====== Preferences of Traffic Signs Detection =====

This page describes only the parameters and preferences of Automated Traffic Signs Detection. \\
Full documentation about concept, workflow and sidebar, see [[1910:desktop_ext:automated_feature_extraction|]].
General concepts of Detectors Preferences, see [[1910:desktop:preferences:detectors|]].


==== Basic Parameters ====
{{  :1910:desktop:preferences:preferences_traffic_signs_detection_parameters.png|}}
  * **Sign Points Min**: The minimum number of high reflective points per sign.

  * **Width Min**: Minimum for a traffic sign.

  * **Proximity Distance**: Proximity distance to define points to be from the same traffic sign. 

==== Advanced Parameters ====
{{  :1910:desktop:preferences:preferences_traffic_signs_detection.png?nolink|}}
==== Algoritm ====
  * **Trajectory section**: The size of sections to scan the trajectory with.  

  * **Adapt Reflectivity checkbox**: Use an adaptive reflectivity threshold to detect signs, based on the reflectivity of their surroundings. 

  * **Reflectivity Min**: Minimum reflectivity threshold to detect signs with.

  * **Reflectivity Null**: Minimum reflectivity to assume. Reflectivities below this value are not considered in the detection. 
  
  * **Max High Reflectivity Pts Count**: Number of points to define the maximal reflectivity in a set of points.

  * **Cluster Points Min**: The minimum amount of points in the cluster to be considered in further processing.

  * **Horizontal Slice Z size**: Z size of a horizontal slice to analyze the candidate.

  * **Thickness Max**: The maximum thickness of a traffic Sign. 

  * **Height Min**: Minimal height of a traffic sign. 

  * **Neighborhood Dist**: Maximum XY distance around a candidate to evaluate traffic sign. 

  * **Tolerance Angle**: The maximum inclination that is allowed for a traffic sign (calculated from perfectly vertical).

  * **Detect Sign Shape**: Should the shape of the sign be in the detected features? 

  * **Reposition Step**: The repositioning step to identify the shape. 

  * **Match Percent Min**: The minimal match percentage for both feature points inside shape and shape unit cells.\\

==== Output ====

  * **Get pointcloud selection**: Get a selection file with the points that belong to the feature.

  * **Get pointcloud selection merged**: Get a selection file with the detected features. 

  * **Get feature Images**: Should get images of the feature? 

  * **Images Count**: The Number of images that should be selected of each detected feature. 

  * **Print Images**: Should images be printed?