E-Scooter Rider detection and classification in dense urban environments-Reference-Cited by-同舟云学术

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E-Scooter Rider detection and classification in dense urban environments

Published:2022-12 Issue: Volume:16 Page:100677
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Gilroy Shane^ORCID,Mullins Darragh,Jones Edward,Parsi Ashkan,Glavin Martin

Publisher

Elsevier BV

Subject

General Engineering

Reference42 articles.

1. S. international, Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles, SAE.

2. Small electric vehicles—benefits and drawbacks for sustainable urban development;Ewert;Small Electr. Veh.,2021

3. Usage of e-scooters in urban environments;Hardt;Transport. Res. Procedia,2019

Cited by 10 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. Lightweight object detection in low light: Pixel-wise depth refinement and TensorRT optimization;Results in Engineering;2024-09

2. Comparison of E-Scooter and Bike Users’ Behavior in Mixed Traffic;Transportation Research Record: Journal of the Transportation Research Board;2024-07-30

3. Detection and positioning of vulnerable road users in vehicular networks;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

4. Numerical analysis of injuries of e-scooter riders in frontal impacts against SUVs;Results in Engineering;2024-03

5. Wireless Access for V2X Communications: Research, Challenges and Opportunities;IEEE Communications Surveys & Tutorials;2024

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