The invention discloses a vehicle
distance measurement and calibration method based on
laser radar and
binocular vision fusion, relates to the technical field of measurement and calibration, and is used for solving the problem that the precision of a vehicle distance
calibration result is reduced when a
laser radar used for calibrating a highway vehicle distance snapshot
system is under the conditions of rain,
snow, wet and slippery or waterlogging road surfaces. Joint modeling is carried out on
spatial distribution and echo energy characteristics of
laser radar low-height
point cloud, a
point cloud echo coefficient and a low-height number proportion are introduced, a
specular reflection state code is constructed, a self-calibration mechanism is adaptively triggered accordingly, and a
specular reflection state is obtained. The discrete characteristic of a laser radar vehicle distance
time sequence and the degradation trend of
binocular vision parallax connectivity are subjected to quantitative analysis, the dominant source of
ranging abnormity is judged through symbolic analysis, and an
offset calibration or fusion correction strategy is selected according to the dominant source. Reliability and
engineering adaptability of vehicle
distance measurement under the wet and slippery
road surface condition can be improved under the condition of not depending on an additional sensor.