# US 12,179,761 B2 · Vehicle and method of calibrating surrounding image therefor > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,179,761 B2 - Document ID: US12179761B2 - Status: Granted - Kind: B2 - Application number: 17/410,303 - Filed: 2021-08-24 - Published: 2022-03-24 - Granted: 2024-12-31 - Earliest claimed: 2020-09-18 - Assignees: Hyundai Motor Company; Kia Corporation - Applicants: Hyundai Motor Company; Kia Corporation - Inventors: Young Seok Jeon - Web page: https://patentgrep.com/patent/US12179761B2 ## CPC - B60W 30/162: {Speed limiting therefor} - B60W 30/12: Lane keeping - B60W 30/14: {Adaptive} cruise control - G06V 20/56: exterior to a vehicle by using sensors mounted on the vehicle - G06V 20/58: Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads - G06V 20/588: {Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road} - B60W 2050/0088: {Adaptive recalibration} - B60W 2420/403: Image sensing, e.g. optical camera - B60W 2520/10: Longitudinal speed - B60W 2552/15: Road slope, i.e. the inclination of a road segment in the longitudinal direction - B60W 2555/20: Ambient conditions, e.g. wind or rain - B60W 2556/45: External transmission of data to or from the vehicle - B60W 2556/50: of positioning data, e.g. GPS [Global Positioning System] data - B60W: CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract A vehicular surrounding image calibration method may include determining whether driving lane and vehicle speed control functions are activated, upon determining that the driving lane and vehicle speed control functions are activated, determining a satisfied or dissatisfied state of each of a road condition and an external environmental condition based on a connected car service (CCS), and upon determining that the external environmental condition and the road condition are satisfied, performing automatic calibration of a surround view monitor (SVM) function. ## Claims ### Claim 1 A vehicular surrounding image calibration method comprising: receiving, by a surround view monitor (SVM) controller, a signal indicating a driving state suitable for calibration condition from an advanced driver assistance system (ADAS) controller; acquiring, by the SVM controller, luminance information and weather information through a connected car service (CCS); acquiring, by the SVM controller, road attributes and a vehicle speed from an audio video navigation (AVN) terminal; performing, by the SVM controller, an automatic calibration of a surround view monitor (SVM) function or a server-based calibration of the SVM function based on a calibration value stored in a CCS server according to the acquired information; and controlling, by the SVM controller, a vehicle based on the automatic calibration of the SVM function or the server-based calibration of the SVM function. ### Claim 2 (depends on 1) The vehicular surrounding image calibration method of claim 1, further including: comparing, by the SVM controller, a quality of current top-view image of the SVM function and a predetermined reference quality. ### Claim 3 (depends on 1) The vehicular surrounding image calibration method of claim 1, wherein the road attributes includes a condition of a road grade, an existence of construction section in a driving road, and a condition of a curvature of a predetermined section ahead in the driving road. ### Claim 4 (depends on 1) The vehicular surrounding image calibration method of claim 1, wherein the driving state includes at least one of a smart cruise control (SCC) function, a lane following assist (LFA) or lane keeping assist (LKA) function. ### Claim 5 (depends on 1) The vehicular surrounding image calibration method of claim 1, further including: comparing, by the SVM controller, a quality of a first top-view image obtained using a first calibration value by the automatic calibration with a quality of a second top-view image obtained using a previously applied second calibration value; and applying, by the SVM controller, the first calibration value, which is used for obtaining the first top-view image. ### Claim 6 (depends on 5) The vehicular surrounding image calibration method of claim 5, further including: transmitting, by the SVM controller, the first calibration value to an external server. ### Claim 7 (depends on 6) The vehicular surrounding image calibration method of claim 6, wherein the transmitting the first calibration value to the external server includes: transmitting, by the SVM controller, at least one of information on a location at which the automatic calibration is performed or information on the quality of the first top-view image to the external server. ### Claim 8 (depends on 1) A non-transitory computer-readable recoding medium storing a program configured to perform the vehicular surrounding image calibration method of claim 1. ### Claim 9 A vehicle comprising: a first controller configured to provide a control function for lane keeping and maintaining vehicle speed of the vehicle; a second controller configured to provide a communication function for a connected car service (CCS) and a navigation function; and a third controller electrically connected to the first controller and the second controller and configured to receive a signal indicating a driving state suitable for calibration condition from the first controller, acquire luminance information and weather information from the second controller, acquire road attributes and a vehicle speed from the second controller, perform automatic calibration of a surround view monitor (SVM) function, or a server-based calibration of the SVM function based on a calibration value stored in a CCS server according to the acquired information, and control the vehicle based on the automatic calibration of the SVM function or the server-based calibration of the SVM function. ### Claim 10 (depends on 9) The vehicle of claim 9, wherein the road attributes include a condition of a road grade, an existence of a construction section in a driving road, and a condition of a curvature of a predetermined section ahead in the driving road. ### Claim 11 (depends on 9) The vehicle of claim 9, wherein the driving state includes at least one of a smart cruise control (SCC) function, a lane following assist (LFA) or lane keeping assist (LKA) function. ### Claim 12 (depends on 9) The vehicle of claim 9, wherein the third controller is configured to compare a quality of a first top-view image obtained using a first calibration value by the automatic calibration with a quality of a second top-view image obtained using a previously applied second calibration value, and configured to apply the first calibration value, which is used for obtaining the first top-view image. ### Claim 13 (depends on 12) The vehicle of claim 12, wherein the second controller transmits the first calibration value to an external server. ### Claim 14 (depends on 13) The vehicle of claim 13, wherein the second controller transmits at least one of information on a location at which the automatic calibration is performed or information on the quality of the first top-view image to the external server together with the first calibration value.