Gm Global Technolgoy Operations, Inc.

Amin Abdossalami

Joseph K Moore

Donald K Grimm

Carlos E Arreaza

Fan Bai

Jinzhu Chen

Mansoor Alghooneh

Halit Zengin

Harnit Kaur Anand

Alaa M Khamis

Fahim Javid

Shawn F Granda

Terry W Ostan

Liviu Serbu

Anushya Viraliur Ponnuswami

Swee Meng Yong

Yue Zhuang

Yassir E Elrayah

A method of occupant profiling for seamless experience and actionable insights. The method includes receiving occupant data about an occupant of a host vehicle, generating a knowledge graph based on the occupant data using automotive ontology, querying the knowledge graph to generate an occupant profile comprising the wants and the needs of the occupant of the host vehicle, communicating the occupant profile to a target vehicle, comparing features of a target vehicle to features of the host vehicle to determine a compatible feature, and configuring the at least one compatible feature of the target vehicle based on the occupant profile. The compatible feature is a vehicle feature present in both the target vehicle and the host vehicle. The occupant data includes meta-data about the occupant of the host vehicle, customer-facing features of the host vehicle, and interaction data between the occupant and the customer-facing features of the host vehicle.

Method of occupant digital profiling for seamless experience and actionable insights

A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to receive sensor data including wheel speed measurements, suspension displacement measurements, and tire leak detection data from a vehicle, estimate a rough road measurement based on a deviation of a wheel speed with respect to an average wheel speed and or based on suspension displacement sensor signals and generate temporal spatial map data indicative of a location and a roughness severity metric of a roadway portion based on the rough road measurement and tire leak detection data.

Connected vehicle-based road surface quality determination

A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to receive geoindexed detected vehicle event data from at least one vehicle occurring within a predefined time period, normalize the geoindexed detected vehicle event data according to Global Position System (GPS) data corresponding to a geoindex map, and generate an infrastructure recommendation based on the normalized and aggregated geoindexed detected vehicle event data.

Connected vehicle road-safety infrastructure insights

A distributed computing system for determining road surface traction capacity for roadways located in a common spatio-temporal zone includes a plurality of vehicles that each include a plurality of sensors and systems that collect and analyze a plurality of parameters related to road surface conditions in the common spatio-temporal zone. The distributed computing system also includes one or more central computers in wireless communication with each of the plurality of vehicles. The one or more central computers execute instructions to determine a road surface traction capacity value for the common spatio-temporal zone.

Distributed computing system for determining road surface traction capacity

Embodiments include methods, systems and computer readable storage medium for a method for detection and notification of a tire leak is disclosed. The method includes receiving, by a tire leak detection system, sensor data from one or more tires. The method further includes determining, by the tire leak detection system, an occurrence of a leak anomaly in at least one of the one or more tires based on the sensor data. The method further includes predicting, by the tire leak detection system, a time and/or distance the at least one of the one or more tires will function ineffectively. The method further includes outputting, by the tire leak detection system, a code to a user or server indicating a leak type associated with the leak anomaly.

Tire leak detection and notification system

Examples of techniques for determining tire leak rate are disclosed. In one example implementation, a method includes receiving, by a processing device, temperature data, pressure data, tire characteristics, and an estimated leak rate associated with the tire. The method further includes calculating, by the processing device, a temperature normalized fused pressure after fusing the temperature data and the pressure data. The method further includes determining, by the processing device, the tire leak rate based at least in part on a decay of the temperature normalized fused pressure over time. The method further includes providing, by the processing device, an alert to an operator of the vehicle that a leak is detected based at least in part on a comparison between the tire leak rate and a leak rate threshold.

Determining tire leak rate

Growing community of inventors

Toronto, Canada

Amin Abdossalami