# US 12,600,381 B2 · Vehicle operation modification based on weather sensing sensors > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,600,381 B2 - Document ID: US12600381B2 - Status: Granted - Kind: B2 - Application number: 18/767,711 - Filed: 2024-07-09 - Published: 2026-01-15 - Granted: 2026-04-14 - Earliest claimed: 2024-07-09 - Applicants: Scott C Harris; Benjamin J Kwitek - Inventors: Scott C Harris; Benjamin J Kwitek - Web page: https://patentgrep.com/patent/US12600381B2 ## CPC - B60W 60/0015: {specially adapted for safety} - B60W 2420/403: Image sensing, e.g. optical camera - B60W 2420/54: Audio sensitive means, e.g. ultrasound - B60W 2554/80: Spatial relation or speed relative to objects - B60W 2555/20: Ambient conditions, e.g. wind or rain - B60W 2555/60: Traffic rules, e.g. speed limits or right of way - 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 ## Abstract A autonomous driving vehicle and system. Vehicle sensors, including cameras and microphones, detecting conditions around the vehicle and producing signals indicative of the conditions around the vehicle that are detected that represent the way that liquid in the environment is reacting to the vehicle. A computer drives the vehicle. The computer receives information from the sensors about a current way in which liquid in the environment interacts with parts of the vehicle, under current roadway conditions and compares that to information in a database to determine a dangerous roadway condition. ## Claims ### Claim 1 An autonomous driving vehicle system comprising: plural vehicle sensors, detecting conditions around a vehicle and producing signals indicative of the conditions around the vehicle that are detected; a computer, operating for automated driving operation of the vehicle, using the signals from the plural vehicle sensors, the computer driving the vehicle according to rules, including at least rules for default amounts of maximum speed on a specific part of a road, follow distance to another vehicle and stopping distance of the vehicle; the computer receiving information from the plural vehicle sensors about a current way in which liquid in an environment interacts with parts of the vehicle, under a current roadway condition; a memory, storing information about ways in which liquid in the environment interacts with the parts of the vehicle under specified roadway conditions which were found in the past to be dangerous as a database in the memory; the computer comparing the information from the plural vehicle sensors against the information in the database, where the parts of the vehicle include at least tires of the vehicle, and where the information from the plural vehicle sensors includes at least images of the tires of the vehicle, the computer analyzing said images to check for specified items of motion of water droplets in the images; the computer analyzing including at least following a motion of droplets of water coming off the tires, and testing a speed and a trajectory of the droplets of water droplets coming off the tires, where the memory stores a model of what the water droplets look like when coming off different vehicle tires in different roadway conditions, and the computer comparing the motion of the water droplets, including the speed and trajectory of the water droplets coming off the tires, against the model of what water droplets look like when coming off different vehicle tires in the different roadway conditions to determine the current roadway condition; and the computer determining a dangerous road condition as the current roadway condition from the comparing, and upon determining the dangerous road condition, operating to operate the vehicle in a less aggressive automated driving, including at least all of reducing a speed of the vehicle on the specific part of the road, increasing a follow distance to another vehicle and increasing a stopping distance of the vehicle. ### Claim 2 (depends on 1) The autonomous driving vehicle system as in claim 1, wherein the plural vehicle sensors include at least a camera, the information from the plural vehicle sensors includes the images, and the images are compared with the information in the database to determine the dangerous road condition. ### Claim 3 (depends on 2) The autonomous driving vehicle system as in claim 2, wherein the parts of the vehicle include a windshield, and the system compares images of water coming off the windshield with the information in the database. ### Claim 4 (depends on 1) The autonomous driving vehicle system as in claim 1, wherein the plural vehicle sensors include at least sound detection sensors, the information from the plural vehicle sensors includes sounds of liquid in the environment interacting with at least one of the parts of the vehicle, and the sounds are compared with the information in the database by comparing an amplitude of the sounds at different frequencies of the sound against the information in the database to find a most similar frequency distribution of the sounds of liquid in the environment to determine the dangerous road condition. ### Claim 5 (depends on 1) The autonomous driving vehicle system as in claim 1, wherein the plural vehicle sensors include at least sound detection sensors, the information from the plural vehicle sensors includes sounds of liquid in the environment interacting with at least one of the parts of the vehicle, and the sounds are compared with sound information in the database to determine the dangerous road condition, wherein the sounds of liquid include sounds of windshield wipers on the vehicle interacting with the liquid in the environment. ### Claim 6 (depends on 1) The autonomous driving vehicle system as in claim 1, wherein the system detects information from water in the environment interacting with multiple different part of the vehicle, and compares the way the water reacts with one of the multiple different parts, with a way that the water reacts with another of the multiple different parts, and compares that to the information in the database, to determine the dangerous road condition and to operate in the less aggressive automated driving. ### Claim 7 (depends on 6) The autonomous driving vehicle system as in claim 6, wherein the system detects a difference between a way the water comes off a windshield of the vehicle and a way the water comes off the tires of the vehicle to detect the dangerous road condition and to operate in the less aggressive automated driving. ### Claim 8 (depends on 1) The autonomous driving vehicle system as in claim 1, wherein the rules also include a speed for turning operations, and the less aggressive automated driving reduces the speed for turning operations. ### Claim 9 A method of autonomously driving a vehicle comprising: using plural vehicle sensors, detecting conditions around the vehicle and producing signals indicative of the conditions around the vehicle that are detected; using a computer, for automated driving operation of the vehicle, using the signals from the plural vehicle sensors, the computer driving the vehicle according to rules, including at least rules for default amounts of maximum speed on a specific part of a road, follow distance to another vehicle and stopping distance of the vehicle; using the computer for receiving information from the plural vehicle sensors about a current way in which liquid in an environment interacts with parts of the vehicle, under a current roadway condition; storing information about ways in which liquid in the environment interacts with the parts of the vehicle under specified roadway conditions which were found in the past to be dangerous, the storing being as a database in a memory; using the computer for comparing the information from the plural vehicle sensors against the information in the database; where the parts of the vehicle include at least tires of the vehicle, and where the information from the plural vehicle sensors includes at least images of the tires of the vehicle, using the computer for analyzing said images to check for specified items of motion of water droplets in the images; the using the computer for analyzing including at least following a motion of droplets of water coming off the tires, and testing a speed and a trajectory of the water droplets coming off the tires, where the memory stores a model of what the water droplets look like when coming off different vehicle tires in different roadway conditions, using the computer for comparing the motion of the water droplets, including the speed and trajectory of the water droplets coming off the tires, against the model of what water droplets look like when coming off the different vehicle tires in the different roadway conditions to determine the current roadway condition; and using the computer for determining a dangerous road condition as the current roadway condition from the comparing, and upon determining the dangerous road condition, operating to operate the vehicle in a less aggressive automated driving, including at least all of reducing a speed of the vehicle on the specific part of the road, increasing a follow distance to another vehicle and increasing a stopping distance of the vehicle. ### Claim 10 (depends on 9) The method as in claim 9, wherein the plural vehicle sensors include at least a camera, the information from the plural vehicle sensors includes the images, and the images are compared with information in the database to determine the dangerous road condition. ### Claim 11 (depends on 10) The method as in claim 10, wherein the parts of the vehicle include a windshield, and the method compares images of liquid coming off the windshield with the information in the database. ### Claim 12 (depends on 9) The method as in claim 9, wherein the plural vehicle sensors include at least sound detection sensors, the information from the plural vehicle sensors includes sounds of liquid in the environment interacting with at least one of the parts of the vehicle, and the sounds of liquid are compared with the information in the database by comparing an amplitude of the sounds at different frequencies of the sounds and comparing against the database to find a most similar sound in the database by examining a frequency distribution of the sounds of liquid in the environment to determine the dangerous road condition. ### Claim 13 (depends on 9) The method as in claim 9, wherein the plural vehicle sensors include at least sound detection sensors, the information from the plural vehicle sensors includes sounds of liquid in the environment interacting with at least one of the parts of the vehicle, and the sounds are compared with sound information in the database to determine the dangerous road condition, wherein the sounds of liquid include a sound of windshield wipers on the vehicle interacting with the liquid in the environment. ### Claim 14 (depends on 9) The method as in claim 9, wherein the determining obtains information from water in the environment interacting with multiple different parts in the vehicle, and compares the way the water reacts with one of the multiple different parts, with a way that the water reacts with another of the multiple different parts, and compares that to information in the database, to determine the dangerous road condition and to operate in the less aggressive automated driving. ### Claim 15 (depends on 14) The method as in claim 14, wherein the determining detects differences with a way the water comes off a windshield of the vehicle and the way the water comes off the tires of the vehicle to detect the dangerous road condition and to operate in the less aggressive automated driving. ### Claim 16 (depends on 9) The method as in claim 9, wherein the rules also include a speed for turning operations, and the less aggressive automated driving reduces the speed for turning operations.