Delphi Technologies, Inc.

Samsung Electronics Co., Ltd.

Aptiv Technologies Limited

John P Absmeier

Michael H Laur

Serge Lambermont

Matthew J Lewis

David Anderson

Rafel Fors Perez

Sean Michael Kelly

Euan Thomson

Nandita Mangal

Divya Agarwal

Frantz Roger Lohier

Gail E Geiger

Divya Shah

Eunsung Park

Tory Smith

Dante Zeviar

Anthony Nguyen

Yosi Levi

Wu Dun

Provided is a disclosure for a mobile sensor platform including various hardware and software to perform sensing operations of various occupants in the mobile sensor platform.

Mobile sensor platform

A sensor mounting arrangement suitable for an autonomous or automated vehicle having an aerodynamic generally rounded or curved front perimeter surface symmetrically arranged relative to a longitudinal axis of the vehicle. The sensor is mounted so as to be tipped toward a more optimal sensing direction, bringing a leading portion outboard of, and a trailing portion inboard of, the ideal front perimeter surface, but putting the sensor in a more optimal sensing orientation. A transparent cover protects the sensor and blends aerodynamically into the front perimeter body surface.

Automated vehicle protected and aerodynamically located sensors

Provided is a disclosure for a vehicle platform that includes acquiring information, analyzing the information, and controlling the vehicle, as well as sharing the acquired information and infotainment in the vehicle with other vehicles and electronic devices.

Apparatus and method for a vehicle platform

A navigation system suitable for use by an automated vehicle includes a first sensor, a second sensor, a digital-map, and a controller. The digital-map includes a first data-group of navigation-features preferentially detected by the first sensor-technology, and a second data-group of navigation-features preferentially detected by the second sensor-technology. The controller determines, on the digital-map, first and second locations of the host-vehicle using the first and second sensors, respectively. The controller selects one of the first and second locations to navigate the host-vehicle based on a comparison of the first data-density and the second data-density. Alternatively, the controller determines a first feature-density and a second feature-density of navigation-features detected by the first and second sensors respectively, and selects one of the first location and the second location to navigate the host-vehicle based on a comparison of the first feature-density and the second feature-density.

Automated vehicle sensor selection based on map data density and navigation feature density

A cooperative-vehicle system suitable to operate an automated vehicle in a courteous or cooperative manner includes an object-detector and a controller. The object-detector is used by the host-vehicle to detect an other-vehicle attempting to enter a travel-lane traveled by the host-vehicle. The controller is in communication with the object-detector. The controller is configured to control motion of the host-vehicle. The controller is also configured to adjust a present-vector of the host-vehicle to allow the other-vehicle to enter the travel-lane. The decision to take some action to allow the other vehicle to enter the travel-lane may be further based on secondary considerations such as how long the other-vehicle has waited, a classification of the other-vehicle (e.g. an ambulance), an assessment of how any action by the host-vehicle would affect nearby vehicles, the intent of the other-vehicle, and/or a measure traffic-density proximate to the host-vehicle.

Cooperative automated vehicle system

Autonoumously driven vehicle

A cognitive-driver-assist system includes an object-detection device, an operator-detection device, a control-override device, and a controller. The object-detection device is operable to detect when an object is proximate to a host-vehicle. The operator-detection device is operable to determine when an operator of the host-vehicle is aware of the object. The control-override device is operable to limit operator-authority of the operator while the operator is driving the host-vehicle. The controller is configured to operate the control-override device in accordance with the operator-authority to override the operator and avoid interference with the object when the operator is not aware of the object.

Cognitive driver assist with variable assistance for automated vehicles

A system for automated operation of a host-vehicle includes an object-detection device and a controller. The object-detection device is operable to detect an object in a field-of-view proximate to a host-vehicle. The object-detection device is operable to vary a field-of-focus of the object-detection device used to observe a portion of the field-of-view. The controller is configured to determine, based on information received from the object-detection device, a travel-direction of the object relative to a travel-path of the host-vehicle. The controller is also configured to adjust the field-of-focus of the object-detection device based on the travel-direction.

Variable object detection field-of-focus for automated vehicle control

A system for automated operation of a host-vehicle includes a controller configured to operate the host-vehicle during automated operation of the host-vehicle. The controller is configured to do so in accordance with a parameter stored in the controller. The controller is also configured to determine when an operator of the host-vehicle uses a vehicle-control-input to override the controller and thereby operate the host-vehicle in a manner different from that which is in accordance with the parameter. The controller is also configured to modify the parameter in accordance with the manner of the operator.

Automated vehicle parameter modification based on operator override

Lower front bumper for an automobile

A cognitive-driver-assist system includes an object-detection device, an operator-detection device, and a controller. The object-detection device is operable to detect when an object is proximate to a host-vehicle. The operator-detection device is operable to determine when an operator of the host-vehicle is aware of the object. The controller is configured to output a warning-signal for the operator of the host-vehicle when the object-detection device detects the object. The warning-signal is characterized by a warning-intensity that is variable. The controller is configured to increase the warning-intensity when the operator is not aware of the object.

Cognitive driver assist with variable warning for automated vehicles

In an SOFC stack system, a reformer supplies reformate to the stack. An anode tail gas portion is recycled into the reformer. An inline flowmeter indicates an apparent recycle flow rate. A map of anode tail gas composition as a function of fuel utilization efficiency U, reformer oxygen/carbon ratio O:C, and recycle percentage R is generated on a laboratory test bed at various recycle rates and fuel utilization rates. Compositions are sent through a flowmeter and a Coriolus mass flowmeter provide a Coriolus flow and sensor voltage function across the various compositions and flow rates to create an average curve and an average (reference) voltage at a given flow. A scale factor Z is calculated and used to determine a scaled sensor voltage X for use in an average flow polynomial curve fit equation to calculate tail gas mass flow rate at any flow value indicated by the flow meter.

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Rochester, NY, United States of America

John P Absmeier