Abstract:
A method for state of health estimation and misalignment correction in a vehicle lane management system. Two lane sensing systems onboard a vehicle provide lane information to a lane management system, where one of the lane sensing systems may be a dedicated forward-viewing lane sensing system, and the other may use images from a surround-view camera system. The lane information is stored in a fixed-length, moving-window circular data buffer. A correlation coefficient is recursively computed from the lane information from the two lane sensing systems and used to calculate a state of health of the lane management system. A linear regression relationship is also computed between the data from the two lane sensing systems, and the scale factor and offset value are applied to the lane information from the second lane sensing system before a fusion calculation is performed on the lane information from the two lane sensing systems.
Abstract:
A method for state of health estimation and misalignment correction in a vehicle lane management system. Two lane sensing systems onboard a vehicle provide lane information to a lane management system, where one of the lane sensing systems may be a dedicated forward-viewing lane sensing system, and the other may use images from a surround-view camera system. The lane information is stored in a fixed-length, moving-window circular data buffer. A correlation coefficient is recursively computed from the lane information from the two lane sensing systems and used to calculate a state of health of the lane management system. A linear regression relationship is also computed between the data from the two lane sensing systems, and the scale factor and offset value are applied to the lane information from the second lane sensing system before a fusion calculation is performed on the lane information from the two lane sensing systems.