Bump Detection Computer Vision Project
Updated 19 days ago
Here are a few use cases for this project:
-
Autonomous Driving: This model can be utilized in self-driving car technology to provide efficient navigation. The system can detect bumps, humps and potholes on the road ahead, allowing the vehicle to anticipate and adjust its path or speed before reaching such obstacles.
-
Road Maintenance: Municipal corporations and government bodies can use this system to identify regions with degraded roadways. This can help improve road maintenance efficiency by allowing rapid and accurate detection of potholes that need to be repaired.
-
Augmentation for GPS and Navigation Apps: Navigation apps like Google Maps and Waze can use this model to offer more detailed and safer route recommendations. For instance, a route may be marked as less preferable if it contains numerous detected bumps or potholes.
-
Driving Safety Applications: The model can be integrated with driving safety apps to send real-time alerts to drivers for upcoming bumps or potholes, helping to prevent possible accidents.
-
Fleet Management: For companies that manage a fleet of vehicles, using this model can help monitor road conditions. It can prevent damages and breakdowns caused by such road obstacles, saving on maintenance and repair costs.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
bump-detection-py9vs_dataset,
title = { Bump Detection Dataset },
type = { Open Source Dataset },
author = { fyp },
howpublished = { \url{ https://universe.roboflow.com/fyp-4dooc/bump-detection-py9vs } },
url = { https://universe.roboflow.com/fyp-4dooc/bump-detection-py9vs },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-11-29 },
}