# US 2026/0062002 A1 · Relevancy determination systems and methods for traffic signs > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0062002 A1 - Document ID: US20260062002A1 - Status: Published application - Kind: A1 - Application number: 19/310,228 - Filed: 2025-08-26 - Published: 2026-03-05 - Earliest claimed: 2024-08-27 - Assignees: Mobileye Vision Technologies Ltd. - Applicants: Mobileye Vision Technologies Ltd. - Inventors: Yuval HOCHMAN; Ron PELED; Nitsan DAVIDOVICH - Web page: https://patentgrep.com/patent/US20260062002A1 ## CPC - B60W 30/146: {Speed limiting} - B60W 10/04: including control of propulsion units - B60W 10/18: including control of braking systems - B60W 10/20: including control of steering systems - G01C 21/3602: {Input other than that of destination using image analysis, e.g. detection of road signs, lanes, buildings, real preceding vehicles using a camera} - G01C 21/3815: {Road data} - G06V 10/82: using neural networks - G06V 20/582: {of traffic signs} - G06V 20/588: {Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road} - B60W 2420/403: Image sensing, e.g. optical camera - B60W 2552/10: Number of lanes - B60W 2552/53: Road markings, e.g. lane marker or crosswalk - B60W 2554/20: Static objects - B60W 2555/60: Traffic rules, e.g. speed limits or right of way - B60W 2556/40: High definition maps - B60W 2710/18: Braking system - B60W 2710/20: Steering systems - B60W 2720/106: Longitudinal acceleration - 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 - G01C: MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY (measuring liquid level G01F; radio navigation, determining distance or velocity by use of propagation effects, e.g. Doppler effects, propagation time, of radio waves, analogous arrangements using other waves G01S) - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract Systems and methods for navigating a host vehicle are disclosed. In one implementation, a system includes a processor configured to receive at least one image captured by a front view camera of the host vehicle; analyze the at least one image to detect a representation of a traffic sign in an environment of the host vehicle; determine a relevancy of the traffic sign to the host vehicle, wherein the relevancy of the traffic sign to the host vehicle is determined based on a trajectory of the host vehicle relative to a location of the traffic sign; and cause the host vehicle to implement at least one navigational action based on the relevancy of the traffic sign to the host vehicle. ## Claims ### Claim 1 A system for navigating a host vehicle, the system comprising: at least one processor comprising circuitry and a memory, wherein the memory includes instructions that when executed by the circuitry cause the at least one processor to: receive at least one image captured by a front view camera of the host vehicle; analyze the at least one image to detect a representation of a traffic sign in an environment of the host vehicle; determine a relevancy of the traffic sign to the host vehicle, wherein the relevancy of the traffic sign to the host vehicle is determined based on a trajectory of the host vehicle relative to a location of the traffic sign; and cause the host vehicle to implement at least one navigational action based on the relevancy of the traffic sign to the host vehicle. ### Claim 2 (depends on 1) The system of claim 1, wherein the trajectory of the host vehicle traverses at least one road segment, and wherein a first portion of the at least one road segment is prior to a front side of the traffic sign and a second portion of the at least one road segment is after a back side of the traffic sign. ### Claim 3 (depends on 2) The system of claim 2, wherein the host vehicle travels the first portion of the at least one road segment prior to travelling the second portion of the at least one road segment. ### Claim 4 (depends on 2) The system of claim 2, wherein determining the relevancy of the traffic sign to the host vehicle occurs while the host vehicle is navigating in the environment. ### Claim 5 (depends on 1) The system of claim 1, wherein the relevancy of the traffic sign to the host vehicle is further determined based on at least one lane marking in the environment of the host vehicle. ### Claim 6 (depends on 1) The system of claim 1, wherein the relevancy of the traffic sign to the host vehicle is further determined based on at least one road edge in the environment of the host vehicle. ### Claim 7 (depends on 1) The system of claim 1, wherein the relevancy of the traffic sign to the host vehicle is further determined based on analyzing a top view image, wherein the top view image includes a first indicator of the trajectory of the host vehicle and a second indicator of the location of the traffic sign. ### Claim 8 (depends on 7) The system of claim 7, wherein the top view image is generated based on analyzing a plurality of images captured by the front view camera of the host vehicle. ### Claim 9 (depends on 7) The system of claim 7, wherein the memory further includes instructions that when executed by the circuitry cause the at least one processor to provide the top view image to a trained system, and wherein the trained system is configured to determine the relevancy of the traffic sign to the host vehicle. ### Claim 10 (depends on 9) The system of claim 9, wherein the trained system includes a neural network. ### Claim 11 (depends on 7) The system of claim 7, wherein the top view image further includes an indicator of at least one lane of a road segment in the environment of the host vehicle. ### Claim 12 (depends on 7) The system of claim 7, wherein the top view image further includes an indicator of at least one road edge of a road segment in the environment of the host vehicle. ### Claim 13 (depends on 7) The system of claim 7, wherein the top view image is associated with information indicating a facing direction of the traffic sign. ### Claim 14 (depends on 7) The system of claim 7, wherein the top view image further includes an indicator of the traffic sign at an origin of a coordinate system associated with the top view image. ### Claim 15 (depends on 1) The system of claim 1, wherein the traffic sign is a speed limit sign. ### Claim 16 (depends on 15) The system of claim 15, wherein the memory further includes instructions that when executed by the circuitry cause the at least one processor to determine a speed limit associated with the speed limit sign. ### Claim 17 (depends on 16) The system of claim 16, wherein the speed limit associated with the speed limit sign is determined by analyzing the at least one image. ### Claim 18 (depends on 16) The system of claim 16, wherein the memory further includes instructions that when executed by the circuitry cause the at least one processor to determine the at least one navigational action based on the speed limit. ### Claim 19 (depends on 1) The system of claim 1, wherein the traffic sign is determined to not be relevant to the host vehicle. ### Claim 20 (depends on 19) The system of claim 19, wherein the traffic sign is determined to not be relevant to the host vehicle after the host vehicle passes the traffic sign by a predetermined distance. ### Claim 21 (depends on 19) The system of claim 19, wherein the traffic sign is a speed limit sign. ### Claim 22 (depends on 21) The system of claim 21, wherein the memory further includes instructions that when executed by the circuitry cause the at least one processor to determine a speed limit associated with the speed limit sign. ### Claim 23 (depends on 22) The system of claim 22, wherein the memory further includes instructions that when executed by the circuitry cause the at least one processor to determine a different speed limit for the host vehicle. ### Claim 24 (depends on 1) The system of claim 1, wherein the memory further includes instructions that when executed by the circuitry cause the at least one processor to transmit an indicator of the relevancy of the traffic sign from the host vehicle to a server. ### Claim 25 (depends on 24) The system of claim 24, wherein the server is configured to store the indicator in a navigational map. ### Claim 26 (depends on 25) The system of claim 25, wherein indicator is stored in association with a drivable path. ### Claim 27 (depends on 1) The system of claim 1, wherein the at least one navigational action includes braking, steering, or accelerating the host vehicle. ### Claim 28 A system for navigating a host vehicle, the system comprising: at least one processor comprising circuitry and a memory, wherein the memory includes instructions that when executed by the circuitry cause the at least one processor to: receive at least one image captured by a front view camera of the host vehicle; analyze the at least one image to detect a representation of a speed limit sign in an environment of the host vehicle; determine a first speed limit associated with the speed limit sign; determine a relevancy of the speed limit sign to the host vehicle, wherein the relevancy of the speed limit sign to the host vehicle is determined based on a trajectory of the host vehicle relative to a location of the speed limit sign, wherein the speed limit sign is determined to not be relevant to the host vehicle after the host vehicle passes the speed limit sign by a predetermined distance; after determining the speed limit sign is not relevant to the host vehicle, determine a second speed limit for the host vehicle, wherein the second speed limit is different from the first speed limit; and cause the host vehicle to implement at least one navigational action based on the second speed limit. ### Claim 29 (depends on 28) The system of claim 28, wherein the first speed limit associated with the speed limit sign is determined by analyzing the at least one image. ### Claim 30 A system for navigating a host vehicle, the system comprising: at least one processor comprising circuitry and a memory, wherein the memory includes instructions that when executed by the circuitry cause the at least one processor to: receive at least one image captured by a front view camera of the host vehicle; analyze the at least one image to detect a representation of a traffic sign in an environment of the host vehicle, wherein the representation of the traffic sign is at least partially occluded by an object; determine a relevancy of the traffic sign to the host vehicle, wherein the relevancy of the traffic sign to the host vehicle is determined based on a trajectory of the host vehicle relative to a location of the traffic sign; and cause the host vehicle to implement at least one navigational action based on the relevancy of the traffic sign to the host vehicle. ### Claim 31 (depends on 30) The system of claim 30, wherein the object includes a tree. ### Claim 32 (depends on 30) The system of claim 30, wherein the object includes a parked vehicle. ### Claim 33 A system for navigating a host vehicle, the system comprising: at least one processor comprising circuitry and a memory, wherein the memory includes instructions that when executed by the circuitry cause the at least one processor to: receive at least one image captured by a front view camera of the host vehicle; analyze the at least one image to detect a representation of a traffic sign in an environment of the host vehicle; generate a top view image based on analyzing a plurality of images captured by the front view camera of the host vehicle; provide the top view image to a trained system configured to determine a relevancy of the traffic sign to the host vehicle based on a trajectory of the host vehicle relative to a location of the traffic sign, wherein the trained system is further configured to output an indicator of the relevancy of the traffic sign to the host vehicle based on analysis of the top view image; receive, from the trained system, the indicator of the relevancy of the traffic sign to the host vehicle; and cause the host vehicle to implement at least one navigational action based on the indicator of the relevancy of the traffic sign to the host vehicle. ### Claim 34 (depends on 33) The system of claim 33, wherein the top view image includes a first indicator of the trajectory of the host vehicle and a second indicator of the location of the traffic sign. ### Claim 35 (depends on 34) The system of claim 34, wherein the top view image further includes an indicator of at least one lane of a road segment in the environment of the host vehicle. ### Claim 36 (depends on 34) The system of claim 34, wherein the top view image further includes an indicator of at least one road edge of a road segment in the environment of the host vehicle. ### Claim 37 (depends on 34) The system of claim 34, wherein the top view image is associated with information indicating a facing direction of the traffic sign. ### Claim 38 (depends on 34) The system of claim 34, wherein the top view image further includes an indicator of the traffic sign at an origin of a coordinate system associated with the top view image. ### Claim 39 (depends on 34) The system of claim 34, wherein the trajectory of the host vehicle includes at least one road segment, and wherein a first portion of the at least road segment is prior to a front side of the traffic sign and a second portion of the at least one road segment is after a back side of the traffic sign. ### Claim 40 (depends on 39) The system of claim 39, wherein the host vehicle travels the first portion of the at least one road segment prior to traveling the second portion of the at least one road segment. ### Claim 41 (depends on 33) The system of claim 33, wherein the traffic sign is a speed limit sign. ### Claim 42 (depends on 41) The system of claim 41, wherein the memory further includes instructions that when executed by the circuitry cause the at least one processor to determine a speed limit associated with the speed limit sign. ### Claim 43 (depends on 42) The system of claim 42, wherein the speed limit associated with the speed limit sign is determined by analyzing the at least one image. ### Claim 44 (depends on 42) The system of claim 42, wherein the memory further includes instructions that when executed by the circuitry cause the at least one processor to determine the at least navigational action based on the speed limit. ### Claim 45 (depends on 33) The system of claim 33, wherein the trained system includes a neural network. ### Claim 46 (depends on 33) The system of claim 33, wherein the memory further includes instructions that when executed by the circuitry cause the at least one processor to transmit an indicator of the relevancy of the traffic sign to the host vehicle to a server. ### Claim 47 (depends on 46) The system of claim 46, wherein the server is configured to store the indicator in a navigational map. ### Claim 48 (depends on 47) The system of claim 47, wherein the indicator is stored in association with a drivable path. ### Claim 49 (depends on 33) The system of claim 33, wherein the at least one navigational action includes braking, steering, or accelerating the host vehicle.