Abstract: Techniques described herein include utilizing a mobile device as a proxy receiver for a vehicle such that a driver of the vehicle can be presented driving assistance information based on messages received by the mobile device. The mobile device can determine that it is temporally located with the vehicle. If so, the mobile device can be configured to receive messages from other entities (e.g., vehicles, roadside units, traffic signals, and the like) in a vehicle-to-everything network. On reception, the mobile device may determine whether a received data message is relevant to the vehicle. In response to determining that the data message is, in fact, relevant to the vehicle, the mobile device may provide driving assistance information that is generated based at least in part on the information provided in the received data message.

Abstract: Methods, apparatuses, systems, and non-transitory computer-readable media are disclosed for generating pixel values. Such a method may involve filtering light using a plurality of anti-color filters arranged among an array of filters, each of the plurality of anti-color filters corresponding to a rejection band, to generate a plurality of portions of anti-color filtered light. The method may further involve receiving the plurality of portions of anti-color filtered light at a plurality of optical pixel sensors. The method may further involve generating, at the plurality of optical pixel sensors, a plurality of pixel signals based on the plurality of portions of anti-color filtered light. The method may further involve generating a binned anti-color pixel value by combining the plurality of pixel signals.

Abstract: Various aspects of the present disclosure generally relate to a sensor module. In some aspects, an image sensor module may include an array of photon sensors configured to output a first set of signals corresponding to a set of photon sensors of the array of photon sensors. The set of photon sensors may include a row of photon sensors, or a column of photon sensors, of the array of photon sensors. The image sensor module may include a plurality of data selector components configured to receive the first set of signals and output a second set of signals corresponding to a subset of the set of photon sensors.

Abstract: In some aspects, a spectral image capturing device may receive, from a filter array, visible light and infrared light, wherein the filter array includes a quantity of color filters to block the infrared light and pass the visible light and a quantity of infrared filters to block the visible light and pass the infrared light. The spectral image capturing device may produce, using an image sensor that includes an array of pixel sensors, a spectral image based at least in part on the visible light and the infrared light passed by the filter array. Numerous other aspects are provided.

Abstract: In some aspects, a user device may receive, from a vision sensor of a user device, first image data associated with a first set of images. The user device may determine, using an image processing model, that a set of images depict a particular type of eye activity of an eye of a user. The user device may cause, based at least in part on determining that the first set of images depict the particular type of eye activity, a power level of a camera of the user device to be reduced.

Abstract: An example image capture device includes memory configured to store display content and image information received from a camera sensor, the camera sensor being configured to receive light through at least a portion of a display. The image capture device includes one or more processors coupled to the memory. The one or more processors are configured to determine a camera sensor blanking period. The one or more processors are configured to control the display to display content via one or more of a plurality of pixels in the at least a portion of the display during the camera sensor blanking period. The one or more processors are configured to control the display to not display content via the one or more of the plurality of pixels outside of the camera sensor blanking period.

Abstract: Methods, apparatuses, systems, and non-transitory computer-readable media are disclosed for generating pixel values. Such a method may involve filtering light using a plurality of anti-color filters arranged among an array of filters, each of the plurality of anti-color filters corresponding to a rejection band, to generate a plurality of portions of anti-color filtered light. The method may further involve receiving the plurality of portions of anti-color filtered light at a plurality of optical pixel sensors. The method may further involve generating, at the plurality of optical pixel sensors, a plurality of pixel signals based on the plurality of portions of anti-color filtered light. The method may further involve generating a binned anti-color pixel value by combining the plurality of pixel signals.

Abstract: Disclosed is a method and apparatus for operating a first device. The first device obtains environment information in proximity to the first device and receives one or more communication messages from a second device and the message(s) includes relevance criteria, wherein the relevance criteria indicates one or more devices, one or more sets of device characteristics, one or more lanes, one or more intersections or areas, one or more pedestrian paths or bicycle paths, one or more signal characteristics from the second device or any combination thereof. The first device determines whether the one or more communication messages are relevant to the first device based on the relevance criteria and the environment information and performs an operation in response to the determination of whether the one or more communication messages are relevant.

Abstract: In one example, an image sensor module comprises one or more covers having at least a first opening and a second opening, a first lens mounted in the first opening and having a first field of view (FOV) centered at a first axis having a first orientation, a second lens mounted in the second opening and having a second FOV centered at a second axis having a second orientation different from the first orientation, a first image sensor housed within the one or more covers and configured to detect light via the first lens, and a second image sensor housed within the one or more covers and configured to detect light via the second lens. The first image sensor and the second image sensor are configured to provide, based on the detected light, image data of a combined FOV larger than each of the first FOV and the second FOV.

Abstract: Techniques are provided for responding to congestion-sensitive preemptive data download requests in a V2X network. An example method for downloading data on a mobile device includes determining an estimated time of arrival at a station based at least in part on almanac information, generating a data download request based at least in part on the estimated time of arrival at the station, transmitting the data download request, and receiving one or more data packets from the station based on the data download request.

Abstract: Techniques described herein include utilizing a mobile device as a proxy receiver and/or transmitter for a vehicle in a V2X network. In some embodiments, the mobile device associated mobile device capabilities may be configured to obtain vehicle capabilities and store such data in memory at the mobile device. The mobile device may obtain any suitable combination of a reception credential and one or more transmission credentials. In some embodiments, the one or more transmission credentials may be generated by a credential authority based at least in part on determining that the vehicle capabilities and mobile device capabilities indicate that the sensor(s) and/or processing resources of the vehicle and/or mobile device meet transmission requirement thresholds for the network. The mobile device may subsequently transmit any suitable data message on behalf of the vehicle using at least one of the transmission credentials.

Abstract: Techniques described herein include utilizing a mobile device as a proxy receiver for a vehicle in a V2X environment. In some embodiments, the mobile device may be configured to obtain vehicle and/or occupant metadata and store such data in memory at the mobile device. At a subsequent time, the mobile device may receive a V2X data message from a remote device (e.g., a V2X capable vehicle, another proxy device, a roadside unit, or any suitable device of the V2X environment that is different from the mobile device). The mobile device may process the data message based at least in part on the vehicle metadata and/or occupant metadata and perform one or more operations in response to processing the data message.

Abstract: Techniques described herein include utilizing a mobile device as a proxy receiver for a vehicle such that a driver of the vehicle can be presented driving assistance information based on messages received by the mobile device. The mobile device can determine that it is temporally located with the vehicle. If so, the mobile device can be configured to receive messages from other entities (e.g., vehicles, roadside units, traffic signals, and the like) in a vehicle-to-everything network. On reception, the mobile device may determine whether a received data message is relevant to the vehicle. In response to determining that the data message is, in fact, relevant to the vehicle, the mobile device may provide driving assistance information that is generated based at least in part on the information provided in the received data message.

Abstract: Disclosed embodiments pertain to a method for determining position information of a target vehicle relative to an ego vehicle. The method may comprise: obtaining, by at least one image sensor, first images of one or more target vehicles and classifying at least one target vehicle from the one or more target vehicles based on the one or more first images. Further, vehicle characteristics corresponding to the least one target vehicle may be obtained based on the classification of the least one target vehicle. Position information of the at least one target vehicle relative to the ego vehicle may be determined based on the vehicle characteristics.

Abstract: Disclosed is a method and apparatus for operating a first device. The first device obtains environment information in proximity to the first device and receives one or more communication messages from a second device and the message(s) includes relevance criteria, wherein the relevance criteria indicates one or more devices, one or more sets of device characteristics, one or more lanes, one or more intersections or areas, one or more pedestrian paths or bicycle paths, one or more signal characteristics from the second device or any combination thereof. The first device determines whether the one or more communication messages are relevant to the first device based on the relevance criteria and the environment information and performs an operation in response to the determination of whether the one or more communication messages are relevant.

Abstract: Systems, methods, and non-transitory media are provided for low-power visual tracking systems. An example method can include receiving one or more images captured by each image sensor system from a set of image sensor systems on a first device, the one or more images capturing a set of patterns on a second device, wherein the first device has lower power requirements than the second device, the set of patterns having a predetermined configuration on the second device; determining, from the one or more images captured by each image sensor system, a set of pixels corresponding to the set of patterns on the second device; determining, based on the set of pixels corresponding to the set of patterns, a location and relative pose in space of each pattern; and determining, based on the location and relative pose of each pattern, a pose of the first device relative to the second device.

Abstract: Apparatus, methods, systems, and instructions stored on computer-readable medium are presented for performing classification. A hardware engine may be configurable to implement multiple stages of a cascade classifier including a first stage and a second stage. The hardware engine may be configurable to (a) access a value indicative of whether to accumulate, and (b) responsive to the value indicative of whether to accumulate meeting a continue evaluation condition, (i) access a first numeric value obtained from evaluation of the first stage of the cascade classifier, (ii) accumulate the first numeric value with a second numeric value obtained from evaluation of the second stage of the cascade classifier to generate an accumulated value, and (iii) utilize the accumulated value to determine an outcome for the second stage of the cascade classifier.

Abstract: A method for operating a low-bitwidth neural network includes converting a first activation to a non-negative value (e.g., absolute value). The first activation has a signed value. The sign of the activation is used to select a weight value. A product of the non-negative activation and the selected weight value is computed to determine a next activation. The next activation is quantized and supplied to a subsequent layer of the low-bitwidth neural network.

Abstract: Methods, systems, and devices for multi-device object tracking and localization are described. A device may transmit a request message associated with a target object to a set of devices within a target area. The request message may include an image of the target object, a feature of the target object, or at least a portion of a trained model associated with the target object. Subsequently, the device may receive response messages from the set of devices based on the request message. The response messages may include a portion of a captured image including the target object, location information of the devices, a pose of the devices, or temporal information of the target object detected within the target area by the devices. In some examples, the device may determine positional information with respect to the target object based on the one or more response messages.

Abstract: Methods, systems, computer-readable media, and apparatuses for entity detection within images are presented. One example method includes receiving an image of a scene; detecting one or more bodies within the image; determining one or more regions within the image based on the detected one or more bodies; detecting one or more heads within the one or more regions; and determining entities within the one or more regions based on the detected one or more heads.