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author | lonkaars <loek@pipeframe.xyz> | 2023-05-22 11:52:30 +0200 |
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committer | lonkaars <loek@pipeframe.xyz> | 2023-05-22 11:52:30 +0200 |
commit | 73d5c5e0528466c10e3219334466a3edfbd53266 (patch) | |
tree | 7f849d55bb09877e1ce8c375fd5cec6fe479cad1 /doc/dui.md | |
parent | fbc5ae8b3bb4ca7987bddf1ecdad17a4f08958f9 (diff) |
finish merge of #4
Diffstat (limited to 'doc/dui.md')
-rw-r--r-- | doc/dui.md | 5 |
1 files changed, 2 insertions, 3 deletions
@@ -71,8 +71,7 @@ description in section \ref{problem-statement}. ## Overview -![Architecture overview (level 0) -\label{fig:architecture-level-0}](../assets/architecture-level-0.pdf) +![Architecture overview (level 0)](../assets/architecture-level-0.pdf){#fig:architecture-level-0} Figure \ref{fig:architecture-level-0} shows the hardware used in this project. Both the Pololu Zumo 32U4 (referred to as just "Zumo"), and the Arduino Nicla @@ -494,7 +493,7 @@ Most shape based recognition methods are more complex than using a color based d ## Traffic Sign Recognition (TSR) After traffic sign detection or tracking, traffic sign recognition is performed to classify the detected traffic signs into correct classes. -![signs example](../assets/signs.png) +![signs example](../assets/signs.png){#fig:signs-example} ### Binary tree The binary-tree-based classification method usually classify traffic signs according to the shapes and colors in a coarse-to-fine tree process. |