Impact-injury predicting system

An impact-injury predicting system, comprising:

• an image sensor detecting a human in front of a vehicle in a front-rear direction of the vehicle, wherein the image sensor detects a position of a head of the human, a relative speed of the head relative to the vehicle in a left-right direction of the vehicle, and a relative speed of the head relative to the vehicle in a perpendicular direction perpendicular to the front-rear direction and the left-right direction;
• a distance sensor detecting a relative speed and a relative distance of the human, who is detected by the image sensor, relative to the vehicle in the front-rear direction;
• a first-collision predicting part determining if a possibility of a first collision, which happens between the human and the vehicle, is higher than a predetermined threshold based on a detection result of the image sensor and a detection result of the distance sensor;
• a first-collision-situation determining part determining a position of the head and a relative speed of the head relative to the vehicle at a time of the first collision based on the detection result of the image sensor and the detection result of the distance sensor, when the first-collision predicting part determines the possibility of the first collision is higher than the predetermined threshold;
• a second-collision-situation estimating part estimating a collision situation of the head in a second collision, based on a determining result of the first-collision-situation determining part;
• and
• an injury-degree predicting part predicting a degree of injury of the head based on an estimation result of the second-collision-situation estimating part.