Disclosed herein are a method and apparatus for sensing an impact on a vehicle based on an acoustic sensor and an acceleration sensor. The method of sensing an impact on a vehicle may include obtaining information related to an impact sound generated in the vehicle of a user and around the vehicle of the user through an acoustic sensor, obtaining information related to an impact applied to the vehicle of the user through an impact detection sensor, and determining an impact sound directly generated in the vehicle of the user based on the information related to the impact sound and the information related to the impact.

System for detecting vehicle body damage caused to a body of a vehicle, wherein the system comprises numerous sensor devices arranged in connection with an exterior surface of the vehicle body for monitoring, registering and alerting on-line, in real-time, when and if a vehicle body damage is caused to the vehicle.

Disclosed herein are a method and apparatus for sensing as impact on a vehicle based on an acoustic sensor and an acceleration sensor. The method of sensing an impact on a vehicle may include obtaining information related to an impact sound generated in the vehicle of a user and around the vehicle of the user through an acoustic sensor, obtaining information related to an impact applied to the vehicle of the user through an impact detection sensor, and determining an impact sound directly generated in the vehicle of the user based on the information related to the impact sound and the information related to the impact.

The present technique relates to an information processing device, an information processing method, a program, and a vehicle which realize improvement of accuracy of detecting a contact between a vehicle and an obstacle. The information processing device includes an obstacle detection unit that detects an obstacle in a surrounding area of a vehicle, a contact prediction unit that predicts contact between the vehicle and the obstacle on the basis of a detection result of the obstacle, an event detection unit that detects an event which occurs due to contact between the vehicle and an object, and a contact detection unit that detects contact between the vehicle and the obstacle on the basis of a detection result of the event, during a period of time during which a possibility of contact between the vehicle and the obstacle is predicted. The present technique is applicable to a vehicle, for example.

With a method for detecting a contact event on the outer shell of a vehicle, wherein at least one structure-borne sound signal is detected by means of a structure-borne sound sensor, the detected structure-borne sound signal is evaluated by an evaluation device, and wherein the vehicle comprises a number of structure-borne sound sensors, it is provided as essential to the invention that each of the structure-borne sound sensors is associated with an area of the vehicle outer shell via a structure-borne sound conducting link, that an evaluation device is used to ascertain, by which of the structure-borne sound sensors respectively, a structure-borne sound signal has been detected, that conclusions are drawn from the association of the structure-borne sound sensors as to the area of the vehicle outer shell which has been touched, and that conclusions are drawn from the area of the vehicle shell which has been touched, as to the kind of underlying contact.

There is provided an abnormality detection device includes a detector configured to detect a shake of a vehicle, a threshold setting unit configured to set at least one threshold for determining whether the detected shake of the vehicle is abnormal, a vehicle peripheral information acquisition unit configured to acquire at least one of a video around the vehicle, illuminance information around the vehicle, and sound information around the vehicle, and a vehicle information acquisition unit configured to acquire information about a driving state of the vehicle, wherein the threshold setting unit is further configured to control the at least one threshold based on the information acquired by the vehicle peripheral information acquisition unit, when the vehicle is determined to be being parked based on the information acquired by the vehicle information acquisition unit.

A collision detection unit corrects a threshold value to a larger value, which a collision check unit uses to compare an output value of a collision detection unit, in case of a rough road surface than in case of a flat road surface. Thus, it becomes possible to suppress erroneous detection on the rough road surface while detecting a collision sensitively on a flat road surface. The rough road is detected by a vibration detection unit provided in a tire side device.

Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and/or smartphone). In some embodiments, a method comprises: detecting, with at least one processor, a crash event on a crash device; extracting, with the at least one processor, multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing, with the at least one processor, a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features; and determining, with the at least one processor, that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.

Method and apparatus are disclosed for classifying non-contact event around a vehicle based on a restraint control module accelerometer. An example vehicle includes impact sensors, a metal panel on an underside of the vehicle, an accelerometer mounted to the metal panel to measure vibrations of the metal panel caused by sound, a restraint control module. The restraint control module (a) classifies the sound as a collision event or a non-collision event, and (b) deploys an airbag when the sound is classified as the collision event and the impact sensors indicate the collision event.

A sensor device includes a sensor which is configured to detect a physical quantity generated by an impact event and to generate first measurement data based on the impact event. The sensor device also includes a MEMS microphone configured to detect sound waves generated by the impact event and to generate second measurement data based on the impact event. The sensor device is configured to provide the first measurement data and the second measurement data to a logic unit. The logic unit is configured to detect the impact event based on a combination of the first measurement data and the second measurement data.