Abstract: A method for detecting a pupil of an eye with an event-based vision sensor, comprises the steps of directing a first light source towards the eye; observing the eye with the event-based vision sensor; and intermittently submitting the event-based vision sensor to a uniform background signal.

Abstract: An apparatus comprising an interface and a processor. The interface may be configured to receive an asynchronous event stream from an event-based sensor. The event stream may comprise a series of pixel locations with a timestamp each generated in response to an autonomous detection by any of a plurality of pixels of the event-based sensor exceeding a threshold. The processor may be configured to detect a characteristic pattern of a flicker event in the event stream and generate an output signal containing a tick result in response to the characteristic pattern of the flicker event. A predicted recurring interval of the flicker event may be determined based on the characteristic pattern. The tick result may comprise future timestamps of the flicker event determined based on the predicted recurring interval for the timestamp of the autonomous detection of a particular one of the pixel locations.

Abstract: A light source for structured light, comprising a plurality of light source elements arranged in an array, wherein the light source elements are configured to be driven in the following two modes:—a calibration mode, wherein only a part of light source elements are adapted to be driven; and—a normal mode, wherein the rest of the light source elements are adapted to be driven.

Abstract: The present disclosure generally relates to systems and methods for three-dimensional image sensing. More specifically, and without limitation, this disclosure relates to systems and methods for detecting three-dimensional images, and using asynchronous image sensors for detecting the same.

Abstract: An event-based sensor has an array of pixels facing a scene. The information to be processed includes events originating from the pixels depending on variations of incident light from the scene. A method includes storing a data structure for a set of pixels of the array, the data structure including, for each pixel of the set, event data associated with a most recent event originating from the pixel. Upon receiving a current event from a first pixel of the array, the method includes retrieving any event data included in the data structure for a group of pixels including the first pixel and a plurality of second pixels adjacent to the first pixel in the array. The current event is labelled based on at least one connectivity criterion between the current event and the most recent event originating from a pixel of the group.

Abstract: The method processes a series of events received asynchronously from an array of pixels of an event-based light sensor. Each event of the series comprises an address of a pixel of the array from which the event is received, and an attribute value depending on incident light sensed by that pixel. The method comprises: storing a data structure in a first memory, the data structure including event data for at least some of the pixels of the array, the event data for a pixel being related to at least one event most recently received from said pixel; during a timeslot, building, in a second memory having a faster access than the first memory, a map for the pixels of the array as the events of the series are received, the map including an information element for each pixel of the array, the information element having one of a plurality of values including a nil value indicating an absence of event during the timeslot; and updating the data structure after the timeslot using the map.

Abstract: In one implementation, a three-dimensional image sensing system is provided that includes at least one processor that detects, from an image sensor, one or more first events based on reflections caused by electromagnetic pulses associated with a plurality of projected line patterns and corresponding to one or more first pixels of the image sensor. The at least one processor also detects, from the image sensor, one or more second events based on the reflections and corresponding to one or more second pixels of the image sensor, identifies a line corresponding to the one or more second events and the one or more first events, calculates three-dimensional rays for the one or more first pixels and the one or more second pixels based on the identified line, and calculates three-dimensional image or more first pixels and the one or more second pixels based on the three-dimensional rays and a plane equation.

Abstract: A system (1) for detecting dynamic secondary objects (55) that have a potential to intersect the trajectory (51) of a moving primary object (50), comprising a vision sensor (2) with a light-sensitive area (20) that comprises event-based pixels (21), so that a relative change in the light intensity impinging onto an event-based pixel (21) of the vision sensor (2) by at least a predetermined percentage causes the vision sensor (2) to emit an event (21a) associated with this event-based pixel (21), wherein the system (1) further comprises a discriminator module (3) that gets both the stream of events (21a) from the vision sensor (2) and information (52) about the heading and/or speed of the motion of the primary object (50) as inputs, and is configured to identify, from said stream of events (21a), based at least in part on said information (52), events (21b) that are likely to be caused by the motion of a secondary object (55), rather than by the motion of the primary object (50).

Abstract: The device for processing data comprises a set of processing nodes and connections between the nodes. Each connection is configured to transmit, to a receiver node, events delivered by an emitter node. Each node is arranged to vary a respective potential value according to events that it receives and to deliver an event when the potential value reaches a predefined threshold. At least one input value of the data processing device is represented by a time interval between two events received by at least one node, and at least one output value of the data processing device is represented by a time interval between two events delivered by at least one node.

Abstract: Disclosed is a method for processing asynchronous signals generated by a light sensor, the sensor having a matrix of pixels, the method including: —receiving the asynchronous signals, each signal being associated with a pixel in a group of pixels in the matrix, each signal including successive events issued by the associated pixel; —upon an occurrence of an event in one of the asynchronous signals, updating an integration value associated to the group by adding an additive value to the integration value; —if the integration value is greater than a predetermined threshold, generating an event in an outputted asynchronous signal.