Rare traffic sign detection with synthetic images and multiple classifiers
Detecting rare traffic signs is important for various applications such as autonomous driving, creation of city maps, and road maintenance, as they can provide useful information regarding the surroundings to aid driving decision-making. In this project, we demonstrate that we can train neural netwo...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2020
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/136942 |