-23
5. PedPIV: Pedestrian Velocity Extraction From Particle Image Velocimetry;IEEE Transactions on Intelligent Transportation Systems;2020-02
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