— pit "M Srey LY ow
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va dd ped MM
et (Vr
ISPRS Commission III, Vol.34, Part 3A , Photogrammetric Computer Vision“, Graz, 2002
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Vehicle
trajectory tra a.
Figure 6. Testing site — Roppongi Campus of the Univ. of
Tokyo
Vehicle direction
ini
ght
"A
LD-A
Figure 7. Occlusions are reduced by using three LD-As
C3
Figure 10. Final results (road surfaces under the measurement vehicle are interpolated)
A - 417
#Center
#Right
Road surface [CJ window area
M Vertical surface Tree and others
M Other surface [1 Unknown Objects Bl No data
Figure 8. Range Images of three LD-As
Range points penetrating
; ee Cleaned!
window glasses
Cleaned!
ok s e em A
ction in classification procedure
Figure 9. Range corre