A vehicular alert system a microphone disposed at a vehicle. The vehicular alert system, responsive to processing of audio data captured by the microphone, determines an audio event occurring external of the vehicle. The vehicular alert system, responsive to determination that the audio event occurred external of the vehicle, generates an alert for an occupant of the vehicle. The alert includes vibration of a seat of the vehicle and the alert includes a visual alert at a display screen disposed within the vehicle and viewable by a driver of the vehicle. The visual alert indicates direction toward the determined audio event.

A vehicular alert system a microphone disposed at a vehicle. The vehicular alert system, responsive to processing of audio data captured by the microphone, determines an audio event occurring external of the vehicle. The vehicular alert system, responsive to determination that the audio event occurred external of the vehicle, generates an alert for an occupant of the vehicle. The alert includes vibration of a seat of the vehicle and the alert includes a visual alert at a display screen disposed within the vehicle and viewable by a driver of the vehicle. The visual alert indicates direction toward the determined audio event.

A system includes at least one processor and at least one memory storing program instructions that, when executed by the at least one processor, cause the system to send an acoustic ranging transmitter signal between a plurality of calibration reference positions and at least one anchor point, receive an acoustic ranging receiver signal associated with the acoustic ranging transmitter signal and with distances between the plurality of calibration reference positions and the at least one anchor point, and estimate a speed of sound based on the acoustic ranging receiver signal.

This application provides an in-vehicle user positioning method, an in-vehicle interaction method, a vehicle-mounted apparatus, and a vehicle. In an example, the in-vehicle user positioning method includes: obtaining a sound signal collected by an in-vehicle microphone; in response to that a first voice command is recognized from the sound signal, determining a first user who sends the first voice command; and determining an in-vehicle location of the first user based on a mapping relationship between an in-vehicle user and an in-vehicle location.

Example techniques relate to playback based on acoustic signals in a system including a first network device and a second network device. A first network device may detect a presence of a user using a camera and/or infrared sensors. The first network device sends, in response to detecting the presence of the user, a particular signal via the first network interface. The second network device receives data corresponding to the particular signal and plays back an audio output corresponding to the particular signal.

Example techniques relate to playback based on acoustic signals in a system including a first network device and a second network device. A first network device may detect a presence of a user using a camera and/or infrared sensors. The first network device sends, in response to detecting the presence of the user, a particular signal via the first network interface. The second network device receives data corresponding to the particular signal and plays back an audio output corresponding to the particular signal.

An acoustic-based Direction of Arrival (DoA) system uses acoustic information to determine the direction of incoming sound, such as a person talking. The direction of the sound is then used to focus a laser-based time of flight (ToF) system to narrow the area of laser illumination, improving the signal to noise ratio because laser illumination is focused on the direction of the sound. The DoA system also provides elevation information pertaining to the source of the sound, to further narrow the required field of view of the laser ToF system.

A device for estimating Direction of Arrival (DOA) of sound from Q≥1 sound sources is provided. The device is configured to obtain a phase difference matrix, which includes measured phase difference values, each of the measured phase difference values being a measured value of a phase difference between two microphone units for a frequency bin in a range of frequencies of the sound. The device is further configured to generate a replicated phase difference matrix by replicating the measured phase difference values to other potential sinusoidal periods, calculate a DOA value for each phase difference value in the replicated phase difference matrix, and determine, as Q DOA results, the Q most prominent peak values in a histogram generated based on the calculated DOA values.

In some embodiments, an apparatus can include a cart for a surgical robotic arm having a coupler releasably coupleable to a coupling site on a surgical table. The cart can include a base and a first engagement feature. The base can be freely movably on a support surface between a first location remote from the surgical table and a second location adjacent the surgical table. The first engagement feature can be configured for engagement with a second engagement feature associated with the surgical table such that, when the first engagement feature and the second engagement feature are engaged, the coupler of the robotic am is disposed in a position in which the coupler of the robotic arm can be engaged by the coupler of the surgical table.

A device has a microphone array that acquires sound data and a camera that acquires image data. A portion of the device may be moveable by one or more actuators. Responsive to the user, the portion of the device is moved toward an estimated direction of the user. The estimated direction is based on sensor data including the sound data and the image data. First variance values for individual sound direction values are calculated. Data derived from the image data or data from other sensors may be used to modify the first variance values and determine second data comprising second variances. The second data may be processed to determine the estimated direction of the user. For example, the second data may be processed by both a forward and a backward Kalman filter, and the output combined to determine an estimated direction toward the user.