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Treating Noise and Anomalies in Vehicle Trajectories From an Experiment With a Swarm of Drones

  • Published:2023-09 Issue:9 Volume:24 Page:9055-9067
  • ISSN:1524-9050
  • Container-title:IEEE Transactions on Intelligent Transportation Systems
  • language:
  • Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Mahajan Vishal1ORCID,Barmpounakis Emmanouil2ORCID,Alam Md. Rakibul1,Geroliminis Nikolas2ORCID,Antoniou Constantinos1ORCID

Affiliation:

1. Chair of Transportation Systems Engineering, TUM School of Engineering and Design, Technical University of Munich, Munich, Germany

2. Urban Transport Systems Laboratory (LUTS), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 5 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. A Deep Learning Framework to Explore Influences of Data Noises on Lane-Changing Intention Prediction;IEEE Transactions on Intelligent Transportation Systems;2024-07

2. Risks of Drone Use in Light of Literature Studies;Sensors;2024-02-13

3. Vehicle Trajectory Reconstruction Using Lagrange-Interpolation-Based Framework;Applied Sciences;2024-01-30

4. Machine Learning for UAV-Aided ITS: A Review With Comparative Study;IEEE Transactions on Intelligent Transportation Systems;2024

5. Unmanned aerial vehicle service network design for urban monitoring;Transportation Research Part C: Emerging Technologies;2023-12
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