Abstract: A method for classifying objects in a vehicle's surroundings includes receiving, on a pixel-by-pixel basis, a plurality of measurements associated with LIDAR detection results for a plurality of pixels of a field of view (FOV) of a LIDAR system configured to detect objects in at least part of the vehicle's surroundings, the measurements including at least one of: a presence indication, a surface angle, object surface physical composition, and a reflectivity level, receiving, on the pixel-by-pixel basis, at least one confidence level associated with each received measurement of the plurality of measurements, accessing at least one memory configured to store classification information for classifying a plurality of objects, and associating a plurality of pixels with a particular object based on the classification information and the received measurements with the at least one associated confidence level.

Abstract: Apparatuses, systems, methods, and/or techniques to identify anomalies in a computer network topology. In at least one embodiment, a first portion of a computer network is used to train a model and the train model is applied to a second portion of the network to predict link connections in the second portion. In at least one embodiment, such predictions are used to identify topology amomalies.

Abstract: In a LIDAR system, during at least one scanning cycle, light is projected at a first light intensity toward a first region of the field of view, and an object in the first region is identified based on the reflections of the light projected at the first light intensity during the at least one scanning cycle. A determination is made that the object is located at a distance greater than a distance threshold from the LIDAR system and correspond to a signal-to-noise ratio below a desired level, and a region of interest containing the object is defined. Light allocation to the defined region of interest is increased relative to other regions in the field of view by causing the light to be projected toward the defined region of interest at a second light intensity, higher than the first light intensity.

Abstract: A LIDAR system includes at least one light source and at least one sensor having a plurality of detection elements configured to detect light reflected from objects in a field of view. At least one processor is configured to control activation of the at least one light source for illuminating the field of view; dynamically allocate a first subset of the plurality of detection elements to constitute a first pixel; dynamically allocate a second subset of the plurality of detection elements to constitute a second pixel; receive, from the at least one sensor, reflections signals indicative of light reflected from objects in the field of view; and following processing of the first pixel and the second pixel, dynamically allocate a third subset of the plurality of detection elements to constitute a third pixel, and a fourth subset of the plurality of detection elements to constitute a fourth pixel.

Abstract: A method for classifying objects in a vehicle's surroundings includes receiving, on a pixel-by-pixel basis, a plurality of measurements associated with LIDAR detection results for a plurality of pixels of a field of view (FOV) of a LIDAR system configured to detect objects in at least part of the vehicle's surroundings, the measurements including at least one of: a presence indication, a surface angle, object surface physical composition, and a reflectivity level, receiving, on the pixel-by-pixel basis, at least one confidence level associated with each received measurement of the plurality of measurements, accessing at least one memory configured to store classification information for classifying a plurality of objects, and associating a plurality of pixels with a particular object based on the classification information and the received measurements with the at least one associated confidence level.

Abstract: A specialized audio/instrument cable with built-in digital signal processing capabilities that adds digital audio sampling capabilities that allows the user to trigger synthesized sounds or virtual musical instruments from within the cable itself to affect the sound generated from an instrument or microphone such that the cable is the only connection needed between the instrument or microphone and an output device. Using voice recognition, the specialized cable can select an audio effects chain algorithm and/or sampled sound algorithm extrapolated from a musical digital audio fingerprint (MDAF) created from a desired musician's instrument to alter the sound of the input instrument's audio.

Abstract: A specialized audio/instrument cable with built-in digital signal processing capabilities that adds digital audio sampling capabilities that allows the user to trigger synthesized sounds or virtual musical instruments from within the cable itself to affect the sound generated from an instrument or microphone such that the cable is the only connection needed between the instrument or microphone and an output device. Using voice recognition, the specialized cable can select an audio effects chain algorithm and/or sampled sound algorithm extrapolated from a musical digital audio fingerprint (MDAF) created from a desired musician's instrument to alter the sound of the input instrument's audio.

Abstract: A system includes at least one processor configured to detect, based on point cloud information, portions of a particular object, and determine, based on the detected portions, at least a first portion having a first reflectivity corresponding to a license plate, and at least two additional spaced-apart portions corresponding to locations on the particular object other than a location of the first portion. The at least two additional portions have reflectivity substantially lower than the first reflectivity. The at least one processor is further configured to classify the particular object as a vehicle, based on a spatial relationship and a reflectivity relationship between the first portion and the at least two additional portions.

Abstract: A vehicle-assistance system for classifying objects in a vehicle's surroundings. The system includes: at least one memory configured to store classification information for classifying a plurality of objects; and at least one processor configured to receive a plurality of detection results associated with light detection and ranging system (LIDAR) detection results, each detection result including location information, and further information indicative of at least two of the following detection characteristics: object surface reflectivity; temporal spreading of signal reflected from the object; object surface physical composition; ambient illumination measured at a LIDAR dead time; difference in detection information from a previous frame; and confidence level associated with another detection characteristic.

Abstract: A system includes at least one processor configured to detect, based on point cloud information, portions of a particular object, and determine, based on the detected portions, at least a first portion having a first reflectivity corresponding to a license plate, and at least two additional spaced-apart portions corresponding to locations on the particular object other than a location of the first portion. The at least two additional portions have reflectivity substantially lower than the first reflectivity. The at least one processor is further configured to classify the particular object as a vehicle, based on a spatial relationship and a reflectivity relationship between the first portion and the at least two additional portions.

Abstract: A LIDAR system or a vehicle may include at least one processor configured to perform a method to detect objects in a field of view. The method may include controlling at least one LIDAR light source in a manner enabling light flux of the at least one LIDAR light source to vary over a plurality of scans of a field of view; receiving, from a group of detectors, a plurality of input signals indicative of reflections of light projected from the field of view; detecting a possible existence of an object in the background area based on first input signals associated with a first scanning cycle; detecting a possible existence of the object based on second input signals associated with a second scanning cycle; and aggregating the first and second input signals to detect an existence of the object at an object-existence-certainty level higher than a threshold.

Abstract: A wireless controller that allows a musician to wirelessly switch between audio effect presets, loops, and/or songs which are stored in a specialized audio/instrument cable or adapter. The wireless controller can be located in the same place as (or incorporated into) a digital guitar tuner on a guitar headstock allowing the musician to operate the wireless controller in a familiar location while switching between audio effect presets, loops, and/or songs by tapping on small buttons.

Abstract: A vehicle-assistance system for classifying objects in a vehicle's surroundings. The system includes: at least one memory configured to store classification information for classifying a plurality of objects; and at least one processor configured to receive a plurality of detection results associated with light detection and ranging system (LIDAR) detection results, each detection result including location information, and further information indicative of at least two of the following detection characteristics: object surface reflectivity; temporal spreading of signal reflected from the object; object surface physical composition; ambient illumination measured at a LIDAR dead time; difference in detection information from a previous frame; and confidence level associated with another detection characteristic.

Abstract: A LIDAR system for use in a vehicle is provided. The LIDAR system may include at least one processor configured to control at least one light source for illuminating a field of view and scan a field of view by controlling movement of at least one deflector at which the at least one light source is directed. The at least one processor may also be configured to receive, from at least one sensor, reflections signals indicative of light reflected from an object in the field of view. The at least one processor may further be configured to detect at least one temporal distortion in the reflections signals, and determine from the at least one temporal distortion an angular orientation of at least a portion of the object.

Abstract: In some embodiments, a LIDAR system may include at least one processor configured to control at least one light source for projecting light toward a field of view and receive from at least one first sensor first signals associated with light projected by the at least one light source and reflected from an object in the field of view, wherein the light impinging on the at least one first sensor is in a form of a light spot having an outer boundary. The processor may further be configured to receive from at least one second sensor second signals associated with light noise, wherein the at least one second sensor is located outside the outer boundary; determine, based on the second signals received from the at least one second sensor, an indicator of a magnitude of the light noise; and determine, based on the indicator the first signals received from the at least one first sensor and, a distance to the object.

Abstract: A specialized audio/instrument cable with built-in digital signal processing capabilities that adds digital audio sampling capabilities that allows the user to trigger synthesized sounds or virtual musical instruments from within the cable itself to affect the sound generated from an instrument or microphone such that the cable is the only connection needed between the instrument or microphone and an output device. Using voice recognition, the specialized cable can select an audio effects chain algorithm and/or sampled sound algorithm extrapolated from a musical digital audio fingerprint (MDAF) created from a desired musician's instrument to alter the sound of the input instrument's audio.

Abstract: The present disclosure provides systems and methods that use LIDAR technology. In one implementation, a LIDAR system includes at least one processor configured to: control activation of at least one light source for illuminating a field of view; receive from at least one sensor a reflection signal associated with an object in the field of view, a time lapse between light leaving the at least one light source and reflection impinging on the least one sensor constituting a time of flight; and alter an amplification parameter associated with the at least one sensor during the time of flight.

Abstract: A wireless controller that allows a musician to wirelessly switch between audio effect presets, loops, and/or songs which are stored in a specialized audio/instrument cable or adapter. The wireless controller can be located in the same place as (or incorporated into) a digital guitar tuner on a guitar headstock allowing the musician to operate the wireless controller in a familiar location while switching between audio effect presets, loops, and/or songs by tapping on small buttons.

Abstract: A specialized audio/instrument cable adapter with built-in digital signal processing capabilities that adds user-defined audio effects (such as reverb, delay, chorus and/or distortion) from within the cable adapter itself to affect the sound generated from an instrument or microphone such that the cable adapter (with a instrument/microphone cable) is the only connection needed between the instrument or microphone and an output device (such as an amplifier, PA, powered speaker, music mixer, or a recording device). The audio effects used by the cable adapter can be changed via (i) an app from a smartphone, tablet, computer or other electronic device; (ii) a wireless controller that attaches to the instrument; (iii) a pedal, and/or (iv) any other type of wireless controller that has the ability to communicate with a smartphone/tablet/computer or other electronic device.

Abstract: A LIDAR system is provided. The LIDAR system may include at least one processor configured to: control at least one light deflector to deflect light from a plurality of light sources towards a region in a field of view while the at least one light deflector is in a particular instantaneous position; control the at least one light deflector such that while the at least one light deflector is at the particular instantaneous position, light reflections from the field of view are received on at least one common area along a plurality of return paths to at least one sensor; and receive from at least one of a plurality of light detectors included in the at least one sensor, signals associated with beam spots of the received light reflections, wherein each of the beam spots impinges on more than one of the plurality of light detectors.