Abstract: The present technology relates to an intelligent road infrastructure system and, more particularly, to systems and methods for a heterogeneous connected automated vehicle highway (CAVH) network in which the road network has various RSU and TCU/TCC coverages and functionalities. The heterogeneous CAVH network facilitates control and operations for vehicles of various automation level and other road users by implementing various levels of coordinated control among CAVH system entities and providing individual road users with detailed customized information and time-sensitive control instructions, and operations and maintenance services.

Abstract: A simulator for testing a capacity of an infant to travel includes a car body, a back seat in the car body, a base of a car seat assembly secured to the back seat, an infant seat secured to the base, a plurality of sensors, a plurality of force applying actuators, and a control. One set of sensors in plurality of sensors may monitor parameters for a subject positioned in the infant including oxygen saturation, pulse, and respiratory rate. Another set of the plurality of sensors may monitor a position of the infant seat relative to the base and the subject relative to the infant seat. The control is configured to operate the plurality of force applying actuators to apply lateral, vertical, and linear forces to the back seat, the base, and the infant seat to simulate car travel relative to the subject.

Abstract: A system for casual driver ride sharing includes an interface and processor. The interface is to receive a request for a ride from a user, wherein the request includes GPS information for the user. The processor is to determine compatibility between the typical route information and the request for the ride; determine a ranked list based at least in part on the compatibility; and provide a ride offer to a driver of the one or more casual drivers based at least in part on the ranked list.

Abstract: Implementations relate to using deep reinforcement learning to train a model that can be utilized, at each of a plurality of time steps, to determine a corresponding robotic action for completing a robotic task. Implementations additionally or alternatively relate to utilization of such a model in controlling a robot. The robotic action determined at a given time step utilizing such a model can be based on: current sensor data associated with the robot for the given time step, and free-form natural language input provided by a user. The free-form natural language input can direct the robot to accomplish a particular task, optionally with reference to one or more intermediary steps for accomplishing the particular task. For example, the free-form natural language input can direct the robot to navigate to a particular landmark, with reference to one or more intermediary landmarks to be encountered in navigating to the particular landmark.

Abstract: Various systems and methods for collecting and generating analytics of data from motor vehicle safety and operation systems are disclosed herein. In one example, various minor vehicle incidents and events such as hard braking, swerving, deceleration, are tracked and correlated to geographic locations. Event data for these incidents may be collected, aggregated, anonymized, and electronically communicated to a processing system for further analysis and identification of problematic roadway and traffic conditions.

Abstract: An object recognition apparatus mounted in a vehicle including a sensor is provided. The apparatus includes a detection unit configured to detect an object present in a same lane as that of the vehicle by using information from the sensor, an acquisition unit configured to acquire information concerning lights which the object turns on by using the information from the sensor, and a determining unit configured to determine a type of the object based on the information concerning the lights. A condition in which the determination unit determines that the type of the object is a two-wheeled vehicle includes a case in which the object includes not less than two lights arrayed in a vertical direction with respect to the ground surface.

Abstract: A vehicle control device includes an electronic control unit configured to: enlarge the detection range, when the electronic control unit determines that a current deceleration support control is control for passing the object; set a new target deceleration of the host vehicle when a new object with a possibility of collision with the host vehicle has been detected in the enlarged detection range; determine whether an interval from an ending time of the current deceleration support control to a starting time of the next deceleration support control is less than a threshold value, when the electronic control unit determines that the next deceleration support control is control for passing the new object; and perform one of the inter-vehicle distance control and acceleration support control from the ending time to the starting time, when the electronic control unit determines that the interval is less than the threshold value.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: An autonomous work machine that works in a work area while autonomously traveling in the work area, comprises a specification unit configured to specify, based on information of a position detection unit configured to detect position information, a self-position of the autonomous work machine, a determination unit configured to determine, based on the self-position, whether the autonomous work machine has reached a perimeter portion of a no-work area positioned within the work area, and a control unit configured to control the autonomous work machine to do a lap along the perimeter portion in a case in which the autonomous work machine is determined to have reached the perimeter portion.

Abstract: Systems, devices, and methods for presenting information in the sky using drones are disclosed. The presentation of information includes navigating one or more drones to locations in the sky where the locations are associated with an image, emitting light signals at the locations, capturing the light signals with a user device, processing the captured signals to identify the image, capturing a background image including at least one of the locations associated with the image, and presenting simultaneously, on the user device, the identified image and the background image.

Abstract: A method for generating or updating map data including coordinate information of a plurality of landmarks disposed along a road, includes: by a vehicle-side device, uploading index information, indicating that the map data needs to be updated to the server in associated with a road segment in which the vehicle is traveling when a predetermined event occurs in a situation where the vehicle is traveling; by the server, determining whether the map data for the road segment needs to be updated based on the index information provided by the vehicle-side device; and by a server, setting an update flag indicating that the map data needs to be updated for the road segment when determining that the map data needs to be updated.

Abstract: An imaging device, in particular a time-of-flight camera. In imaging device has at least one luminous element, which is designed to emit electromagnetic radiation, and at least one image acquisition element, which is set up to acquire reflected electromagnetic radiation. The imaging device includes at least one beam splitter unit, which is provided to image at least two different fields of view onto the image acquisition element.

Abstract: An accommodation area management device which manages an accommodation area for accommodating a moving body and stops the moving body at a predetermined accommodation position in the accommodation area includes an acquisition unit configured to acquire autonomous movement level information related to autonomous movement that the moving body can perform and a processing unit configured to determine an accommodation position for stopping the moving body based on the autonomous movement level information when the moving body enters the accommodation area.

Abstract: Provided is an electric vehicle driving mileage calculation method, comprising the following steps: calculate the energy consumption of a power battery of the electric vehicle per unit driving mileage; obtain the open-circuit voltage (OCv)-battery capacity (Q) reference curve of the power battery; obtain the OCv of the power battery; obtain the currently remaining available energy of the power battery according to the OCv and the OCv-Q reference curve of the power battery; calculate the driving mileage of the electric vehicle according to the energy consumption of the power battery per unit driving mileage and the currently remaining available energy of the power battery, whereby the driving mileage of the electric vehicle which is calculated is more accurate. Also disclosed is an electric-vehicle driving mileage calculation device and an electric vehicle.

Abstract: Consciousness is widely considered to be a mysterious and uniquely human trait, which cannot be achieved artificially. On the contrary, a system and method are disclosed for a computational machine that can recognize itself and other agents in a dynamic environment, in a way that seems quite similar to biological consciousness in humans and animals. The machine comprises an artificial neural network configured to identify correlated temporal patterns and attribute causality and agency. The machine is further configured to construct a virtual reality environment of agents and objects based on sensor inputs, to create a coherent narrative, and to select future actions to pursue goals. Such a machine may have application to enhanced decision-making in autonomous vehicles, robotic agents, and intelligent digital assistants.

Abstract: Described is a system for improving generalization of an agent, such as an autonomous vehicle, to unanticipated environmental changes. A set of concepts from the agent's experiences of an environment are extracted and consolidated into an episodic world model. Using the episodic world model, a dream sequence of prospective simulations, based on a selected set of concepts and constrained by the environment's semantics and dynamics, is generated. The dream sequence is converted into a sensor data format, which is used for augmented training of the agent to operate in the environment with improved generalization to unanticipated changes in the environment.

Abstract: An autonomous vehicle is described herein. The autonomous vehicle comprises a first sensor and a second sensor having limited fields of view, an articulation system, and a computing system. The computing system determines a first region and a second region external to the autonomous vehicle based on a sensor prioritization scheme comprising a ranking of regions surrounding the autonomous vehicle. The computing system then causes the articulation system to orient the first sensor towards the first region and the second region towards the second region. Responsive to receiving a sensor signal from the first sensor indicating that an object has entered a field of view of the first sensor, the computing system determines a third region having a higher ranking than the second region within the sensor prioritization scheme. The computing system then causes the articulation system to orient the second sensor towards the third region.

Abstract: The subject disclosure relates to ways to improve route duration calculations e.g., estimated time of arrival (ETA) approximations, by taking consideration of reroute probabilities along a given vehicle path. In some aspects, the disclosed technology encompasses a process including steps for identifying a route between a first destination to a second destination, determining a reroute likelihood associated with at least one AV maneuver along the route, and calculating an estimated time of arrival (ETA) based on the reroute likelihood associated with at least one AV maneuver. Systems and machine-readable media are also provided.

Abstract: An autonomous vehicle (AV) uses an authentication system to verify that a person on the street attempting to control behavior of the AV is authorized to do so. An authorized person (e.g., a construction worker or a police officer) has an associated beacon that provides a beacon signal, such as a visual symbol or wireless signal. The AV perceives the beacon signal and transmits it to the authentication system. The authentication system looks up the beacon signal in a database and retrieves conditions associated with the beacon signal. If the authentication system and/or AV confirms that the beacon signal is in the database, and the conditions under which the person associated with the beacon signal is authorized to control the AV are met, the AV follows instructions from the person.

Abstract: A system and method for autonomous vehicle control to minimize energy cost are disclosed. A particular embodiment includes: generating a plurality of potential routings and related vehicle motion control operations for an autonomous vehicle to cause the autonomous vehicle to transit from a current position to a desired destination; generating predicted energy consumption rates for each of the potential routings and related vehicle motion control operations using a vehicle energy consumption model; scoring each of the plurality of potential routings and related vehicle motion control operations based on the corresponding predicted energy consumption rates; selecting one of the plurality of potential routings and related vehicle motion control operations having a score within an acceptable range; and outputting a vehicle motion control output representing the selected one of the plurality of potential routings and related vehicle motion control operations.