Gm Global Technolgoy Operations, Inc.

Carlos E Arreaza

Joseph K Moore

Donald K Grimm

Hojjat Izadi

Amin Abdossalami

Fan Bai

Jinzhu Chen

Halit Zengin

Harnit Kaur Anand

Reza Zarringhalam

Shiv G Patel

Amir Takhmar

Shawn F Granda

Mohammed Raju Hossain

Martin Juhas

David Cochrane

Dorothy Lui

Tyler J Jamieson

Yue Zhuang

Kibrom Yohannes

Swee Meng Yong

Yassir E Elrayah

Mohammad-Amin Rajaie

Johnson Qu

Jonathan From

Mohammad Hossein Beheshti

Mahdokht Ezati

Methods and systems for controlling movement of an e-pallet includes one or more sensors configured to obtain sensor data as to a user of the e-pallet, a second e-pallet, or both; and a processor coupled to the one or more sensors and configured to at least facilitate: determining, using the sensor data, a relative position of the user, the second e-pallet or both, with respect to the e-pallet; determining, using the sensor data, a relative orientation of the user, the second e-pallet or both, with respect to the e-pallet; and taking a control action for the e-pallet, in accordance with instructions provided by the processor, based on both the relative position and the relative orientation.

Virtual e-pallet interface

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

An electronic pallet (e-pallet) includes a superstructure mounted to a wheeled base platform. A tether device defines an articulation angle with respect to a leading edge of the superstructure, and is grasped by an operator towing the e-pallet. A motor connected to driven road wheels transmits a drive torque to the road wheels responsive to motor control signals, including a desired yaw rate and ground speed. A speed sensor, angle sensor, and length sensor are respectively configured to determine an actual ground speed of the e-pallet, the articulation angle, and a length of the tether device. An electronic controller, in response to the input signals, generates the motor control signals using proportional-integral-derivative (PID) control logic. Coupled lateral and longitudinal dynamics control loops respectively determine the desired yaw rate and ground speed to accommodate for motion of the operator.

Dynamic control of human-tethered e-pallet

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

Methods and systems are provided for a vehicle towing a trailer within a lane of a roadway that include: reconstructing, via a processor onboard the vehicle, lane markings for the trailer using lane markers as sensed via camera data; transforming the reconstructed lane markings, using additional sensor data, to a perspective of the trailer; localizing the trailer within the transformed lane markers using historical camera lane marking information, articulated vehicle dynamics, hitch angle, and trailer dimensions, without needing to add additional trailer lane sensing cameras to the trailer; calculating a time to lane crossing (T-TTLC) value for the trailer and vehicle; generating candidate blended paths of the trailer and the vehicle with a centerline of the lane of the roadway; and controlling operation of the vehicle, the trailer, or both, via instructions provided by the processor to keep the vehicle, the trailer, or both within a lane of travel.

Trailer lane departure warning and lane keep assist

Systems and methods for reversing a semi-autonomous follower vehicle involve obtaining a speed of a leader vehicle in front of and unattached to the follower vehicle that is reversing. A method includes estimating a path of the leader vehicle and determining a path for the follower vehicle based on the path of the leader vehicle. A longitudinal movement of the follower vehicle is controlled based on the speed of the leader vehicle and a lateral movement of the follower vehicle is controlled based on the path for the follower vehicle.

Semi-autonomous reversing of a follower vehicle

A method of determining a volume of a fluid in a reservoir arranged in a vehicle includes assessing, via a controller, whether a first sensor operatively connected to the reservoir and configured to detect a predetermined level of the fluid in the reservoir has been triggered. The method also includes detecting, via a second sensor, a vehicle operative state indicative of inclination of a free surface of the fluid in the reservoir. The method additionally includes communicating, via the second sensor, the detected vehicle operative state to the electronic controller and determining a degree of inclination of the free surface of the fluid in response to the detected vehicle operative state. Furthermore, the method includes determining, via the controller, the volume of the fluid in the reservoir when the first sensor has been triggered in response to the determined degree of inclination of the free surface of the fluid.

Fluid volume determination enhanced by assessment of vehicle operative state

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Oakville, Canada

Carlos E Arreaza