Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12725/11451
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Upadhyay,Ashish | - |
dc.contributor.advisor | Shahdadpuri, Suresh | - |
dc.contributor.author | Khan, Mehreen | - |
dc.date.accessioned | 2020-11-04T10:24:30Z | - |
dc.date.available | 2020-11-04T10:24:30Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12725/11451 | - |
dc.title | Automated detection and recognition of highway road marking with computer vision and deep learning | - |
dc.barcode | 022654 | - |
dc.pages | xliv,46p. | - |
dc.classno | MG TH-0195 KHA | - |
Appears in Collections: | Thesis (Faculty of Technology_PG) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
MG TH-0195.pdf Restricted Access | 2.91 MB | Adobe PDF | Request a copy | |
MG TH-0195 Summary.pdf | 381.05 kB | Adobe PDF | Preview PDF |
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