# US 2025/0083591 A1 · Apparatus and method for controlling intelligent lamp > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0083591 A1 - Document ID: US20250083591A1 - Status: Published application - Kind: A1 - Application number: 18/958,003 - Filed: 2024-11-25 - Published: 2025-03-13 - Earliest claimed: 2021-11-29 - Assignees: Hyundai Mobis Co., Ltd. - Applicants: Hyundai Mobis Co., Ltd. - Inventors: Jun Young SUNG - Web page: https://patentgrep.com/patent/US20250083591A1 ## CPC - B60Q 1/143: {combined with another condition, e.g. using vehicle recognition from camera images or activation of wipers} - B60Q 1/076: by electrical means {including means to transmit the movements, e.g. shafts or joints} - B60Q 1/08: automatically - F21S 41/141: Light emitting diodes [LED] - F21S 41/663: by switching light sources (by switching incandescent light sources F21S41/162) - G06T 7/11: Region-based segmentation - G06T 7/70: Determining position or orientation of objects or cameras (camera calibration G06T7/80) - G06V 10/26: Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion - 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 20/584: {of vehicle lights or traffic lights} - B60Q 2300/056: Special anti-blinding beams, e.g. a standard beam is chopped or moved in order not to blind - B60Q 2300/41: preceding vehicle - B60Q 2300/42: oncoming vehicle - G06T 2207/20021: Dividing image into blocks, subimages or windows - G06T 2207/30252: Vehicle exterior; Vicinity of vehicle - G06V 2201/08: Detecting or categorising vehicles - B60Q: ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL - F21S: NON-PORTABLE LIGHTING DEVICES; SYSTEMS THEREOF; VEHICLE LIGHTING DEVICES SPECIALLY ADAPTED FOR VEHICLE EXTERIORS - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract Disclosed are an apparatus and a method for controlling an intelligent lamp. The apparatus includes a camera that photographs an image of a front control area, a pattern analysis device that checks a target location for a control area of the camera, logs data for each segment corresponding to the target location, and analyzes a light-on/off frequency pattern, and a controller that adjusts a margin width of an anti-glare area for a preceding vehicle by calculating a light-on/off frequency corresponding to a location of the front vehicle based on the light-on/off frequency pattern when the front vehicle is detected. ## Claims ### Claim 1 An apparatus for controlling an intelligent lamp, comprising: a camera configured to capture an image in front of a vehicle; a pattern analysis device configured to analyze a light-on/off frequency pattern based on the image; and a controller configured to, when a preceding vehicle is detected, adjust a margin width of an anti-glare area with respect to the preceding vehicle by calculating a light-on/off frequency corresponding to a location of the preceding vehicle based on the light-on/off frequency pattern. ### Claim 2 (depends on 1) The apparatus of claim 1, wherein the controller is configured to determine a degree of subdivision of a control area of the camera by dividing a field of view (FOV) of the camera into a number of segments. ### Claim 3 (depends on 2) The apparatus of claim 2, wherein the controller is configured to divide the control area into a plurality of virtual matrix control sections corresponding to the degree of subdivision, and recognize each of the divided virtual matrix control sections as one of the segments. ### Claim 4 (depends on 3) The apparatus of claim 3, wherein the controller is configured to obtain target location information for each of the virtual matrix control sections; and wherein the pattern analysis device is configured to check a target location for the control area, log data for each segment corresponding to the target location, and analyze the light-on/off frequency pattern. ### Claim 5 (depends on 4) The apparatus of claim 4, wherein the pattern analysis device is configured to: recognize a number of times an LED of a headlamp is turned on and then turned off for each segment as one cycle; and determine the number of times the LED is turned on and off within a specified time. ### Claim 6 (depends on 1) The apparatus of claim 1, wherein the light-on/off frequency pattern varies corresponding to a driving environment and a location of the vehicle. ### Claim 7 (depends on 4) The apparatus of claim 4, wherein the controller is configured to: calculate a light-on/off frequency for each segment corresponding to the location of the preceding vehicle; and adjust the margin width of the anti-glare area for the preceding vehicle based on a sum of the light-on/off frequencies for each segment. ### Claim 8 (depends on 7) The apparatus of claim 7, wherein the controller is configured to adjust the margin width of the anti-glare area for the preceding vehicle to be wider as the sum of the light-on/off frequencies for each segment increases. ### Claim 9 (depends on 8) The apparatus of claim 8, wherein the controller is configured to adjust the margin width of the anti-glare area for the front vehicle to be wider when the preceding vehicle is located closer to the vehicle than when the preceding vehicle is located farther away from the vehicle. ### Claim 10 (depends on 8) The apparatus of claim 8, wherein the controller is configured to adjust the margin width of the anti-glare area for the preceding vehicle to be wider when the preceding vehicle travels on a curved road than when the preceding vehicle travels on a straight road. ### Claim 11 (depends on 1) The apparatus of claim 1, further comprising a data collection device configured to collect driving environment information of a road on which the vehicle travels. ### Claim 12 A method of controlling an intelligent lamp, the method comprising: analyzing a light-on/off frequency pattern based on an image in front of a vehicle captured by a camera; and adjusting a margin width of an anti-glare area for a preceding vehicle by calculating a light-on/off frequency corresponding to a location of the preceding vehicle based on the light-on/off frequency pattern when the preceding vehicle is detected. ### Claim 13 (depends on 12) The method of claim 12, further comprising determining a degree of subdivision of a control area of the camera by dividing a field of view (FOV) of the camera into a number of segments before analyzing the light-on/off frequency pattern. ### Claim 14 (depends on 13) The method of claim 13, wherein determining the degree of subdivision of the control area includes dividing the control area into a plurality of virtual matrix control sections corresponding to the degree of subdivision. ### Claim 15 (depends on 14) The method of claim 14, further comprising obtaining target location information for each of the virtual matrix control sections through the camera; and wherein analyzing the light-on/off frequency pattern includes: checking a target location for the control area in front of the vehicle; logging data for each segment corresponding to the target location; and analyzing the light-on/off frequency pattern based on the data. ### Claim 16 (depends on 15) The method of claim 15, wherein analyzing the light-on/off frequency pattern includes: recognizing a number of times an LED of a headlamp is turned on and then turned off for each segment as one cycle; and determining the number of times the LED is turned on and off within a specified time. ### Claim 17 (depends on 15) The method of claim 15, wherein adjusting the margin width of the anti-glare area includes: calculating the light-on/off frequency for each segment corresponding to the location of the preceding vehicle; and adjusting the margin width of the anti-glare area for the preceding vehicle based on a sum of light-on/off frequencies for each segment. ### Claim 18 (depends on 17) The method of claim 17, wherein adjusting the margin width of the anti-glare area includes adjusting the margin width of the anti-glare area for the preceding vehicle to be wider as the sum of the light-on/off frequencies for each segment increases. ### Claim 19 (depends on 18) The method of claim 18, wherein adjusting the margin width of the anti-glare area includes adjusting the margin width of the anti-glare area for the preceding vehicle to be wider when the preceding vehicle is located closer to the vehicle than when the preceding vehicle is located farther away from the vehicle. ### Claim 20 (depends on 18) The method of claim 18, wherein the adjusting of the margin width of the anti-glare area includes adjusting the margin width of the anti-glare area for the preceding vehicle to be wider when the preceding vehicle travels on a curved road than when the front vehicle travels on a straight road.