DEVICE, METHOD, AND SYSTEM FOR CONTROLING ROAD CURVATURE OF VEHICLE
Disclosed is a vehicle road curvature control device and a method therefor, which correct the road curvature of a vehicle before a yaw rate value is stabilized, when the vehicle enters or leaves a curved road. The present disclosure provides a vision system for a vehicle, which includes: an image sensor disposed at the vehicle so as to have a field of view exterior of the vehicle, the image sensor configured to capture image data; and a controller comprising at least one processor configured to process the image data captured by the image sensor, wherein the controller is configured to: identify a plurality of objects present in the field of view, responsive at least in part to processing of the image data; identify a yaw rate value of the vehicle; calculate a road curvature of an object in front of the vehicle and a road curvature of an object behind the vehicle, based on the plurality of objects; determine a driving state of the vehicle based on the road curvatures of the objects in front of and behind the vehicle or the yaw rate value of the vehicle; and use the road curvature of the object in front of the vehicle as the road curvature of the vehicle until the yaw rate value is stabilized when the driving state of the vehicle is in the state of entering a curved road or in the state of leaving a curved road.
1 . A vision system for a vehicle, the vision system comprising:
an image sensor disposed at the vehicle so as to have a field of view exterior of the vehicle, the image sensor configured to capture image data; and
a controller comprising at least one processor configured to process the image data captured by the image sensor,
wherein the controller is configured to:
identify a plurality of objects present in the field of view, responsive at least in part to processing of the image data;
identify a yaw rate value of the vehicle;
calculate a road curvature of an object in front of the vehicle and a road curvature of an object behind the vehicle, based on the plurality of objects;
determine a driving state of the vehicle based on the road curvatures of the objects in front of and behind the vehicle or the yaw rate value of the vehicle; and
use the road curvature of the object in front of the vehicle as the road curvature of the vehicle until the yaw rate value is stabilized when the driving state of the vehicle is in the state of entering a curved road or in the state of leaving a curved road.
2 . The vision system of claim 1 , wherein the controller is further configured to identify position information of the vehicle, detect position information of the plurality of objects, and calculate the road curvature of the object in front of the vehicle and the road curvature of the object behind the vehicle based on position information of an object existing within a predetermined distance from the position of the vehicle.
3 . The vision system of claim 1 , wherein the controller is further configured to determine that the driving state of the vehicle is in the state of entering a curved road when the road curvature of the object in front of the vehicle is greater than the road curvature of the object behind the vehicle or when the yaw rate value of the vehicle at a predetermined time section ahead is less than or equal to a predetermined first threshold value.
4 . The vision system of claim 1 , wherein the controller is further configured to determine the driving state of the vehicle is in the state of leaving a curved road when the road curvature of the object behind the vehicle is greater than the road curvature of the object in front of the vehicle or when the yaw rate value of the vehicle at a predetermined time section ahead exceeds a predetermined first threshold value.
5 . The vision system of claim 1 , wherein a point in time at which the yaw rate value is stabilized indicates a point in time at which a yaw rate variation of the vehicle per hour is less than or equal to a predetermined second threshold value.
6 . The vision system of claim 1 , wherein the controller is further configured to identify a driving speed of the vehicle, and
a point in time at which the yaw rate value is stabilized indicates a point in time at which a driving road curvature of the vehicle calculated based on the driving speed and the yaw rate value of the vehicle is identical to the road curvature of the object in front of the vehicle.
7 . A method of controlling a road curvature of a vehicle, the method comprising:
a vehicle driving information identification operation that identifies a yaw rate value of a vehicle, and detects a plurality of objects existing before and behind the vehicle using an image sensor which is disposed at the vehicle so as to have a field of view exterior the vehicle and is configured to capture image data;
a road curvature calculation operation that calculates a road curvature of an object in front of the vehicle and a road curvature of an object behind the vehicle, based on the plurality of objects;
a driving state determination operation that determines a driving state of the vehicle based on the road curvatures of the objects in front of and behind the vehicle or the yaw rate value of the vehicle; and
a road curvature determination operation that uses the road curvature of the object in front of the vehicle as the road curvature of the vehicle until the yaw rate value is stabilized when the driving state of the vehicle is in the state of entering a curved road or in the state of leaving a curved road.
8 . The method of claim 7 , wherein the vehicle driving information identification operation additionally identifies position information of the vehicle and detects position information of the plurality of objects, and
the road curvature calculation operation calculates the road curvature of the object in front of the vehicle and the road curvature of the object behind the vehicle based on position information of an object existing within a predetermined distance from the position of the vehicle.
9 . The method of claim 7 , wherein the driving state determination operation determines the driving state of the vehicle is in the state of entering a curved road when the road curvature of the object in front of the vehicle is greater than the road curvature of the object behind the vehicle or when the yaw rate value of the vehicle at a predetermined time section ahead is less than or equal to a predetermined first threshold value.
10 . The method of claim 7 , wherein the driving state determination operation determines that the driving state of the vehicle is in the state of leaving a curved road when the road curvature of the object behind the vehicle is greater than the road curvature of the object in front of the vehicle or when the yaw rate value of the vehicle at a predetermined time section ahead exceeds a predetermined first threshold value.
11 . The method of claim 7 , wherein a point in time at which the yaw rate value is stabilized indicates a point in time at which a yaw rate variation of the vehicle per hour is less than or equal to a predetermined second threshold value.
12 . The method of claim 7 , wherein the vehicle driving information identification operation additionally identifies a driving speed of the vehicle, and
the point in time at which the yaw rate value is stabilized indicates a point in time at which a driving road curvature of the vehicle calculated based on the yaw rate value of the vehicle and the driving speed is identical to the road curvature of the object in front of the vehicle.
13 . A sensor system for a vehicle, the sensor system comprising:
an image sensor disposed at the vehicle so as to have a field of view exterior of the vehicle, the image sensor configured to capture image data;
a non-image sensor selected from a group consisting of a radar sensor and a lidar sensor, and disposed at the vehicle so as to have a field of sensing exterior of the vehicle, the non-image sensor configured to capture sensing data; and
a controller comprising at least one processor configured to process the image data captured by the image sensor and the sensing data captured by the non-image sensor,
wherein the controller is configured to:
identify a plurality of objects present in the field of view, responsive at least in part to processing by the at least one processor of the image data and the sensing data;
identify a yaw rate value of a vehicle;
calculate a road curvature of an object in front of the vehicle and a road curvature of an object behind the vehicle, based on the plurality of objects;
determine a driving state of the vehicle based on the road curvatures of the objects in front of and behind the vehicle or the yaw rate value of the vehicle; and
use the road curvature of the object in front of the vehicle as the road curvature of the vehicle until the yaw rate value is stabilized when the driving state of the vehicle is in the state of entering a curved road or in the state of leaving a curved road.
14 . The sensor system of claim 13 , wherein the controller is further configured to identify position information of the vehicle, detect position information of the plurality of objects, and calculate the road curvature of the object in front of the vehicle and the road curvature of the object behind the vehicle based on position information of an object existing within a predetermined distance from the position of the vehicle.
15 . The sensor system of claim 13 , wherein the controller is further configured to determine that the driving state of the vehicle is in the state of entering a curved road when the road curvature of the object in front of the vehicle is greater than the road curvature of the object behind the vehicle or when the yaw rate value of the vehicle at a predetermined time section ahead is less than or equal to a predetermined first threshold value.
16 . The sensor system of claim 13 , wherein the controller is further configured to determine the driving state of the vehicle is in the state of leaving a curved road when the road curvature of the object behind the vehicle is greater than the road curvature of the object in front of the vehicle or when the yaw rate value of the vehicle at a predetermined time section ahead exceeds a predetermined first threshold value.
17 . The sensor system of claim 13 , wherein a point in time at which the yaw rate value is stabilized indicates a point in time at which a yaw rate variation of the vehicle per hour is less than or equal to a predetermined second threshold value.
18 . The sensor system of claim 13 , wherein the controller is further configured to identify a driving speed of the vehicle, and
a point in time at which the yaw rate value is stabilized indicates a point in time at which a driving road curvature of the vehicle calculated based on the driving speed and the yaw rate value of the vehicle is identical to the road curvature of the object in front of the vehicle.