Gm Global Technolgoy Operations, Inc.

Syed B Mehdi

Upali Priyantha Mudalige

Sayyed Rouhollah Jafari Tafti

Louis G Hector, Jr

Azeem Sarwar

Wei Zeng

Ke Liu

Nicole D Ellison

Jeremie Dernotte

Xiangxing Lu

Kevin J Silang

Bryan K Pryor

Pinaki Gupta

Yasen Hu

Shanshan L Peer

Vivek Vijaya Kumar

Chaitanya Sankavaram

Michael A Losh

Praveen Palanisamy

Jordan Ford

A method for generating a user profile and system including a controller configured to execute instructions to execute the method. The method including determining by a user of a first vehicle that an interactive maneuver is needed to provide a resource, identifying a second vehicle to interact with, contacting a user of the second vehicle, requesting the user of the second vehicle to perform the interactive maneuver, receiving a response from the user of the second vehicle, and generating a user profile for the user of the second vehicle based on the performance of providing the resource.

Systems and methods for enabling yielding decisions, conflict resolution, and user profile generation

A method for generating an occlusion map using crowdsourcing includes receiving occlusion data from a host vehicle. The occlusion data includes a plurality of virtual detection lines each extending from the sensor and intersecting an off-road area. The method further includes marking all non-occluded points that are located inside the off-road area and that are located within a predetermined distance from each plurality of virtual detection lines. The method further includes determining a non-occluded region inside the off-road area using the non-occluded points that have been previously marked inside the off-road area, wherein the non-occluded region is part of non-occlusion data. The method further includes generating an occlusion map using the non-occlusion data. The method further includes transmitting the occlusion map to the host vehicle. The method can also determine an occlusion caused by an elevation peak.

System and method for generating an occlusion map using crowdsourcing

An environment interactive system includes: a first camera capturing first images of an area external to the vehicle; a second camera capturing second images of an area interior to the vehicle; a telematics control module determining a geographical location of the vehicle; a viewing device displaying items adjacent to, on or in front of detected objects and in a FOV of an occupant. The items correspond to the detected objects; and an infotainment module. The infotainment module: detects the objects based on the first images and the location of the vehicle; based on the second images, tracks at least one of a location of an eye of the occupant or a location of a body part of the occupant other than the eye; and based on the location of the eye and the location of the body part, displays the items via the viewing device in the FOV.

Environment interactive system providing augmented reality for in-vehicle infotainment and entertainment

A gaming system of a vehicle includes: a game application embodying an interactive game and stored in memory; a sensor of a vehicle configured to determine a present condition while the vehicle is moving; a gaming module of the vehicle, the gaming module configured to, while the vehicle is moving: execute the game application; display a virtual environment of the interactive game via one or more displays in the vehicle; output sound of the interactive game via one or more speakers in the vehicle; control action within the virtual environment of the interactive game based on user input received via one or more input devices of the vehicle; and adjust one or more characteristics of the virtual environment of the interactive game based on the present condition.

In-vehicle gaming systems and methods

A system or method implemented by an autonomous vehicle involves determining a path plan to reach a destination from an origin. The path plan includes two or more path steps indicating tasks to be completed to reach the destination. The method includes, during traversal of the path plan by the autonomous vehicle, evaluating one or more of the two or more path steps of a planning horizon to determine a behavior plan for the planning horizon. The planning horizon is based on a current position of the autonomous vehicle, the behavior plan includes a speed and a trajectory, and the evaluating includes performing a cost analysis using a parallelized tree-based decision scheme at each of two or more simulation intervals within the planning horizon. The evaluating and the determining the behavior plan is repeated at two or more positions of the autonomous vehicle from the origin to the destination.

Parallelized tree-based decision scheme for autonomous vehicle

An entertainment system of a vehicle includes: a plurality of cameras configured to capture images around an exterior of the vehicle; one or more displays; and an entertainment module configured to: based on the images, generate panoramic video; and display the panoramic video within the vehicle via the one or more displays.

Panoramic virtual environment for in-vehicle entertainment

Automated driving systems, control logic, and methods execute maneuver criticality analysis to provide intelligent vehicle operation in transient driving conditions. A method for controlling an automated driving operation includes a vehicle controller receiving path plan data with location, destination, and predicted path data for a vehicle. From the received path plan data, the controller predicts an upcoming maneuver for driving the vehicle between start and goal lane segments. The vehicle controller determines a predicted route with lane segments connecting the start and goal lane segments, and segment maneuvers for moving the vehicle between the start, goal, and route lane segments. A cost value is calculated for each segment maneuver; the controller determines if a cost values exceeds a corresponding criticality value. If so, the controller commands a resident vehicle subsystem to execute a control operation associated with taking the predicted route.

Automated driving systems and control logic using maneuver criticality for vehicle routing and mode adaptation

A method of updating an identification algorithm of a vehicle includes sensing an image and drawing boundary boxes in the image. The algorithm attempts to identify an object-of-interest within each respective boundary box. The algorithm also attempts to identify a component of the object-of-interest within each respective boundary box, and if component is identified, calculates an excluded amount of a component boundary that is outside an object boundary. When the excluded amount is greater than a coverage threshold, the algorithm communicates the image to a processing center, which may identify a previously un-identified the object-of-interest in the image. The processing center may add the image to a training set of images to define a revised training set of images, and retrain the identification algorithm using the revised training set of images. The updated identification algorithm may then be uploaded onto the vehicle.

Automated data collection for continued refinement in the detection of objects-of-interest

Technical solutions are described for maneuvering a vehicle autonomously is described. An example method includes receiving, by a controller, a command to navigate the vehicle, the command based on a global route calculation. The method further includes ranking, by the controller, maneuver patterns from a list of maneuver patterns to generate a ranked list of maneuver patterns. The method further includes selecting a maneuver pattern from the ranked list, and in response to a comfort score assigned to the selected maneuver pattern being above a predetermined threshold, executing the maneuver pattern.

Fast trajectory planning via maneuver pattern selection

A method for controlling an operating vehicle includes: (a) determining, via a controller, a confidence level that the light of the other vehicle is ON based on images captured by a camera of the operating vehicle; and (b) controlling, via the controller, an alarm of the operating vehicle based on the confidence level that the light of the other vehicle is ON.

Vehicle behavior using information from other vehicles lights

A method and system of diagnosing a lubrication system of an engine includes determining a lubrication system fault and controlling an engine in response to the fault. The method is operative to first determine a poor state of health for a lubrication system, then determine an oil degradation or lube system fault. In response to a lube system fault, engine operation is altered in order to reduce the negative effects of the lube system fault such as increasing minimum idle speed in response to reduced oil pressure.

Method of managing a propulsion system based on health of a lubrication system

Systems and methods are provided for controlling a vehicle. In one embodiment, a method includes receiving vehicle state data, high-definition map data, and vehicle object environment data, generating a trajectory path that is optimal with respect to the received data, determining whether to update the trajectory path using B&#xe9;zier curves based on the received data, performing an assessment of the trajectory using properties of B&#xe9;zier curves, and generating an updated trajectory.

Trajectory planner for autonomous driving using b&#xe9;zier curves

A method of diagnosing a lubrication system of an engine includes controlling an oil pump with a control signal. The control signal is a command having a value for a desired lubrication fluid pressure from the oil pump for a current operating state of the engine. A processing unit compares the value of the control signal for the current operating state of the engine to a threshold control value for the current operating state of the engine. When the processing unit determines that the value of the control signal for the current operating state of the engine deviates from the threshold control value for the current operating state of the engine, the processing unit analyzes the value of the control signal to identify a fault in the lubrication system.

Method of diagnosing a lubrication system of an engine

An engine fuel delivery system, prognosis system, and method of conducting a fuel pump solenoid prognosis are provided. The engine fuel delivery system includes a fuel pump having a pumping chamber, a closeable inlet valve (such as a fuel pump control solenoid), and a fuel rail to communicate pressurized fuel received from the fuel pump to at least one engine cylinder. The engine fuel delivery system, prognosis system, and method are configured to determine a solenoid current feedback of a fuel pump control solenoid and a variation in the feedback. The fuel delivery system, prognosis system, and method are further configured to indicate a potential solenoid electrical connection fault if the solenoid current feedback is less than a predetermined current threshold and less than a predetermined variation threshold, and to indicate a potential solenoid weakened electromagnetic field fault if the solenoid current feedback is greater than the predetermined variation threshold.

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Farmington Hills, MI, United States of America

Syed B Mehdi