VisionArch: Difference between revisions
(New page: == The Object Detection's view == The Object Detection has to find all relevant information from the images taken from the world viewer. Relevant is where we are in relation to the track,...) |
No edit summary |
||
| Line 1: | Line 1: | ||
== The Object Detection's view == | == The Object Detection's view == | ||
The Object Detection has to find all relevant information from the images taken from the world viewer. | The Object Detection has to find all relevant information from the images taken from the world viewer. Relevant is where we are in relation to the track, the opponents, the obstacles and what additional information we have to know (traffic signs, crossings etc.). Also we need estimations about properties of the surface (asphalt, sand, grass etc.). To make it easier to find the objects it has to use feedback from the next step, the Object Tracking. (See [[Details_And_Proposals_For_Object_Detection|Details and proposals for object detection]]) | ||
Relevant is where we are in relation to the track, the opponents, the obstacles and what additional information we have to know (traffic signs, crossings etc.). | |||
Also we need estimations about properties of the surface (asphalt, sand, grass etc.). | |||
To make it easier to find the objects it has to use feedback from the next step, the Object Tracking. | |||
== View of the Object Tracking == | == View of the Object Tracking == | ||
It is to help the Object Detection to find known objects in the next time step faster. | It is to help the Object Detection to find known objects in the next time step faster. Here we will have the possibility to use information of our driver about the steering, acceleration, braking since the last (vision) timestep. So we can setup the detection with estimations of our translation and rotation relative to the last images. Also we have to decide, whether our car will get additional information from other sensors (compass, GPS, radar, parking distance sensors etc.). | ||
Here we will have the possibility to use information of our driver about the steering, acceleration, braking since the last (vision) timestep. | |||
So we can setup the detection with estimations of our translation and rotation relative to the last images. | |||
Also we have to decide, whether our car will get additional information from other sensors (compass, GPS, radar, parking distance sensors etc.). | |||
Revision as of 06:07, 6 July 2008
The Object Detection's view
The Object Detection has to find all relevant information from the images taken from the world viewer. Relevant is where we are in relation to the track, the opponents, the obstacles and what additional information we have to know (traffic signs, crossings etc.). Also we need estimations about properties of the surface (asphalt, sand, grass etc.). To make it easier to find the objects it has to use feedback from the next step, the Object Tracking. (See Details and proposals for object detection)
View of the Object Tracking
It is to help the Object Detection to find known objects in the next time step faster. Here we will have the possibility to use information of our driver about the steering, acceleration, braking since the last (vision) timestep. So we can setup the detection with estimations of our translation and rotation relative to the last images. Also we have to decide, whether our car will get additional information from other sensors (compass, GPS, radar, parking distance sensors etc.).
