Data Collection and Processing System for Autonomous Vehicles

dc.contributor.authorMalik Muneeb Ahmed , Aakasha Zahid , Mahwish Aura
dc.contributor.authorSP17-BCS-153 , SP17-BCS-106 , SP17-BCS-094
dc.contributor.authorDr. Hasan Jamal
dc.contributor.authorLHR TP 7174
dc.date.accessioned2026-02-24T06:26:32Z
dc.date.issued2021
dc.description.abstractDataset serves as key in developing any real-time application. This project proposes to develop a dataset for autonomous vehicles traveling in urban areas of Pakistan. We have achieved the aim of developing a dataset that considers all the traffic and infrastructure conditions of a country like Pakistan. The dataset is developed from real-world traffic experience. The data is collected using different videos. We have recorded the videos while driving the vehicle and the collected data is used to develop a reliable dataset that can be used to train autonomous vehicles for traffic conditions of Pakistan. Our target was to collect data parameters that can be used for object detection and we have successfully achieved it. Therefore, the dataset will help create smart vehicles. It will surely help the drivers and will reduce traffic accidents and other hazards. We have created an interface to help users pass their own videos and get an automatic generated dataset for those videos.
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/2126
dc.language.isoen
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus
dc.relation.ispartofseriesLHR TP 7174
dc.subjectTECHNOLOGY::Information technology::Computer science
dc.subjectDr. Hasan Jamal
dc.titleData Collection and Processing System for Autonomous Vehicles
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
CS12-Data Collection and Processing System for Autonomous Vehicles.pdf
Size:
944.58 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
319 B
Format:
Item-specific license agreed to upon submission
Description: