traffic light detection Computer Vision Project

Bachelor Thesis

Updated a year ago

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Description

Here are a few use cases for this project:

  1. Autonomous Vehicle Navigation: The model could be used in self-driving vehicles to detect traffic lights and interpret their meaning, aiding in navigation and improving traffic safety.

  2. Traffic Monitoring Systems: The model can be deployed as part of a real-time traffic monitoring system, tracking traffic light changes and forecasting potential traffic issues or inefficiencies.

  3. Visual Aid for Visually Impaired: The model can be used in mobile or wearable applications to help visually impaired individuals safely navigate city streets by audibly alerting them when the traffic light changes.

  4. Augmented Reality Gaming: In AR based games, the model might be used to recognize traffic light statuses, featuring the real-world scenario into the augmented universes for a more immersive experience.

  5. Traffic Study and Research: Researchers studying traffic patterns could deploy the model as part of their data collection tools, providing insights into how efficiently different intersections operate based on timing and sequence of traffic lights.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            traffic-light-detection-2ltgt_dataset,
                            title = { traffic light detection Dataset },
                            type = { Open Source Dataset },
                            author = { Bachelor Thesis },
                            howpublished = { \url{ https://universe.roboflow.com/bachelor-thesis-sru9q/traffic-light-detection-2ltgt } },
                            url = { https://universe.roboflow.com/bachelor-thesis-sru9q/traffic-light-detection-2ltgt },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-11-21 },
                            }