Q. Liu, Nicolas Saunier and Guillaume-Alexandre Bilodeau
Paper (2024)
This item is not archived in PolyPublie| Additional Information: | TRBAM-24-01372 |
|---|---|
| Department: |
Department of Civil, Geological and Mining Engineering Department of Computer Engineering and Software Engineering |
| PolyPublie URL: | https://publications.polymtl.ca/73193/ |
| Conference Title: | 103rd Transportation Research Board Annual Meeting |
| Conference Location: | Washington, DC, USA |
| Conference Date(s): | 2024-01-07 - 2024-01-11 |
| Publisher: | Transportation Research Board |
| Date Deposited: | 12 Feb 2026 16:16 |
| Last Modified: | 12 Feb 2026 16:16 |
| Cite in APA 7: | Liu, Q., Saunier, N., & Bilodeau, G.-A. (2024, January). How Good Are Deep Learning Methods for Automated Road Safety Analysis Using Video Data? An Experimental Study [Paper]. 103rd Transportation Research Board Annual Meeting, Washington, DC, USA. |
|---|---|
Statistics
Stats are not available on this system.
