CityPersonsAndCars Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Traffic Management: This model can be used in traffic management systems to analyze real-time traffic flow. By identifying pedestrians and different types of vehicles including cars and buses, authorities can manage traffic more effectively, design better road systems or implement more appropriate traffic rules.
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Autonomous Vehicles: It can be used in the field of autonomous driving. The model can assist in understanding and responding to the surrounding environment by identifying other cars, pedestrians, and buses, contributing to safer and more efficient autonomous vehicle operation.
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Pedestrian Safety: The model can be incorporated into smart city surveillance systems to monitor pedestrian's safety in real-time by detecting the proximity between pedestrians and vehicles. Alerts could be initiated if a pedestrian's safety is compromised.
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Urban Planning: City planners and urban developers can use the data produced by this model to better understand how people and vehicles interact in different urban environments. This information can be used to make decisions on the placement of crosswalks, bus stops, and other traffic signs.
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Insurance Investigation: The model could be used by insurance companies to investigate traffic incidents. Through identifying the types and number of vehicles including pedestrians involved, companies can more accurately assess the events leading to the accident.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
citypersonsandcars_dataset,
title = { CityPersonsAndCars Dataset },
type = { Open Source Dataset },
author = { 3377543@gmail.com },
howpublished = { \url{ https://universe.roboflow.com/3377543-gmail-com/citypersonsandcars } },
url = { https://universe.roboflow.com/3377543-gmail-com/citypersonsandcars },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { may },
note = { visited on 2024-11-05 },
}