Abstract: The present disclosure relates to an autonomous emergency braking system and a method. More specifically, the autonomous emergency braking system according to the present disclosure includes: a sensor that includes a gravity sensor detecting a force of gravity applied to a host vehicle and a vehicle-speed sensor detecting a vehicle speed of the host vehicle; an inclination determiner that determines an inclination of a road surface on which the host vehicle is traveling based on the vehicle speed of the host vehicle and the force of gravity; and a controller that adjusts an AEB warning time based on the determined inclination of the road surface.

Abstract: A method for operating a driver information system in an ego vehicle is provided, in which a current speed of the ego vehicle and a set parameter of an at least partially automated longitudinal guidance function of a driver assist system are acquired. A driver information display is generated and output, wherein the driver information display comprises a graphic lane object which represents a roadway in front of the ego vehicle. In doing so, a distance scale object and a distance indicator object are arranged in the lane object and are generated depending on the current speed of the ego vehicle. The distance scale object is generated so that positions of the lane object are assigned to distances from the ego vehicle, and the distance indicator object is arranged on the distance scale object such that the set parameter is output.

Abstract: A tire force estimation system includes a sensor, a sensor information acquisition unit, and a tire force calculator. The sensor measures a physical quantity of a tire. The sensor information acquisition unit acquires the physical quantity measured by the sensor. The tire force calculator includes an arithmetic model for calculating tire force F based on the physical quantity, and calculates the tire force F by inputting the physical quantity acquired by the sensor information acquisition unit into the arithmetic model.

Abstract: Systems and methods are provided for combining a multiple sub-time window sampling architecture with machine learning to detect outlier traffic flow behavior which may indicate malicious/problematic network activity. For example, a network device may obtain a sample of traffic flow data during a defined time window. The sample of traffic flow data may comprise information associated with a sampled subset of traffic flows transferred by a network device in the defined time window. The network device may partition the defined time window into two or more sub-time windows. In each sub-time window, using machine learning, the network device may assign an outlier-related classification to each sampled traffic flow based on the relative behavioral characteristics of all the sampled traffic flows. The network device may aggregate the outlier-related classifications for each sampled traffic flow across multiple sub-time windows, and process traffic flows based on the aggregated outlier-related classifications.

Abstract: A battery management system in a vehicle includes: monitoring devices arranged in a housing accommodating battery; and a control device arranged in the housing, acquiring battery information from the monitoring devices, and performing a predetermined process. The control device stores, in advance as learning data, data that correlates with an electric field intensity in the housing for frequency channels that are usable to transmit and receive data to and from each of the monitoring devices performing wireless communication. The control device determines a target frequency channel of the frequency channel hopping based on the learning data.

Abstract: An example autonomous device is configured to detect objects within a vicinity of the autonomous device. The autonomous device is configured to move along a surface. The autonomous device includes a body, at least one long-range sensor on the body configured for detection in a first field, and at least one short-range sensor on the body. Each short-range sensor is configured for detection in a second field directed towards the surface. The second field is smaller than the first field. Each short-range sensor is configured to output signals based on detection of an object within the second field. A control system is configured to control movement of the autonomous device based, at least in part, on the signals.

Abstract: The present disclosure relates to a controller (20) for controlling operation of an access control device (2) for a vehicle (3). The access control device (2) is selectively operable in a first operating mode (P1) and a second operating mode (P2). The access control device (2) is in a limited response mode when operating in the first operating mode (P1). The controller (20) includes a processor (24) and a memory means (23). The processor (24) is configured to determine a position of the access control device (2) and to generate a control signal for activating the first operating mode (P1). The control signal is generated in dependence on the determined position of the access control device (2). The controller (20) may be provided in the access control device (2). The present disclosure also relates to a method of controlling operation of an access control device (2).

Abstract: Customized navigation maps of an area are generated for autonomous vehicles based on a baseline map of the area, transportation systems within the area, and attributes of the autonomous vehicles. The customized navigation maps include a plurality of paths, and two or more of the paths may form an optimal route for performing a task by an autonomous vehicle. Customized navigation maps may be generated for outdoor spaces or indoor spaces, and include specific infrastructure or features on which a specific autonomous vehicle may be configured for travel. Routes may be determined based on access points at destinations such as buildings, and the access points may be manually selected by a user or automatically selected on any basis. The autonomous vehicles may be guided by GPS systems when traveling outdoors, and by imaging devices or other systems when traveling indoors.

Abstract: A method and system for controlling an engine clutch of a P2 type parallel hybrid vehicle includes steps of: determining whether or not a learning mode entry condition is satisfied, depending on whether or not a kickdown shift occurs during performance of variable hydraulic control of an engine clutch and based on the degree to which slip of the engine clutch occurs, deriving and storing a learning hydraulic value for suppressing the slip that is to occur when the kickdown shift occurs during the performance of the variable hydraulic control in such a manner that the slip does not occur, when a vehicle state satisfies a predetermined learning mode entry condition, and computing a final hydraulic pressure by adding a hydraulic compensation value to a target hydraulic pressure, when the same kickdown shift situation occurs, and controlling the engine clutch using the computed final hydraulic pressure.

Abstract: A delivery plan generating method includes determining a start point that is point where delivery of a delivery object starts, determining an end point where the delivery of the delivery object finishes, determining a transfer point as a destination with reference to the start point, the end point, a position of the first mobile unit, and a position of the second mobile unit, the transfer point being a point where the delivery object is transferred from the first mobile unit to the second mobile unit, and generating a delivery plan for causing the first mobile unit to travel via the start point to the determined transfer point and causing the second mobile unit to travel via the determined transfer point to the end point.

Abstract: A system for obtaining a prediction an action (at) of a vehicle (V), including a camera for acquiring a sequence of images (Ft) a convolutional neural network visual encoder which obtains a corresponding visual features vector (vt), one or more sensor that obtains a position of the vehicle (st) at the same time step (st), a Recurrent Neural Network configured to receive the visual features vector (vt) and position of the vehicle (st) at the time step (t) and to generate a prediction of the action (at) of the vehicle (V). The system comprising a command conditioned switch configured upon reception of a control command (ci) to select a corresponding branch of the Recurrent Neural Network. The system is configured to operate the selected corresponding branch to process the visual features vector (vt) and position of the vehicle (st) at the time step (t) to obtain the prediction of the action (at) of the vehicle (V).

Abstract: An agricultural harvester has a frame and a spout that is movably mounted relative to the frame. A spout actuator drives movement of the spout relative to the frame. Harvesting functionality engages material from a field and delivers the material through an outlet end of the spout as the agricultural harvester moves through the field in a direction of travel. A turn identifier identifies a location of a turn forward of the agricultural harvester and generates a turn location indicator indicative of the location of the turn. A speed detector detects a speed of the agricultural harvester and generates a speed indicator indicative of the detected speed. A position compensation control system generates spout position compensation information based on the turn location indicator and the speed indicator, and a spout position controller controls the spout actuator based on the spout position compensation information.

Abstract: In an example, the autonomous vehicle (“AV”) can be configured among the other vehicles and railway to communicate with a rider on a peer to peer basis to pick up the rider on demand from a location on a track, like a railway, tram or other track, rather than the rider being held hostage to a fixed, railway schedule. The rider can have an application on his/her cell phone, which tracks each of the AVs. and contact them using the application on the cell phone. In an example, the AV is configured for both on-track and off track operation with different operating parameters for on-track and off track, including speed, degree of autonomy, sensors used etc.

Abstract: A method, device, and computer-readable medium for checking whether a rolling chassis on which a vehicle body is arranged, is being used admissibly is provided. A first specification signal is received which represent a first specification of the rolling chassis. The first specification comprises stipulations for admissible use of the rolling chassis in a motor vehicle. A motor vehicle state signal is received which represent a motor vehicle state. The rolling chassis is checked to determine whether the rolling chassis is being used in accordance with the stipulations for admissible use based on the first specification and the motor vehicle state. A result signal is generated which represent a result of the check, and the generated result signal is output.

Abstract: Systems and methods for self-driving collision prevention are presented. The system comprises a self-driving vehicle safety system, having one or more sensors in communication with a control system. The control system is configured determine safety fields and instruct the sensors to scan a region corresponding to the safety fields. The control system determines exclusion regions, and omits the exclusion regions from the safety field. The safety system may also include capability reduction parameters that can be used to constrain the drive system of the vehicle, for example, by restricting turning radius and speed in accordance with the safety fields.

Abstract: A system and method for managing requests for integrating a handheld customer interface with a point of sale (POS) system are disclosed. In one aspect, an integrated customer interface module is configured to communicate with a wireless mobile computing device of a customer and a POS system associated with a restaurant chain. The integrated customer interface module is configured to receive a request from the customer to check in to one of the chain's restaurants, automatically generate an order in the POS system, receive information regarding the customer from the remote database, and send at least a portion of the information regarding the customer to the POS system so as to be used as identification in the ordering and purchasing at the restaurant.

Abstract: There is disclosed a method, for determining a suitable tire for use on a vehicle, wherein the vehicle comprises an electronic device capable of collecting driving data relating to the driving of the vehicle. The method comprises obtaining driving data (18), from the electronic device, relating to the driving of the vehicle, and determining, from the driving data, an amount of driving performed on at least one of a plurality of different road types (20). The method further comprises forming a road type driving profile (22) comprising one or more road types and the associated determined amount of driving performed thereon and selecting, from a plurality of different tires, a suitable tire (24) for the vehicle based on at least the road type driving profile.

Abstract: Systems and methods for using an information wallet system to deliver a gift and receive, redeem, or re-gift the gift are disclosed. The information wallet system's storage is securely maintained by a financial institution computing system (i.e. a bank) and receives and holds purchase transaction information. Purchase information transaction may be received from a user computing device or an entity computing system, such as a merchant computing system. In one embodiment, a user may purchase a gift through an online website or at a brick and mortar location and direct the gift to be deposited into the information wallet storage of a recipient. A recipient may then continue to hold the gift, redeem the gift, or re-gift the gift to another party.

Abstract: A marine vessel power supply system for a marine vessel including an electric motor to rotate a propeller includes an inverter to supply electric power to the electric motor, a battery to supply electric power to the inverter, and an electronic control unit configured or programmed to control the inverter. The inverter includes an inverter circuit to convert DC electric power supplied from the battery to AC electric power, a voltage detector to detect the voltage in a wiring between the battery and the inverter circuit, and a microcomputer configured or programmed to communicate with the electronic control unit and to control the inverter circuit according to a command supplied from the electronic control unit. The electronic control unit calculates an SOC estimate indicative of an estimated state-of-charge value of the battery based on a value of the voltage detected by the voltage detector and acquired from the microcomputer.

Abstract: The invention discloses a cleaning partition planning method for robot walking along the boundary, a chip and a robot. According to the cleaning partition planning method, a complete global map does not needed to be prestored in advance, but an initial room cleaning partition of the robot is divided in real time in a predefined cleaning area according to map image pixel information obtained by laser scanning in the process of walking along the boundary, meanwhile, the initial room cleaning partition of the robot is expanded by repeated iterative processing of the wall boundary of an uncleaned area in the same predefined cleaning area.