|
|
Mitigation of Visibility Loss for Driver Assistance Systems |
|
|
|
| In adverse weather conditions, in particular in
daylight fog, the contrast of images grabbed by in-vehicle cameras
in the visible light range is drastically degraded, which makes
the current driver assistances relying on cameras very sensitive
to weather conditions. An onboard vision system should take
weather effects into account. The effects of daylight fog vary
across the scene and are exponential with respect to the depth
of scene points. Because it is not possible in this context to
compute the road scene structure beforehand contrary to fixed
camera surveillance, a new scheme is proposed. Fog density is
first estimated and then used to restore the contrast using a
flat world assumption on the segmented free space in front of
the moving vehicle. A scene structure is estimated and used to
refine the restoration process. Results are presented using sample
road scenes under foggy weather and assessed by computing the
visibility level enhancement gained by the method. Finally, we
show applications to the enhancement in daylight fog of low level
algorithms used in advanced camera based driver assistances. |
|
Publications- Hautière, N., Tarel, J.-P. and Aubert, D. Mitigation of Visibility Loss for Advanced Camera based Driver Assistances. In IEEE Transactions on Intelligent Transportation Systems, 11 (2): 474-484, 2010.
 
|
|
| Related topics
|
|