A moving object determination device applied to a vehicle, the device includes at least a predicted time calculation unit, a time difference calculation unit, and a moving/stationary determination unit. The predicted time calculation unit calculates a predicted time from when an obstacle starts to be detected by the first sensor to when the obstacle will no longer be detected by the second sensor based on a traveling speed of the obstacle and a length of the obstacle. The time difference calculation unit calculates a real time from when the obstacle has been detected by the first sensor to when the obstacle has no longer been detected by the second sensor, and calculates a time difference between the real time and the predicted time. The moving/stationary determination unit determines that the obstacle is a stationary object in response to the time difference being equal to or greater than a predetermined value.

Aspects of the disclosure relate to detecting crosswalk using high-frequency transmitters. A mobile device may receive an ultrasonic signal indicating a location of the crosswalk from a signal transmitter. The mobile device may monitor a distance to the crosswalk based on the ultrasonic signal. The mobile device may generate an alert that the user is proximately located to the crosswalk after the user is in a predetermined vicinity of the crosswalk. The mobile device may update the alert to indicate a traffic pattern after the user has entered the crosswalk.

A vehicle control system includes an integration unit that estimates information on a position and a speed of a target existing in an external field and errors of the position and the speed of the target, based on information from a movement sensor that acquires movement information including a vehicle speed and a yaw rate of an own vehicle, and information from an external field sensor that acquires information on the external field of the own vehicle. The integration unit uses not the information from the external field sensor, but the vehicle speed and the yaw rate acquired by the movement sensor, to predict a position and a speed of the target and errors of the position and the speed of the target at a second time after a first time, from a position and a speed of the target and errors of the position and the speed at the first time.

A vehicle periphery monitoring device is configured to: specify positions of detection points of an obstacle with respect to a vehicle based on detection results of multiple periphery monitoring sensors equipped to the vehicle; update the positions of the detected detection points corresponding to a position change of the vehicle; storing the updated positions of the detection points in a memory that maintains stored information during a parked state of the vehicle; and estimate, at a start time of the vehicle from the parked state, a position of a detection point, which is located in a blind spot and is not detected by all of the multiple periphery monitoring sensors at the start time of the vehicle, using the positions of the detection points stored in the memory.

To estimate distance to a sound source with a characteristic spectrum, normalize the measured spectrum and compare with that predicted by absorption of sound under current atmospheric conditions.

To estimate distance to a sound source with a characteristic spectrum, normalize the measured spectrum and compare with that predicted by absorption of sound under current atmospheric conditions.

An object detection device which determines an amplitude A.sub.r of an ultrasonic wave received by a receiving unit, detects a frequency f.sub.r of the ultrasonic wave, sweeps a frequency f.sub.p of a pulse signal after a predetermined time has elapsed from start of generation of the pulse signal, and determines that the received ultrasonic wave is a reflected wave of the probe wave when the frequency f.sub.r after the amplitude A.sub.r becomes a predetermined reference value or more from start of transmission of the probe wave makes the same change as the frequency f.sub.p. When an ultrasonic wave received by a receiver is determined to be a reflected wave of the probe wave, the object detection unit calculates a distance to an object based on a time from transmission of the probe wave to reception of the ultrasonic wave.

Systems and methods of near surface imaging and hazard detection with increased receiver spacing are provided. The system includes: a first string of one or more acoustic sources, a second string of one or more acoustic sources opposite the first string, a first one or more hydrophones mounted within a predetermined distance of the first string, and a second one or more hydrophones mounted within the predetermined distance of the second string. The first one or more hydrophones records an acoustic shot generated from the first string. The second one or more hydrophones records the acoustic shot and acoustic reflections corresponding to the acoustic shot. The system generates an image from the recorded acoustic shot and the acoustic reflections.

Systems and methods of near surface imaging and hazard detection with increased receiver spacing are provided. The system includes: a first string of one or more acoustic sources, a second string of one or more acoustic sources opposite the first string, a first one or more hydrophones mounted within a predetermined distance of the first string, and a second one or more hydrophones mounted within the predetermined distance of the second string. The first one or more hydrophones records an acoustic shot generated from the first string. The second one or more hydrophones records the acoustic shot and acoustic reflections corresponding to the acoustic shot. The system generates an image from the recorded acoustic shot and the acoustic reflections.

The invention relates to a tug for maneuvering a vessel, comprising at least one proximity sensor in a contact area, the proximity sensor being configured to detect a distance between the contact area and the vessel, and a tug controller unit controlling an approach of the tug towards the vessel based on the detected distance between the contact area and the vessel.