Abstract: A system comprising a computer that includes a processor and a memory. The memory stores instructions executable by the processor to actuate a digital display on a vehicle to display a first set of content for more than an amount of time determined to render the first set of content detectable for a human, and to actuate the digital display to display a second set of content immediately after and immediately before the first set of content for less than the amount of time.

Abstract: A method of identifying a selected pollination window in a Poaceae crop by monitoring one or more environmental parameters and identifying a selected pollination window based upon the monitored parameters. The correct selection of parameters has been shown to markedly increase seed set, yield, and/or other desirable characteristics, including but not limited to preferred content of oil, starch, protein, and/or other nutritional components. Parameters may include one or more of: temperature, relative humidity, and vapor pressure deficit.

Abstract: A computer-implemented logistics method of arranging delivering of items to recipients situated at different recipient locations, comprising: recording items received at a distribution centre, clustering the records according to location of the recipient, locating a hub position for each cluster, further clustering the, marking the items according to their cluster and delivery order, allowing transfer of the items into the compartments in the delivery order; instructing the agent to deliver the items by providing navigation instructions.

Abstract: A side airbag assembly includes a seatback and a side airbag supported by the seatback. The side airbag has a first panel and a second panel. The first panel and the second panel have an expandable region including an inflation chamber. The first panel and the second panel are connected to each other defining a substantially non-expandable region. The first panel and the second panel are connected to each other around an opening. The opening extends through the first panel and the second panel and the opening is between and adjacent to the substantially non-expandable region and the expandable region.

Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to determine at least one of: a brake threat number of a host vehicle, a brake threat number of a target vehicle, a steering threat number, or an acceleration threat number and to actuate the host vehicle to change at least one of direction or speed based on at least one of the threat numbers. The brake threat number of the host vehicle is based on a predicted lateral distance between the host vehicle and the target vehicle. The brake threat number of the target vehicle is based on a velocity of the target vehicle adjusted by an acceleration of the target vehicle and an actuation time of a brake. The steering threat number is a lateral acceleration being a predicted lateral distance adjusted by an actuation time of a steering component. The acceleration threat number is based on a predicted lateral offset adjusted by a predicted heading angle of the host vehicle.

Abstract: An assisted perception (AP) module comprises an attachment mechanism to attach the AP module to a helmet, and a housing to integrate modular components of the AP module. The housing comprises a front portion and side portion, the front portion located over an eye of the user. The modular components include sensors to collect information about an environment as sensor data, and processors located in the side portion. The processors execute one or more assisted perception engines that process the sensor data from the sensors into enhanced characterization data. Output devices electronically communicate the enhanced characterization data to a user, wherein at least one of the output devices protrudes from the front portion of the housing in front of an eye of the user.

Abstract: A computer includes a processor and a memory, the memory including instructions executable by the processor to predict a collision time between a corner point of a host vehicle and a target vehicle, predict a reach time for the corner point of the host vehicle to reach the target vehicle based on a predicted relative heading angle between the host vehicle and the target vehicle, and determine a threat number based on the lower of the collision time and the reach time.

Abstract: The present invention generally relates to herbicidal compositions such as aqueous herbicidal concentrate compositions and application mixtures. For example, the present invention relates to aqueous herbicidal concentrate compositions comprising an encapsulated acetamide herbicide and a second, unencapsulated herbicide. The present invention also relates to various processes for preparing and using these herbicidal compositions. The present invention further relates to herbicidal concentrate compositions having a high loading of an auxin herbicide and methods of preparing these concentrate compositions.

Abstract: A computer comprises a memory and a processor. The memory stores instructions executable by the processor to detect an occupant in a seat in a vehicle, the seat having a seat position in the vehicle, to receive a request for cargo loading of the vehicle at a specified loading location, to determine a vehicle orientation and path, including approaching the specified location oriented one of forward-facing and rear-facing, to stop the vehicle so that the seat position overlaps the loading location, and to operate the vehicle according to the orientation and path.

Abstract: A computer-implemented logistics method of arranging delivering of items to recipients situated at different recipient locations, comprising: recording items received at a distribution centre, clustering the records according to location of the recipient, locating a hub position for each cluster, further clustering the records, creating an individual schedule for each agent with events and locations and timings for the events, and instructing the agent to deliver the items by providing individual schedule information.

Abstract: A sensor assembly includes a housing having a front chamber and a rear chamber fluidly isolated from the front chamber. The rear chamber includes a rear sensor window and the front chamber includes a front sensor window. The rear chamber includes a rear air inlet and a rear air outlet. The rear air outlet is aimed at the rear sensor window. The front chamber includes a front air inlet and a front air outlet. The front air inlet is aimed at the front sensor window.

Abstract: A hitch assist system for a vehicle comprises an imaging system that receives image data of a hitch ball and trailer coupler, and a controller. The controller estimates a distance between a point on each of the hitch ball and trailer coupler. The points are parallel to a plane defined by a surface beneath the hitch ball and trailer coupler. The controller tracks the distance with a pixel-domain comparison between each of the points responsive to the distance being less than a first threshold, and maneuvers, via steering and braking systems, the vehicle along a path such that the distance is indicative of the points being coaxial.

Abstract: A computer can be programmed to determine that an impact to a wheel of a vehicle exceeds an impact severity threshold and transmit a message describing the impact via a vehicle communications network. An electronic controller can be programmed to make an adjustment to monitoring the component based on receiving the message in the electronic controller.

Abstract: A system comprising a storage box; an electronic lock; and an electronic control device configured to control the lock. The system further comprises a microprocessor secured to the box and that is configured to receive location, authentication, and current time information to provide an enablement command to the electronic control device to open the electronic lock based on the current time, the location information, and the authentication information, and to provide a disablement command to the electronic control device to prevent opening the electronic lock based on the information received.

Abstract: In a system for video data capture and sharing client devices may include one or more video cameras and sensors to capture video data and to generate associated metadata. A cloud-based component may receive metadata from the client devices and requests for sharing video data captured by other client devices. Client devices with requested video data are identified by matching their provided metadata to the sharing request and by their response to an image search query for an object of interest specified in the request.

Abstract: Assay cartridges are described that have purification, reaction, and detection zones and other fluidic components which can include sample chambers, waste chambers, conduits, vents, reagent chambers, reconstitution chambers and the like. The assay cartridges are used to conduct multiplexed nucleic acid measurements. Also described are kits including such cartridges, methods of using the same, and a reader configured to analyze an assay conducted using an assay cartridge.

Abstract: A distribution of a plurality of predictions generated by a deep neural network using sensor data is calculated, and the deep neural network includes a plurality of neurons. At least one of a measurement or a classification corresponding to an object is determined based on the distribution. The deep neural network generates each prediction of the plurality of predictions with a different number of neurons.

Abstract: Systems and methods for dielectric TM01 mode resonators are described herein. In certain embodiments, a system includes one or more electronic devices, wherein an electronic device a first input signal and provides an output signal. Further, the electronic device includes a conductive body enclosing a cavity, wherein the cavity has an interior surface. Additionally, the electronic device includes one or more dielectric resonators, wherein a dielectric resonator in the one or more dielectric resonators comprises two or more portions that are shaped differently than one another and has an axial center cavity formed therein. Moreover, the electronic device includes one or more tuning elements inserted through an external surface of the conductive body, the one or more tuning elements extending through the external surface into the axial center cavity, wherein a distance that the one or more tuning elements extend into the axial center cavity is adjustable.

Abstract: A system includes a first plurality of blockchain nodes including first network nodes external to a vehicle and second network nodes internal to the vehicle, the first plurality of blockchain nodes maintaining a first distributed blockchain ledger; and a first computing device. The first computing device is programmed to transmit a first request to the first plurality of blockchain nodes requesting access to a vehicle network via a communications access port in the vehicle; demonstrate a first proof of work by responding to a second request from the first plurality of blockchain nodes; and receive, based on a first majority of the first network nodes and the second network nodes in the first plurality of blockchain nodes accepting the first request, first authorization specifying access to the vehicle access via the communications access port.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to generate a first color image of a road environment, determine one or more value decompositions of one or more of the red, green, and blue channels of the first color image, obtain one or more modified singular value decompositions by modifying respective ones of the singular value decompositions by a non-linear equation and reconstruct a second color image based on the modified one or more singular value decompositions. The instructions can include further instructions to train a deep neural network based on the second color image and operate a vehicle based on the deep neural network.