university of Moratuwa

FYP-5

Object Detection

FYP-5 Computer Vision Project

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Images

1383 images
Explore Dataset

Here are a few use cases for this project:

  1. Off-Road Navigation Systems: FYP-5 could be used to enhance the safety and reliability of off-road autonomous navigation systems. These systems could utilize the model to identify common obstacles in the environment and adjust their path accordingly to avoid collisions.

  2. Advanced Driver-Assistance Systems (ADAS): This model could help in augmenting ADAS to provide improved off-road driving safety. It can identify obstacles such as potholes, stones, and other hurdles, offering real-time alerts to drivers for their caution which will prevent accidents.

  3. Outdoor Robot Navigation: In hilly or remote areas, robots could use FYP-5 to navigate safely by identifying and avoiding obstacles commonly present in off-road environments.

  4. Augmented Reality (AR) Gaming: AR games could use the model to include real-world obstacles in the game environment. For instance, in a racing game, obstacles identified in the real world like trees or potholes could be included as barriers in the game.

  5. Road Maintenance and Monitoring: Government or urban management agencies could use data from FYP-5 to identify road damages such as potholes or broken milestones, which need repairing or servicing, making road maintenance tasks much more efficient.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            fyp-5_dataset,
                            title = { FYP-5 Dataset },
                            type = { Open Source Dataset },
                            author = { university of Moratuwa },
                            howpublished = { \url{ https://universe.roboflow.com/university-of-moratuwa-kdzps/fyp-5 } },
                            url = { https://universe.roboflow.com/university-of-moratuwa-kdzps/fyp-5 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-02-26 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the FYP-5 project in your project.

Last Updated

a year ago

Project Type

Object Detection

Subject

Off-road-obstacles

Classes

bicycle building dog electricity post milestone motorbike name board person post box pothole road lamp sign board stone stone pillar three wheeler tree vehicle

Views: 11

Views in previous 30 days: 6

Downloads: 0

Downloads in previous 30 days: 0

License

MIT

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