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.

Systems and techniques are described for event detection. A described system includes a vehicle body containing body regions, sensors, processor, and memory. The sensors can include at least one sensor positioned about at least one body region of the body regions. The at least one body region can be associated with a region event type. The memory can store instructions thereon that, when executed by the processor, cause the processor to perform operations which can include obtaining data associated with at least one sensor measurement from the at least one sensor, determining that the at least one sensor measurement is associated with the region event type, and determining that an event associated with the region event type occurred based on determining that the at least one sensor measurement is associated with the region event type and that the at least one body region is associated with the region event type.

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.

Provided is a pedestrian protection apparatus. An image capturer captures a far infrared (FIR) image of an object in front of a vehicle. A sensor is mounted on a bumper of the vehicle and senses at least one of a change in acceleration and a change in pressure of the bumper caused by a collision between the vehicle and an object located in front of the vehicle. A controller determines whether or not the object is a pedestrian candidate in accordance with the FIR image captured by the image capturer, determines whether or not the pedestrian candidate is a pedestrian in accordance with at least one of the change in the acceleration and the change in the pressure sensed by the sensor, and operates a protector for pedestrian protection in response to the pedestrian candidate being identified as the pedestrian.

Provided is an anomaly detection device capable of acquiring a degree of anomaly required for anomaly detection even when a feature pattern of time series data changes over time. The anomaly detection device of the present invention is a device that detects the degree of anomaly in the time series data. The anomaly detection device includes a first acquisition unit, a prediction unit, and an anomaly degree acquisition unit. The first acquisition unit acquires, from a first section that is a partial section of the time series data, a dynamic feature pattern of the first section. The prediction unit predicts data of a second section that is a partial section of the time series data later than the first section by using the feature pattern to obtain predicted second section data. The anomaly degree acquisition unit acquires the degree of anomaly based on a difference between the predicted second section data and actual data of the second section in the time series data.

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.

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.

Provided is a pedestrian protection apparatus. An image capturer captures a far infrared (FIR) image of an object in front of a vehicle. A sensor is mounted on a bumper of the vehicle and senses at least one of a change in acceleration and a change in pressure of the bumper caused by a collision between the vehicle and an object located in front of the vehicle. A controller determines whether or not the object is a pedestrian candidate in accordance with the FIR image captured by the image capturer, determines whether or not the pedestrian candidate is a pedestrian in accordance with at least one of the change in the acceleration and the change in the pressure sensed by the sensor, and operates a protector for pedestrian protection in response to the pedestrian candidate being identified as the pedestrian.

A system and method performed by a sensor testing apparatus of a vehicle are provided for determining when certain event conditions are true. The event conditions comprise detecting an occurrence of a predefined event that impacts a sensor of the vehicle. After the predefined event is detected, a test is performed to determine whether the sensor is outputting sensor values within sensor specification values. When the event conditions are true, the method includes testing the sensor relative to a reference to determine when the sensor is operating within reference criteria to produce a positive reference testing result. When the reference testing result is positive, the method directs the vehicle to return to normal operation, and otherwise directs the vehicle to be serviced.

An impact detection system is disclosed for detecting and identifying an object colliding with a vehicle. The impact detection system comprises a sensor arrangement arranged to measure a characteristic of an impact of the object against the vehicle, a trigger determiner associated with the sensor arrangement for determining whether the characteristic of the 5 impact is greater than a predefined threshold value, and an image capturing device arranged to capture an image of the object. The system is arranged to automatically make the captured image available for inspection in response to the trigger determiner determining that the characteristic of the impact is greater than the predefined threshold value so that the object in the image can be identified substantially in real-time.