The present invention concerns a method and apparatus for the modulation of an acoustic field for providing tactile sensations. A method of creating haptic feedback using ultrasound is provided. The method comprises the steps of generating a plurality of ultrasound waves with a common focal point using a phased array of ultrasound transducers, the common focal point being a haptic feedback point, and modulating the generation of the ultrasound waves using a waveform selected to produce little or no audible sound at the haptic feedback point.

To provide a mechanism for selectively taking an external sound from an appropriate sound source into an internal space of a moving object. An information processing apparatus including an acquisition unit configured to acquire an audio signal from a sound source existing outside a moving object, a generation unit configured to generate an audio signal from a target sound source at a distance from the moving object, the distance being a distance according to a speed of the moving object, of the sound sources, on the basis of the audio signal acquired by the acquisition unit, and an output control unit configured to output the audio signal generated by the generation unit toward an internal space of the moving object.

To provide a mechanism for selectively taking an external sound from an appropriate sound source into an internal space of a moving object. An information processing apparatus including an acquisition unit configured to acquire an audio signal from a sound source existing outside a moving object, a generation unit configured to generate an audio signal from a target sound source at a distance from the moving object, the distance being a distance according to a speed of the moving object, of the sound sources, on the basis of the audio signal acquired by the acquisition unit, and an output control unit configured to output the audio signal generated by the generation unit toward an internal space of the moving object.

A seabed object detection system is provided. The system can include a receiver array including streamers. The system can include a plurality of receivers coupled with the streamers. The system can include a receiver array cross-cable to couple with the first streamer and to couple with the second streamer. The receiver array cross-cable can be disposed at a first depth of a body of water. The system can include a first diverter and a second diverter coupled with the receiver array cross-cable. The system can include a source array including a first source and a second source. The source array can be coplanar to the receiver array. The system can include a source array cross-cable to couple with the first source and to couple with the second source, the source array cross-cable disposed at a second depth of the body of water.

A seabed object detection system is provided. The system can include a receiver array including streamers. The system can include a plurality of receivers coupled with the streamers. The system can include a receiver array cross-cable to couple with the first streamer and to couple with the second streamer. The receiver array cross-cable can be disposed at a first depth of a body of water. The system can include a first diverter and a second diverter coupled with the receiver array cross-cable. The system can include a source array including a first source and a second source. The source array can be coplanar to the receiver array. The system can include a source array cross-cable to couple with the first source and to couple with the second source, the source array cross-cable disposed at a second depth of the body of water.

The present disclosure relates to an apparatus and method for monitoring a space using a three-dimensional acoustic web, and to a method of emitting a plurality of acoustic signals, forming a three-dimensional acoustic web in a monitoring target space based on interference between acoustic waves, and recognizing a situation of the monitoring target space based on a change in measured acoustic signals.

A method for classifying objects in the environment of a vehicle with the aid of ultrasonic sensors. In the method, ultrasonic signals are emitted, ultrasonic echoes are received from objects in the environment, and the position of a reflection point relative to the ultrasonic sensors is determined using lateration, reflection points being continuously determined and the reflection points being allocated to objects in the environment. Dispersion parameters relating to the position of the reflection points allocated to an object are determined and used as a classification criterion with regard to the type of object. A driver assistance system and a vehicle including such a driver assistance system, are also described.

A method and system is disclosed for tuning a machine learning classifier. An object class requirement may be provided and include rank thresholds. The object class requirements may also include a range goal that defines a minimum distance from the object the machine learning algorithm should not provide false positive results. A base classifier may be trained using a weighted loss function that includes one or more weight values that are computed using the one or more object class requirements. An output of the weighted loss function may be evaluated using an objective function which may be established using the one or more object class requirements. The one or more weights may also be re-tuned using the weighted loss function if the output of the weighted loss function does not converge within a predetermined loss threshold.

A system and method is disclosed for classifying one or more objects within a vicinity of a vehicle. Ultra-sonic data may be received from a plurality of ultra-sonic sensors and may comprise echo signals indicating one or more objects that are proximally located within a vicinity of a vehicle. One or more features may be calculated from the ultra-sonic data using one or more signal processing algorithms unique to each of the plurality of ultra-sonic sensors. The one more features may be combined using a second-level signal processing algorithm to determine geometric relations for the one or more objects. The one or more features may then be statistically aggregated at an object level. The one or more objects may then be classified using a machine learning algorithm that compares an input of each of the one or more features to a trained classifier.

The invention relates to a method for operating a distance sensor (4) of a vehicle (1), in which method a plurality of successive measurement cycles are carried out in an operating mode, wherein, in each measurement cycle, a transmission signal is transmitted, a reception signal (Rx1 to Rx8) is determined on the basis of the transmission signal reflected in a surrounding region (9) of the vehicle (1), the object (8) is classified, and the transmission signal is selected from a plurality of predefined transmission signals in accordance with how the object (8) is classified, wherein the transmission signal is selected in accordance with an assignment rule determined in a learning mode, said assignment rule describing an assignment of the plurality of predefined transmission signals to classes of objects (8), wherein, in each measurement cycle, the object (8) is classified on the basis of the reception signal (Rx1 to Rx8) and the transmission signal is selected in accordance with how the object (8) is classified for subsequent measurement cycles.