A navigation system for airborne vehicles without GNSS data uses at least three microphones positioned at or near a base station. The microphones capture sounds emitted by the airborne vehicle and these sounds are processed to calculate the vehicle's location. The vehicle then makes a series of maneuvers in response to the information received from the base station.

The described aspects and implementations enable privacy-respecting detection, separation, and localization of sounds in vehicle environments. The techniques include obtaining, using audio detector(s) of a vehicle, a sound recording that includes a plurality of elemental sounds (ESs) in a driving environment of the vehicle, and processing, using a sound separation model, the sound recording to separate individual ESs of the plurality of ESs. The techniques further include identifying a content of individual ESs and causing a driving path of the vehicle to be modified in view of the identified content of the individual ESs. Further techniques include rendering speech imperceptibly by redacting temporal portions of the speech, using sound recognition models to identify and discard recordings of speech, and driving at speeds that exceed threshold speeds at which speech becomes imperceptible from noise masking.

An ultrasonic system for determining the location of a driver of a vehicle, includes a hand-held device with at least a first ultrasonic sensor, wherein the first ultrasonic sensor has at least one transmitter, and a motor vehicle having a multiplicity of second ultrasonic sensors, wherein the second ultrasonic sensors each have at least one receiver for receiving signals of the first ultrasonic sensor. A method is disclosed for determining the location of a driver of a vehicle.

Auto-tuning covariances associated with a set of noise models for a variety of sensor modalities and/or perception components such that the covariances are leveled respective to one another may include whitening the covariances and/or error models and determining scalars to apply to the covariances. Determining these scalars may comprise using the residuals that result from generating the set of noise model (e.g., such as may be determined as part of least squares estimation) along with the hat matrix of the process model to determine the scalars. The covariances may iteratively be updated until the scalar adjustments converge or until another end condition is met.

Auto-tuning covariances associated with a set of noise models for a variety of sensor modalities and/or perception components such that the covariances are leveled respective to one another may include whitening the covariances and/or error models and determining scalars to apply to the covariances. Determining these scalars may comprise using the residuals that result from generating the set of noise model (e.g., such as may be determined as part of least squares estimation) along with the hat matrix of the process model to determine the scalars. The covariances may iteratively be updated until the scalar adjustments converge or until another end condition is met.

Techniques for single unit outdoor gunshot detection are disclosed. Near-infrared band sensing collects infrared information using a gunshot sensor device. The collecting is performed by at least two infrared sensors in a single gunshot sensor device unit. Acoustic information is collected using the gunshot sensor device. The collecting acoustic information is performed by at least two acoustic sensors also co-located in the single gunshot sensor device unit. The infrared sensors and acoustic sensors provide a 180 gunshot detection field. At least two additional infrared sensors and at least two additional acoustic sensors are added to the gunshot sensor device to augment the collecting. The additional infrared sensors and acoustic sensors enable a 360 gunshot detection field. A gunshot is detected using the gunshot sensor device. The detecting is based on analysis of the infrared and the acoustic information. The gunshot sensor device is powered using a solar panel.

Techniques for single unit outdoor gunshot detection are disclosed. Near-infrared band sensing collects infrared information using a gunshot sensor device. The collecting is performed by at least two infrared sensors in a single gunshot sensor device unit. Acoustic information is collected using the gunshot sensor device. The collecting acoustic information is performed by at least two acoustic sensors also co-located in the single gunshot sensor device unit. The infrared sensors and acoustic sensors provide a 180 gunshot detection field. At least two additional infrared sensors and at least two additional acoustic sensors are added to the gunshot sensor device to augment the collecting. The additional infrared sensors and acoustic sensors enable a 360 gunshot detection field. A gunshot is detected using the gunshot sensor device. The detecting is based on analysis of the infrared and the acoustic information. The gunshot sensor device is powered using a solar panel.

In one aspect, a first device may include at least one processor and storage accessible to the at least one processor. The storage may include instructions executable by the at least one processor to receive input from at least one microphone, with the input indicating an audible notification from a second device different from the first device. The instructions may then be executable to, based on the input from the at least one microphone, provide an output indicating a location of the second device and/or an identifier of the second device.

In one aspect, a first device may include at least one processor and storage accessible to the at least one processor. The storage may include instructions executable by the at least one processor to receive input from at least one microphone, with the input indicating an audible notification from a second device different from the first device. The instructions may then be executable to, based on the input from the at least one microphone, provide an output indicating a location of the second device and/or an identifier of the second device.