Timeframe:
Spring 2020 – Present
Students:
Homayra Alam
Faculty in Collaboration:
Dr. Bill Stapleton, Dr. Sasha Dong
Overview:
The project provides a framework that utilizes Deep Learning and Computer Vision for debris recognition to optimize the debris removal process from vehicle accidents on highways and roads. The development of a DL model for debris object recognition caused by vehicle accidents is used to find the debris perimeter area using GPS information from drone fly-over.
Stages
Phase 1:
1. Collecting Data
2. Literature Review
3. Proposal has been presented
4. Initial experimentation
Publications:
- Working towards it
Thesis:
- Working towards it
