Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1208| Title: | A Review on Deep Learning and Nondeep Learning Approach for Lane Detection System | Authors: | Muril, Muhammad Jefri Abdul Aziz, Nor Hidayati Ab Ghani, Hadhrami Ab Aziz, Nor Azlina |
Keywords: | Lane detection;Cameras-Meteorology;Roads-Feature extraction;Classification algorithms-Transforms | Issue Date: | 2020 | Publisher: | IEEE | Conference: | 2020 IEEE 8th Conference on Systems, Process and Control (ICSPC) | Abstract: | Lane detection is one of the essential elements in road safety analysis. With the enhancement of technologies nowadays, the number of road accidents can be reduced by implementing a few preventive actions, one of it is by using a lane detection system. The authors review the recent deep learning and non-deep learning approach for lane detection system. |
Description: | Others |
URI: | http://hdl.handle.net/123456789/1208 | DOI: | 10.1109/ICSPC50992.2020.9305788 |
| Appears in Collections: | Faculty of Bioengineering and Technology - Proceedings |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| A review on deep learning and non deep learning approach for lane detection system.pdf | 268.17 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.