Gm Global Technolgoy Operations, Inc.

Jinzhu Chen

Fan Bai

Donald K Grimm

Shu Chen

John Sergakis

David E Bojanowski

Bo Yu

Aaron Adler

Zijun Han

Joseph K Moore

Chia-Hsiang Liu

Carlos E Arreaza

Amin Abdossalami

Bakhtiar Brian Litkouhi

Mohammad Naserian

Youssef A Ghoneim

Lakshmi V Thanayankizil

Jie Zhu

Robert A Hrabak

Kamran Ali

Mohamed A Layouni

Thomas E Utter

Chuan Li

Markus Jochim

Richard Gordon

Halit Zengin

Feiyu Cong

An Xu

Evripidis Paraskevas

Swee Meng Yong

Manohar S Nemilikonda

Harnit Kaur Anand

Ying Li

Mahesh Pottelu

Yassir E Elrayah

Pasit Asavisanu

A method for unicast UWB ranging includes receiving UWB sensor data from a plurality of UWB sensors. The UWB sensors include UWB anchors and a UWB tag. The method further includes assigning a priority to each of the plurality of UWB to create a schedule. Also, the method includes synchronizing a global clock to generate a synchronized global time. Moreover, the method includes determining a maximum time gap and a minimum time gap, wherein the minimum time gap is a minimum amount of time needed between a first sensor reading and a second sensor reading of the plurality of UWB sensors to avoid UWB signal collision, the maximum time gap is a maximum predetermined amount of time between sensor readings of the plurality of UWB sensors; and updating the schedule based on the synchronized global time, the minimum time gap, and the maximum time gap.

Synchronized unicast ranging for UWB localization

Systems and methods of harvesting wireless energy for climate control in a cabin of a vehicle are provided. The method comprises receiving an electromagnetic (EM) signal of EM radiation having EM energy to define an EM current. The method further comprises filtering the EM energy to regulate the EM current converting the EM current to direct current. The method further comprises storing the direct current for powering a battery-free wireless sensing unit and powering the battery-free wireless sensing unit with the direct current. After powering the battery-free wireless sensing unit, the method comprises sensing an actual condition in the cabin, the actual condition being one of actual temperature and actual humidity in the cabin. Furthermore, the method comprises adjusting one of temperature and humidity in the cabin in response to a difference between the actual condition and a set condition.

System and method of harvesting wireless energy for climate control in a vehicle

Systems and methods of diagnosing sensor performance of an ultra wide band (UWB) sensor localization for a vehicle are provided. The method comprises receiving sensor signals from at least four UWB anchors and a UWB tag for a time period. The sensor signals represent anchor coordinates and real-time distances between the tag and each anchor. The method comprises aligning the sensor signals to define aligned data. The method comprises calculating a predicted location of the UWB tag based on the aligned data and a least square of error to define a first constructed matrix and a second constructed matrix. The method comprises determining a local error of each of the at least four UWB anchors based on the least square of error and comparing each local error with an error threshold to define a first threshold high. The method comprises determining an erratic anchor based on the first threshold high.

System and method for diagnosing sensor performance of an ultra wide band sensor localization

Systems and methods for diagnosing sensor performance of a UWB sensor localization are provided. The system comprises a UWB tag, at least four UWB anchors, and a gateway. The gateway comprises an ECU arranged to receive sensor signals from the UWB anchors. The ECU comprises a preprocessing module arranged to align the sensor signals defining aligned data and is arranged to determine intersections of the aligned data defining points of intersections. The system further comprises a clustering module arranged to cluster the points of intersections defining at least one cluster of points of the UWB anchors to calculate a clustering quality and a clustering variance of each of the at least one cluster. The ECU is arranged to find a clustering contribution of each anchor defining a first contribution low of one of the anchors and is arranged to determine an erratic anchor based the first contribution low.

A warning system is provided for alerting a VRU of a predicted collision. The system includes one or more input devices for transmitting first and second input signals for associated first and second vehicles. The system further includes a UWB beacon communicating with a UWB tag of a VRU notification device carried by the VRU. A location of the UWB tag is trackable via a third input signal. The system further includes a computer having one or more processors and a non-transitory computer readable medium. The processor is programmed to determine the location of the VRU and further determine the predicted collision between the second vehicle and the VRU. The processor is further programmed to generate a notification actuation signal associated with the VRU at a tracked location. The VRU notification device notifies the VRU that the second vehicle is headed toward the predicted collision site in the crosswalk.

Vehicle warning system for actuating a mobile device to alert a vulnerable road user of a predicted collision with a hidden approaching vehicle

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 method and system of resilient UWB target localization for a vehicle are provided. The system comprises a UWB tag arranged to be mobile and trackable by way of a sensor signal and at least three UWB anchors. Each anchor is in communication with the tag. The system further comprises a gateway in communication with the anchors. The gateway comprises an ECU arranged to receive sensor signals from UWB anchors. The ECU comprises a preprocessing module, a clustering module, and a Bayesian module. The preprocessing module is arranged to align sensor signals at an aligned timestamp to define aligned data. The clustering module is arranged to cluster points of intersections, defining a sensed location for each cluster. The Bayesian module is arranged to determine a real-time location of the tag based on a Bayesian probability function to match the sensed location with a predicted location of the tag.

System and method of resilient ultra wide band target localization for a vehicle

A method for sharing a digital key associated with a vehicle by a cascaded key delegation system includes issuing, by a requestor device, a public key certificate to an initial delegator device that is part of a cloud delegation service. The public key certificate enables the initial delegator device to grant delegation rights the vehicle. The method also includes issuing, by the initial delegator, an intermediate public key certificate to a subsequent delegator that is part of the cloud delegation service. The intermediate public key certificate grants the delegation rights to the subsequent delegator.

Cascaded key delegation system for sharing a digital key associated with a vehicle

A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: receive metadata and results including at least one data transmission constraint, perform a search of a k-d tree based on the at least one data transmission constraint, and select at least one data compression process from the k-d tree based on the search. The k-d tree includes a plurality of nodes corresponding to data compression solutions.

Data compression selection system

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

A system and method for sharing a digital key for a vehicle. The system includes a first digital key device having a digital key stored thereon, a second digital key device, and a vehicle server. The first digital key device sends a request to the vehicle server for a key sharing session. The vehicle server commences a key sharing session in response to the request. The first digital key device shares the digital key to a second digital key device. The vehicle server ends the key sharing session.

Method for delegated key sharing for digital car key system

A system for providing weather conditions to a target vehicle includes a plurality of sensors mounted within the target vehicle adapted to measure weather conditions at the target vehicle and a computer processor adapted to collect data of weather conditions at the target vehicle from the plurality of sensors mounted within the target vehicle, collect data of measured weather conditions of at least one known location remote from the target vehicle, and build a temporal-spatial effectiveness model adapted to estimate weather conditions of at least one unknown location remote from the target vehicle using the data of weather conditions at the target vehicle and the data of measured weather conditions of the at least one known location remote from the target vehicle.

Weather data with connected vehicles

Systems and method are provided for transmitting data from a vehicle using a Wi-Fi network. A method includes: collecting, by a processor, performance data associated with a plurality of access points in the Wi-Fi network; segmenting, by a processor, a route into a plurality of route segments; mapping, by a processor, the plurality of access points to the plurality of route segments; selecting, by a processor, a set of access points from the plurality of access points based on the collected performance data, wherein the set of access points comprises a selected access point for each route segment of the plurality of route segments; predicting, by a processor, a scanning channel based on the set of access points and a current location of the vehicle; and selectively transmitting, by a processor, packet data based on the set of access points, the scanning channel, and the associated performance data.

Predictive Wi-Fi data offloading systems and methods

In one example implementation, a computer-implemented method includes receiving, by a host processing device, timestamps from a vehicle processing system of a target vehicle, the timestamps being determined based at least in part on parking area data for a target parking area and vehicle data for the target vehicle. The method further includes calculating, by the host processing device, an arrival rate and a service rate based on the timestamps. The method further includes calculating, by the host processing device, a probability of parking availability for the target parking area based at least in part on the arrival rate and the service rate. The method further includes controlling, by the host processing device, the vehicle based at least in part on the probability of parking availability for the target parking area.

Parking prediction

Methods and apparatus are provided for controlling a vehicle. In one embodiment, a method includes: receiving, by a processor, vehicle position data from the vehicle; processing, by the processor, vehicle position data with vehicle position data from other vehicles to determine a lane topology; processing, by the processor, the vehicle position data to determine traffic conditions within a lane of the lane topology; generating, by the processor, a map for controlling the vehicle based on the lane topology and the traffic conditions.

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Troy, MI, United States of America

Jinzhu Chen