Full text: Close-range imaging, long-range vision

  
2.3 Available material 
Before the room was closed, a small set of photos (less than 10) 
was taken. The subject of these photos is restricted to a small set 
of elements. They do not cover all the room and cannot be used 
to guess an accurate geometry of the scene (see Figure 1). 
    
Figure 1. Image of the room before closing. 
A video of the room was also realised. It provides more 
information than the photos, but some parts of the room were 
not covered. Moreover, the image quality is quite poor and no 
information is available on the camera. 
Existing plans provide an estimate of the room geometry but are 
doubtful on several points. They do not represent the as-built 
state of the room. From the video, we know that many elements 
are missing: pipes, filters, some tanks, etc. Drawings of the 
electro-valves are also available but with no scale factor. 
All this material (photo, video and plans) was combined a few 
years ago, to build a 3D model of the room with an on-the-shelf 
CAD modelling software (3Dstudio). According to the elements 
used, this model gathers the collected information about most 
parts and room topology but it is not geometrically reliable, and 
cannot be used straight for an intervention in the room. 
2.4 Special requirements on the model 
The expected model should fulfil mission specific requirements. 
For instance, one of the first tasks of the decommissioning work 
is to drill a hole in the ceiling above one of the tanks to latter 
check the content and empty this tank using robotics means. An 
obstacle-free space to reach the tank and the corresponding 
position where to drill the ceiling should be determined from the 
acquired model. 
3. EQUIPMENT SELECTED 
3.1 Camera 
In order to build a 3D model, we decided to drive a sensor in the 
room. We chose video as a good compromise between the 
amount of information provided and the limited cost of the 
solution. CCD sensor was acceptable since we had to work for a 
limited amount of time. Indeed the chosen sensor worked for 
several months with no major problem. 
We chose a small size 17mm diameter endoscopic camera. In 
order to reduce exposure to radiations and to limit heat brought 
into the room, the electronics of the camera was deported off the 
room. A 768 x 576 pixels resolution was retained for cost and 
size considerations. 
3.2 Lighting 
As the room was completely dark, we needed to bring some 
light. We did not want to use low light level camera for 
problems of cost and because of the bigger size of these kinds of 
sensors. For reasons of safety, we had to avoid bring heat inside 
the room. We chose fibre optic light instead. Several optic fibres 
were set around the camera lens to provide an even lighting. 
The diameter of the set camera and optic fibre ring is less than 
25mm (Figure 2). 
  
Figure 2. Camera and optic fibre lighting ring 
We made several tries in a dark room with a high reflectivity 
stainless steel parts to make sure of this solution. 
3.3 Lens 
We paid a special care on lens choice. We had these constraints: 
e We wanted to have a very good knowledge of focal 
lens and chose a fix focal length 
e We wanted images with minimum distortions and 
therefore had rather use long focal length. 
e We needed to see 1-meter wide objects 1.5 meters 
away from the camera. 
As a compromise between these constraints, we chose a 7.5 mm 
lens for our % inch CCD camera. 
3.4 Carrier 
To carry the camera, a 3 degrees-of-freedom articulated mast 
was built. The joints (Z translation, pitch and yaw) were 
equipped with sensors to ensure a 1 mm measurement accuracy 
of the position of the camera (see Figure 3). 
The range of the joints were the following: 
e  Zaxis: 1500 mm 
e Pitch: 360 degrees 
e Yaw: 150 degrees 
  
Figure 3. Carrier with camera and ring lighting 
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