B60R21/01338

METHOD AND APPARATUS FOR CONTROLLING DEPLOYMENT OF AIRBAG
20210387585 · 2021-12-16 · ·

Provided are a method and an apparatus for controlling the deployment of an airbag. The method includes steps of: determining whether a complex collision has occurred, based on collision-related physical quantities due to a vehicle collision; and adjusting a threshold value as a criterion for determining whether to deploy an airbag when the complex collision has occurred as a result of the determination.

METHOD AND SYSTEM FOR VEHICLE CRASH PREDICTION USING MULTI-VEHICLE DATA

A method includes receiving, from a first mobile device associated with a first vehicle, first data related to a first event involving the first vehicle and receiving, from a second mobile device associated with a second vehicle, second data related to a second event involving the second vehicle. The method also includes determining, based on the first data and the second data, whether the first event and the second event correspond to a same crash event and performing one or more actions based on whether the first event and the second event correspond to the same crash event.

Vehicle collision prediction algorithm using radar sensor and ultrasonic park assist sensor

A method and apparatus of predicting a crash are provided. The method includes detecting coordinates of a target obstacle based on first coordinate information of a radar sensor and second coordinate information of an ultrasonic sensor, translating the second coordinate information to the coordinate system of the first coordinate information and generating translated coordinate information, estimating a position, speed, and acceleration of a vehicle if the vehicle is a predetermined distance from the target obstacle based on the translated coordinate information, determining a potential crash type between the vehicle and the target obstacle based on the estimated position, speed and acceleration of the vehicle, determining a three-dimensional movement trajectory based on the estimated position, speed and acceleration of the vehicle and the determined crash type, and predicting a crash point of the vehicle, a crash point of the target object and a crash time based on the three-dimensional movement trajectory.

Automatic detection and assessment of low-speed crashes

In order to detect a vehicle accident in which a vehicle and an object crash into one another, wherein a motion variable assigned to the collision is so low that at least one active occupant protection system provided for accidents in the vehicle is not activated by the crash, it is provided, with respect to the collision event, that signals and/or data formed by sensors of the vehicle are processed in such a manner that the signals and/or data are filtered, feature data are formed based on the filtered signals and/or data, and the collision event is assigned to a classification in a classification database based on the feature data.

Methods and systems for point of impact detection

Techniques are disclosed for detecting a point-of-impact of a vehicle collision. A mobile device receives a set of sensor measurements from sensors of the mobile device. The mobile device generates a crash feature vector from the sensor measurements and one or more point-of-impact features. The mobile device executes a set of classifiers using the crash feature vector and the one or more point-of-impact features. Each classifier of the set of classifiers is configured to generate an output that is partially indicative of a point-of-impact of the collision. The mobile device generates, from the output of each classifier of the set of classifiers, a prediction of a point of impact of the vehicle collision. The mobile device then transmits an indication of the point of impact to a remote device.

METHODS AND SYSTEMS FOR POINT OF IMPACT DETECTION

Techniques are disclosed for detecting a point-of-impact of a vehicle collision. A mobile device receives a set of sensor measurements from sensors of the mobile device. The mobile device generates a crash feature vector from the sensor measurements and one or more point-of-impact features. The mobile device executes a set of classifiers using the crash feature vector and the one or more point-of-impact features. Each classifier of the set of classifiers is configured to generate an output that is partially indicative of a point-of-impact of the collision. The mobile device generates, from the output of each classifier of the set of classifiers, a prediction of a point of impact of the vehicle collision. The mobile device then transmits an indication of the point of impact to a remote device.

Method and apparatus for controlling deployment of airbag
12024108 · 2024-07-02 · ·

Provided are a method and an apparatus for controlling the deployment of an airbag. The method includes steps of: determining whether a complex collision has occurred, based on collision-related physical quantities due to a vehicle collision; and adjusting a threshold value as a criterion for determining whether to deploy an airbag when the complex collision has occurred as a result of the determination.

VEHICLE COLLISION PREDICTION ALGORITHM USING RADAR SENSOR AND UPA SENSOR
20180251092 · 2018-09-06 ·

A method and apparatus of predicting a crash are provided. The method includes detecting coordinates of a target obstacle based on first coordinate information of a radar sensor and second coordinate information of an ultrasonic sensor, translating the second coordinate information to the coordinate system of the first coordinate information and generating translated coordinate information, estimating a position, speed, and acceleration of a vehicle if the vehicle is a predetermined distance from the target obstacle based on the translated coordinate information, determining a potential crash type between the vehicle and the target obstacle based on the estimated position, speed and acceleration of the vehicle, determining a three-dimensional movement trajectory based on the estimated position, speed and acceleration of the vehicle and the determined crash type, and predicting a crash point of the vehicle, a crash point of the target object and a crash time based on the three-dimensional movement trajectory.

Methods and systems for point of impact detection

Techniques are disclosed for detecting a point-of-impact of a vehicle collision. A mobile device receives a set of sensor measurements from sensors of the mobile device. The mobile device generates a crash feature vector from the sensor measurements and one or more point-of-impact features. The mobile device executes a set of classifiers using the crash feature vector and the one or more point-of-impact features. Each classifier of the set of classifiers is configured to generate an output that is partially indicative of a point-of-impact of the collision. The mobile device generates, from the output of each classifier of the set of classifiers, a prediction of a point of impact of the vehicle collision. The mobile device then transmits an indication of the point of impact to a remote device.

Automatic Detection and Assessment of Low-Speed Crashes
20180126937 · 2018-05-10 ·

In order to detect a vehicle accident in which a vehicle and an object crash into one another, wherein a motion variable assigned to the collision is so low that at least one active occupant protection system provided for accidents in the vehicle is not activated by the crash, it is provided, with respect to the collision event, that signals and/or data formed by sensors of the vehicle are processed in such a manner that the signals and/or data are filtered, feature data are formed based on the filtered signals and/or data, and the collision event is assigned to a classification in a classification database based on the feature data.