This paper describes procedures for obtaining a reliable and dense opt
ical how from image sequences taken by a television (TV) camera mounte
d on a car moving in usual outdoor scenarios, The optical flow can be
computed from these image sequences by using several techniques, Diffe
rential techniques to compute the optical flow do not provide adequate
results, because of a poor texture in images and the presence of shoc
ks and vibrations experienced by the TV camera during image acquisitio
n, By using correlation based techniques and by correcting the optical
Bows for shocks and vibrations, useful sequences of optical flows can
be obtained, When the car is moving along a flat road and the optical
axis of the TV camera is parallel to the ground, the motion field is
expected to be almost quadratic and have a specific structure, lis a c
onsequence the egomotion can be estimated from this optical Bow and in
formation on the speed and the angular velocity of the moving vehicle
are obtained, By analyzing the optical Bow it is possible to recover a
lso a coarse segmentation of the how, in which objects moving with a d
ifferent speed are identified, By combining information from intensity
edges a better localization of motion boundaries are obtained, These
results suggest that the optical flow can be successfully used by a vi
sion system for assisting a driver in a vehicle moving in usual street
s and motorways.