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RoadDetection Computer Vision Project

Blue Halo

Updated a year ago

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Instance Segmentation Model

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Description

Here are a few use cases for this project:

  1. Autonomous Vehicle Navigation: This RoadDetection model could be utilized in autonomous vehicles helping them to correctly recognize and navigate roads ensuring safe and efficient travel. Keywords: autonomous vehicles, car navigation, self-driving, safety, transportation.

  2. Virtual Reality Applications: The model could be used for creating realistic VR environments by detecting and classifying different types of roads, allowing for enhanced immersive experiences. Keywords: virtual reality, simulation, gaming, VR environment, immersive experience.

  3. Infrastructure Planning and Development: Urban planners and civil engineers could take advantage of this model to plan for road repairs, expansions or new road constructions. This automatic detection of roads can provide a comprehensive view of the city's infrastructure. Keywords: urban planning, civil engineering, infrastructure development, road construction, city planning.

  4. Traffic Management Systems: The model could be used in intelligent traffic management systems to monitor the condition of roads and to identify any unreported incidents or unexpected situations. Keywords: Traffic management, road monitoring, public safety, incident detection, traffic control.

  5. Drone Navigation: In aerial photography or delivery by drones, the model can be used to recognize roads and identify safe and appropriate landing or travel paths to follow avoiding obstacles. Keywords: drone navigation, aerial photography, drone delivery, path planning, obstacle avoidance.

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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{
                            roaddetection-qenbs_dataset,
                            title = { RoadDetection Dataset },
                            type = { Open Source Dataset },
                            author = { Blue Halo },
                            howpublished = { \url{ https://universe.roboflow.com/blue-halo/roaddetection-qenbs } },
                            url = { https://universe.roboflow.com/blue-halo/roaddetection-qenbs },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-12-22 },
                            }

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