# US 11,999,296 B2 · Motor vehicle artificial intelligence expert system dangerous driving warning and control system and method

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- Number: US 11,999,296 B2
- Document ID: US11999296B2
- Status: Granted
- Kind: B2
- Application number: 18/537,724
- Filed: 2023-12-12
- Published: 2024-04-11
- Granted: 2024-06-04
- Earliest claimed: 2016-09-27
- Applicants: Robert D. Pedersen
- Inventors: Robert D. Pedersen
- Web page: https://patentgrep.com/patent/US11999296B2

## CPC

- B60Q 9/008: {for anti-collision purposes}
- G06N 5/02: Knowledge representation; Symbolic representation
- G06N 5/048: Fuzzy inferencing
- G06V 20/56: exterior to a vehicle by using sensors mounted on the vehicle
- G06V 20/597: {Recognising the driver's state or behaviour, e.g. attention or drowsiness}
- G08G 1/0116: {from roadside infrastructure, e.g. beacons}
- G08G 1/012: {from other sources than vehicle or roadside beacons, e.g. mobile networks}
- G08G 1/0129: {for creating historical data or processing based on historical data}
- G08G 1/0141: {for traffic information dissemination}
- G08G 1/048: with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
- G08G 1/096716: {where the received information does not generate an automatic action on the vehicle control}
- G08G 1/096741: {where the source of the transmitted information selects which information to transmit to each vehicle}
- G08G 1/096775: {where the origin of the information is a central station}
- G08G 1/096783: {where the origin of the information is a roadside individual element}
- G08G 1/166: {for active traffic, e.g. moving vehicles, pedestrians, bikes}
- G08G 1/167: {Driving aids for lane monitoring, lane changing, e.g. blind spot detection}
- G08G 1/205: {Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental}
- G10L 15/22: Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L 15/26: Speech to text systems (G10L15/08 takes precedence)
- G10L 21/0232: Processing in the frequency domain
- G10L 25/78: Detection of presence or absence of voice signals (switching of direction of transmission by voice frequency in two-way loud-speaking telephone systems H04M9/10)
- H04B 5/26: using coils
- H04B 5/77: for interrogation
- H04M 1/72454: according to context-related or environment-related conditions
- H04M 1/72463: to restrict the functionality of the device
- H04R 1/406: {microphones}
- H04R 3/005: {for combining the signals of two or more microphones (specially adapted for hearing aids H04R25/407)}
- H04W 4/023: {using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds}
- H04W 4/40: for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W 4/80: Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
- H04W 4/90: Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
- G10L 2021/02166: {Microphone arrays; Beamforming}
- H04B 5/73: for taking measurements, e.g. using sensing coils
- H04B 7/0617: {for beam forming}
- H04M 1/724098: {Interfacing with an on-board device of a vehicle (for hands-free speaking in vehicles H04M1/6075)}
- H04R 2201/403: Linear arrays of transducers
- H04R 2499/13: Acoustic transducers and sound field adaptation in vehicles
- B60Q: ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- 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})
- G10L: SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- H04B: TRANSMISSION
- H04M: TELEPHONIC COMMUNICATION (circuits for controlling other apparatus via a telephone cable and not involving telephone switching apparatus G08)
- H04R: LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; PUBLIC ADDRESS SYSTEMS (producing sounds with frequency not determined by supply frequency G10K)
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)

## Abstract

Specifically programmed, integrated motor vehicle dangerous driving warning and control system and methods comprising at least one specialized communication computer machine including electronic artificial intelligence expert system decision making capability further comprising one or more motor vehicle electronic sensors for monitoring the motor vehicle and for monitoring activities of the driver and/or passengers including activities related to the use of cellular telephones and/or other wireless communication devices and further comprising electronic communications transceiver assemblies for communications with external sensor networks for monitoring dangerous driving situations, weather conditions, roadway conditions, pedestrian congestion and motor vehicle traffic congestion conditions to derive warning and/or control signals for warning the driver of dangerous driving situations and/or for controlling the motor vehicle driver use of a cellular telephone and/or other wireless communication devices.

## Claims

### Claim 1

An artificial intelligence motor vehicle danger driving warning and control method comprising:
artificial intelligence decision making utilizing an electronic, specifically programmed, communication computer system for expert system generation of motor vehicle danger driving and control signals;
derivation of motor vehicle driving condition parameters for said motor vehicle based on monitoring operational status of said motor vehicle parameters and further based on information exchanges with at least two of: (1)communication network connections with application servers, (2) communication network connections with other motor vehicles, (3) communication network connections with pedestrians, and (4) communication network connections with roadside monitoring and control units;
storing in memory expert defined propositional logic inference rules specifying multiple multidimensional conditional relationships between two or more of said motor vehicle driving condition parameters, and with expert defined individual parameter degree of danger value ranges;
artificial intelligence expert system analysis with said electronic, specifically programmed, communication computer system of one or more of said multiple multidimensional conditional relationships, and wherein said multidimensional conditional relationships result in combined parameter degree of danger value ranges that are different than degrees of danger values for individual parameters;
derivation of integrated composite degree of danger warning indices including collision avoidance warning or vehicle control signals based on said artificial intelligence expert system analysis; and,
generation of motor vehicle danger driving warning and control signals based on said artificial intelligence expert system analysis of said motor vehicle driving condition parameters.

### Claim 2 (depends on 1)

The artificial intelligence motor vehicle danger driving warning and control method of claim 1 wherein said communication network connections comprise Internet or Internet of Things (IOT) connections.

### Claim 3 (depends on 1)

The artificial intelligence motor vehicle danger driving warning and control method of claim 1 wherein said communication network connections comprise cellular network connections.

### Claim 4 (depends on 1)

The artificial intelligence motor vehicle danger driving warning and control method of claim 1 wherein said communication network connections comprise Bluetooth or Wi-Fi network connections.

### Claim 5 (depends on 1)

The artificial intelligence motor vehicle danger driving warning and control method of claim 1 wherein said communication network connections with application servers further comprise external application server database or information processing.

### Claim 6 (depends on 5)

The artificial intelligence motor vehicle danger driving warning and control method of claim 5 wherein said communication network connections with application servers further comprise cloud based external database or information processing accessed through Internet, Internet of Things (IOT) or cellular telephone communication networks.

### Claim 7 (depends on 1)

The artificial intelligence motor vehicle danger driving warning and control method of claim 1 wherein communications with said other motor vehicles comprises one or more of location, attributes, or driving dynamics of said motor vehicle.

### Claim 8 (depends on 7)

The artificial intelligence motor vehicle danger driving warning and control method of claim 7 wherein communications with said other motor vehicles further comprises communication of said vehicle location determined with GPS (Global Positioning System) or from determination of distance from cellular telephone towers or other known fixed locations transmitting signals.

### Claim 9 (depends on 7)

The artificial intelligence motor vehicle danger driving warning and control method of claim 7 wherein communication of vehicle attributes with said other motor vehicle further comprises communications of said operational status of said motor vehicle parameters, comprising one or more of tire pressure, engine heat, brake conditions, oil pressure, fuel levels, vehicle age, vehicle safety inspection check and sticker status, vehicle registration status, and/or other motor vehicle attribute safety parameter information.

### Claim 10 (depends on 7)

The artificial intelligence motor vehicle danger driving warning and control method of claim 7 wherein communication of vehicle attributes with said other motor vehicles further comprises communication of driver medical conditions or driver attention to driving said motor vehicle.

### Claim 11 (depends on 1)

The artificial intelligence motor vehicle danger driving warning and control method of claim 1 further comprising Artificial Intelligence learning capability including the development of databases recording driver driving habits, acumen, and ability to react to particularly dangerous situations.

### Claim 12 (depends on 10)

The artificial intelligence motor vehicle danger driving warning and control method of claim 10 wherein communication of vehicle attributes with said other motor vehicles further comprises communication of said driver attention to driving said motor vehicle derived from camera imaging of driver activities while driving said motor vehicle including driver uses of an electronic wireless device or from driver eye tracking to monitor driver attention to a roadway while driving said motor vehicle.

### Claim 13 (depends on 7)

The artificial intelligence motor vehicle danger driving warning and control method of claim 7 wherein communication of vehicle driving dynamics with said other motor vehicles further comprises one or more of said other said motor vehicles driving too close in front or too close behind said motor vehicle, or another motor vehicle driving in a blind spot of said motor vehicle.

### Claim 14 (depends on 1)

The artificial intelligence motor vehicle danger driving warning and control method of claim 1 wherein said communication network connections with pedestrians further comprises pedestrians gathered at specific locations.

### Claim 15 (depends on 1)

The artificial intelligence motor vehicle danger driving warning and control method of claim 1 wherein said communication network connections with pedestrians further comprises one or more of pedestrian traffic density information; pedestrians attending special events, concerts or sporting events; pedestrian traffic in school zones, shopping districts, parks, business districts or other gathering areas; or pedestrians walking around in “walkable communities” including people walking or bicycling to work.

### Claim 16 (depends on 1)

The artificial intelligence motor vehicle danger driving warning and control method of claim 1 wherein said communication network connections with roadside monitoring and control units further comprises monitoring roadway driving condition parameters, roadway control signals, roadway configurations, and roadway accident history information.

### Claim 17 (depends on 7)

The artificial intelligence motor vehicle danger driving warning and control method of claim 7 wherein said communication network connections with roadside monitoring and control units further comprises said motor vehicle driving dynamics comprising one or more of roadway parameters, weather parameters, traffic parameters, pedestrian parameters, roadside information source information or external information server information from external database or data processing units.

### Claim 18 (depends on 17)

The artificial intelligence motor vehicle danger driving warning and control method of claim 17 wherein said communication network connections with roadside monitoring and control units further comprises monitoring roadway parameters for one or more of roadway surface conditions; slippery roadway, roadway construction projects; roadway width; roadway incline; roadway location, a switchback or mountainous roadway involving steep drop-offs; roadway signage; presence or absence of roadway control signaling including stoplights or warning lights or warning signs; number of traffic lanes; railroad crossings; crossroads; and/or roadway accident history or other similar variables that could impact safety considerations with respect to a roadway being traveled.

### Claim 19 (depends on 1)

The artificial intelligence motor vehicle danger driving warning and control method of claim 1 wherein said communication network connections with roadside monitoring and control units further comprises roadway RFID (Radio Frequency Identification) tag devices used to identify a motor vehicle and communicate information to RFID tag readers located along highways tollways or roadways along which said motor vehicle is traveling.

### Claim 20

An artificial intelligence motor vehicle danger driving warning and control system comprising:
an electronic, specifically programmed, communication computer system for artificial intelligence decision making utilizing for expert system generation of motor vehicle danger driving and control signals;
derivation of motor vehicle driving condition parameters for said motor vehicle based on monitoring operational status of said motor vehicle parameters and further based on information exchanges with at least two of: (1)communication network connections with application servers, (2) communication network connections with other motor vehicles, (3) communication network connections with pedestrians, and (4) communication network connections with roadside monitoring and control units;
memory for storing expert defined propositional logic inference rules specifying multiple multidimensional conditional relationships between two or more of said motor vehicle driving condition parameters, and with expert defined individual parameter degree of danger value ranges;
artificial intelligence expert system analysis with said electronic, specifically programmed, communication computer system of one or more of said multiple multidimensional conditional relationships, and wherein said multidimensional conditional relationships result in combined parameter degree of danger value ranges that are different than degrees of danger values for individual parameters;
derivation of integrated composite degree of danger warning indices with said electronic, specifically programmed, communication computer system including collision avoidance warning or vehicle control signals based on said artificial intelligence expert system analysis; and,
generation of motor vehicle danger driving warning and control signals with said electronic, specifically programmed, communication computer system based on said artificial intelligence expert system analysis of said motor vehicle driving condition parameters.