# US 2021/0241006 A1 · Hazard detection and warning system and method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2021/0241006 A1 - Document ID: US20210241006A1 - Status: Published application - Kind: A1 - Application number: 16/777,202 - Filed: 2020-01-30 - Published: 2021-08-05 - Earliest claimed: 2020-01-30 - Assignees: GM Global Technology Operations LLC - Applicants: GM Global Technology Operations LLC - Inventors: Md Ashabul Anam; Venkatesh Gopalakrishnan; Taleah J. Slack - Web page: https://patentgrep.com/patent/US20210241006A1 ## CPC - 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 - G08G 1/166: {for active traffic, e.g. moving vehicles, pedestrians, bikes} - B60R 11/0229: {for displays, e.g. cathodic tubes} - B60W 50/14: Means for informing the driver, warning the driver or prompting a driver intervention - B60R 2300/607: from a bird's eye viewpoint - B60R 2300/8093: for obstacle warning - B60W 2050/143: {Alarm means} - B60W 2050/146: {Display means} - B60W 2420/54: Audio sensitive means, e.g. ultrasound - B60W 2554/402: Type - B60W 2554/4029: Pedestrians - B60W 2756/10: Involving external transmission of data to or from the vehicle - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G08G: TRAFFIC CONTROL SYSTEMS (guiding railway traffic, ensuring the safety of railway traffic B61L; arrangement of road signs or traffic signals E01F9/00; radar or analogous systems, sonar systems, lidar systems specially adapted for traffic control G01S13/91, G01S15/88, G01S17/88; {radar or analogous systems, sonar systems, lidar systems specially adapted for anti-collision purposes G01S13/93, G01S15/93, G01S17/93}) - B60R: VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR - 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 method to reduce a vehicle-hazard potential, the method including the steps of: detecting, via a sensor, one or more objects in a vehicle environment; determining whether these objects are of a specific type; and based on the specific type of the one or more objects, deterring the one or more objects from colliding with a vehicle. ## Claims ### Claim 1 A method to reduce a vehicle-hazard potential, the method comprising: detecting, via a sensor, one or more objects in a vehicle environment; determining whether the one or more objects are of a specific type; and based on the specific type of the one or more objects, deterring the one or more objects from colliding with a vehicle. ### Claim 2 (depends on 1) The method of claim 1, further comprising the step of providing a potential-of-hazard notification to one or more vehicle occupants. ### Claim 3 (depends on 2) The method of claim 2, wherein the potential-of-hazard notification is displayed as an image, wherein the image is a model of the vehicle environment constructed from sensor data. ### Claim 4 (depends on 1) The method of claim 1, further comprising the step of transmitting sensor information of the one or more objects in the vehicle environment to a data center, wherein the data center is configured to convert the sensor information into warning information, wherein the data center is further configured to transmit the warning information to one or more third-party vehicles. ### Claim 5 (depends on 1) The method of claim 1, wherein the determination of the one or more objects comprises: creating a perceptual map of the vehicle environment from sensor information; locating one or more objects in the perceptual map; comparing the one or more objects to one or more test patterns; and wherein, when the one or more objects match the one or more test patterns, determining the one or more objects are of the specific type; otherwise, the objects are not of the specific type. ### Claim 6 (depends on 1) The method of claim 1, wherein: the one or more objects are detected by passively receiving one or more sounds made by the one or more objects; the determination of the one or more objects comprises: comparing the one or more sounds made by the one or more objects to one or more test patterns; and wherein, when the one or more sounds made by the one or more objects match the one or more test patterns, determining the objects are of a certain type; otherwise, the objects are not of the certain type. ### Claim 7 (depends on 1) The method of claim 1, wherein the one or more objects are deterred via a deterrent device. ### Claim 8 A system to reduce a vehicle-hazard potential, the system comprises: a memory configured to comprise a plurality of executable instructions and a processor configured to execute the executable instructions, wherein the executable instructions enable the processor to carry out the following steps: detecting, via a sensor, one or more objects in a vehicle environment; determining whether the one or more objects are of a specific type; and based on the specific type of the one or more objects, deterring the one or more objects from colliding with a vehicle. ### Claim 9 (depends on 8) The system of claim 8, wherein the executable instructions enable the processor to carry out the additional step of providing a potential-of-hazard notification to one or more vehicle occupants. ### Claim 10 (depends on 9) The system of claim 9, wherein the potential-of-hazard notification is displayed as an image, wherein the image is a model of the vehicle environment constructed from sensor data. ### Claim 11 (depends on 8) The system of claim 8, wherein the executable instructions enable the processor to carry out the additional step of transmitting sensor information of the one or more objects in the vehicle environment to a data center, wherein the data center is configured to convert the sensor information into warning information, wherein the data center is further configured to transmit the warning information to one or more third-party vehicles. ### Claim 12 (depends on 8) The system of claim 8, wherein the determination of the one or more objects comprises: creating a perceptual map of the vehicle environment from sensor information; locating one or more objects in the perceptual map; comparing the one or more objects to one or more test patterns; and wherein, when the one or more objects match the one or more test patterns, determining the one or more objects are of the specific type; otherwise, the objects are not of the specific type. ### Claim 13 (depends on 8) The system of claim 8, wherein: the one or more objects are detected by passively receiving one or more sounds made by the one or more objects; the determination of the one or more objects comprises: comparing the one or more sounds made by the one or more objects to one or more test patterns; and wherein, when the one or more sounds made by the one or more objects match the one or more test patterns, determining the objects are of a certain type; otherwise, the objects are not of the certain type. ### Claim 14 (depends on 8) The system of claim 8, wherein the one or more objects are deterred via a deterrent device. ### Claim 15 A non-transitory and machine-readable medium having stored thereon executable instructions adapted to reduce a vehicle-hazard potential, which when provided to a processor and executed thereby, causes the processor to carry out the following steps: detecting, via a sensor, one or more objects in a vehicle environment; determining whether the one or more objects are of a specific type; and based on the specific type of the one or more objects, deterring the one or more objects from colliding with a vehicle. ### Claim 16 (depends on 15) The non-transitory and machine-readable medium of claim 15, wherein the processor to carries out the additional step of providing a potential-of-hazard notification to one or more vehicle occupants. ### Claim 17 (depends on 16) The non-transitory and machine-readable medium of claim 16, wherein the potential-of-hazard notification is displayed as an image, wherein the image is a model of the vehicle environment constructed from sensor data. ### Claim 18 (depends on 15) The non-transitory and machine-readable medium of claim 15, wherein the processor to carries out the additional step of transmitting sensor information of the one or more objects in the vehicle environment to a data center, wherein the data center is configured to convert the sensor information into warning information, wherein the data center is further configured to transmit the warning information to one or more third-party vehicles. ### Claim 19 (depends on 15) The non-transitory and machine-readable medium of claim 15, wherein the determination of the one or more objects comprises: creating a perceptual map of the vehicle environment from sensor information; locating one or more objects in the perceptual map; comparing the one or more objects to one or more test patterns; and wherein, when the one or more objects match the one or more test patterns, determining the one or more objects are of the specific type; otherwise, the objects are not of the specific type. ### Claim 20 (depends on 15) The non-transitory and machine-readable medium of claim 15, wherein: the one or more objects are detected by passively receiving one or more sounds made by the one or more objects; the determination of the one or more objects comprises: comparing the one or more sounds made by the one or more objects to one or more test patterns; and wherein, when the one or more sounds made by the one or more objects match the one or more test patterns, determining the objects are of a certain type; otherwise, the objects are not of the certain type.