Delphi Technologies, Inc.

Aptiv Technologies Limited

Ladon Solutions, LLC

Junqiang Shen

Kevin J Hawes

Walter Kirk Kosiak

Robert J Cashler

Charles A Cluff

Yan Zhang

Stephen J Kiselewich

Russell L Simpson

Lawrence C Hau

Scott A Pagington

The empty vs. non-empty status of a cargo container is detected based on boundary analysis of a wide-angle image obtained by a monocular vision system. The wide-angle image is warped to remove distortion created by the vision system optics, and the resulting image is edge-processed to identify the boundaries of the container floor. If package boundaries are detected within the floor space, or a large foreground package is blocking the floor boundaries, the cargo status is set to non-empty. If floor boundaries are detected and no package boundaries are detected within the floor space, the cargo status is set to empty.

Vision-based method of determining cargo status by boundary detection

Occupant displacement corresponding to sensed acceleration in a crash event is determined and used to enable and disable deployment of supplemental restraints based on crash severity. The determined occupant displacement is compared to a first threshold calibrated to discriminate against disturbances due to rough roads and other non-crash events, and a second threshold calibrated to discriminate against non-deployment crash events. Deployment of supplemental restraints based on crash severity is enabled only when the determined displacement is between the first and second thresholds.

Supplemental restraint deployment method with displacement-based deployment immunity

Impacts with a vehicle body panel are detected by sensing airflow inboard of the vehicle body panel. The airflow can be measured by heated element sensor, a Pitot tube sensor, a venturi sensor or other airflow-responsive sensor. For side impact detection, the sensor is located in a door or pillar on the side of the vehicle; for frontal impact detection, the sensor may be located behind the front bumper. Multiple sensors mounted in distributed locations can be used to determine the location and extent of an impact.

Airflow sensing method and apparatus for impact detection

A deployment method for a supplemental restraint system having multiple distributed acceleration sensors dynamically classifies each crash event based on relationships among the acceleration signals. A severity threshold is selected based on the instant crash classification, and a measure of crash severity is compared to the selected severity threshold to determine if the restraints should be deployed. The measure of crash severity is determined by computing individual measures of crash severity for the various frontal acceleration sensors and selecting the highest of the individual measures.

Supplemental restraint deployment method using dynamic crash classification

The collision of a vehicle with a pedestrian is detected by the presence of a foreign object in a sensing zone above the hood of the vehicle within a prescribed time of an initial impact with the bumper of the vehicle. The initial impact is detected with an acceleration sensor disposed in or near the front bumper and the sensing zone is defined by object detection sensors disposed on the hood or behind the windshield of the vehicle. Vehicle speed is used to discriminate against events that occur while the vehicle is stationary or moving very slowly.

Vehicle sensing method for detecting a pedestrian impact

A supplemental restraint deployment method utilizes measured vehicle speed and acceleration and the output of a closing velocity sensor that detects the presence and closing rate of an approaching object prior to contact with the vehicle. The closing velocity and vehicle speed are utilized for classification of an impending crash event, where the deployment options vary depending on the crash classification. In the ensuing crash event, a classification-dependent algorithm is executed to determine if, when and what level of restraint deployment is warranted based on measures of actual crash severity. Additionally, the algorithm is reset when the calculated change in vehicle velocity reaches the initial closing velocity.

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Kokomo, IN, United States of America

Junqiang Shen