A body component of a vehicle can comprise a first substrate formed of at least one non-conductive material and defining a back surface that defines a retroreflector geometry and a front surface that defines a different geometry than the retroreflector geometry, wherein the front surface of the first substrate is an exposed A-surface of the body component. The body component can further comprise a conductive layer formed of a conductive material and arranged adjacent to the back surface of the first layer, the conductive layer (i) also defining the retroreflector geometry and (ii) reflecting radar waves transmitted from a radar device of another vehicle.

A method includes receiving, from a mobile device disposed within a vehicle, a set of sensor measurements collected from an accelerometer of the mobile device during a first time period and converting the set of sensor measurements into a frequency domain. The method also includes filtering the set of sensor measurements to eliminate high frequency sensor measurements and defining a set of contiguous windows based on a remaining sensor measurements in the set of sensor measurements. Each contiguous window of the set of contiguous windows represents a contiguous portion of the remaining sensor measurements. The method further includes generating, for each contiguous window of the set of contiguous windows, a set of features by resampling the remaining sensor measurements of the contiguous window at one or more predefined frequencies and generating an estimated speed of the vehicle during the first time period using the set of features.

A method for detecting contacts on a vehicle. In the method, signals from at least two sensor are evaluated and compared to one another, wherein at least one signal strength-independent property of the signals is taken into account.

Embodiments of the invention include a vehicle telematics system including a telematics device and a remote server system, wherein the telematics device obtains sensor data from at least one sensor installed in a vehicle, calculates peak resultant data based on the sensor data, generates crash score data based on the peak resultant data and a set of crash curve data for the vehicle, and provides the obtained sensor data when the crash score data exceeds a crash threshold to the remote server system and the remote server system obtains vehicle sensor data and vehicle identification data from the vehicle telematics device, calculates resultant change data and absolute speed change data based on the obtained sensor data and/or the vehicle identification data, and generates crash occurred data when the resultant change data exceeds a first threshold value and when the absolute speed change data is below a second threshold value.

An apparatus and method for controlling opening and closing of a vehicle door are provided. The apparatus includes a driving unit that opens and closes a door a controller that operates the driving unit. Additionally, an acoustic wave processing unit receives and analyzes an acoustic wave signal generated by force exerted onto the door to generate a control signal for opening or closing of the door. The controller receives the control signal to thus operate the driving unit. Further, the acoustic wave processing unit includes an acoustic wave sensor disposed inside of the door and receives the acoustic wave signal, and an MCU that analyzes a signal output from the acoustic wave sensor to generate the control signal.

Disclosed is a pedestrian collision determination system including a collision detection sensor and a control unit, the collision detection sensor including a conductive pattern disposed on a front surface of a shock absorber of a vehicle bumper to form an electromagnetic field by an application of alternating current power and a conductive material disposed at a position facing the conductive pattern on an inner surface of a bumper skin of the vehicle bumper, and the control unit determining an occurrence or non-occurrence of a collision of a pedestrian based on a change of a current flowing in the conductive pattern.

An airbag device for a front passenger seat includes a front passenger seat airbag main body, a center airbag portion, an actuator and a control section. The actuator is configured to switch a strap between a first state and a second state. In the first state, the center airbag portion is retained in a folded state. In the second state, the other end portion of the strap is released and the center airbag portion is allowed to inflate and expand. The control section sets the actuator to the first state when there is a full overlap frontal collision, and sets the actuator to the second state when there is a collision that is any of an oblique collision against a driver seat side of a vehicle front portion or a small overlap collision.

An apparatus and method for controlling opening and closing of a vehicle door are provided. The apparatus includes a driving unit that opens and closes a door a controller that operates the driving unit. Additionally, an acoustic wave processing unit receives and analyzes an acoustic wave signal generated by force exerted onto the door to generate a control signal for opening or closing of the door. The controller receives the control signal to thus operate the driving unit. Further, the acoustic wave processing unit includes an acoustic wave sensor disposed inside of the door and receives the acoustic wave signal, and an MCU that analyzes a signal output from the acoustic wave sensor to generate the control signal.

The disclosure relates to apparatus (300) and automated methods (100, 200) for generating a library of templates (304) corresponding to different known types of motor vehicle event and discriminating between types of event on a motor vehicle. The apparatus (300) comprises the template library (304) and a pattern matching processor (302).

Disclosed herein are systems and methods for detecting a vehicle collision. A computing device can determine a vehicle event based on inertial sensor data and speed from at least one sensor in a housing inside a cabin of a vehicle, and classify the vehicle event as a collision event or a non-collision event based on the inertial sensor data, the speed, and vehicle class data of the vehicle. The computing device can classify an event subclass of the collision event or the non-collision event based on the inertial sensor data, the speed, and the vehicle class data of the vehicle. The computing device can generate a notification based on the event subclass.