Abstract: Techniques are disclosed for systems and methods for navigational danger identification and feedback. A navigation system may include one or more navigation sensors coupled to and/or associated with a mobile structure and a logic device. The one or more navigation sensors are configured to provide navigational data associated with the mobile structure. The logic device is configured to receive navigational data from the one or more navigation sensors; determine a virtual model comprising at least one navigational hazard based, at least in part, on the received navigational data; and generate a navigation display view comprising a virtual model view based, at least in part, on the determined virtual model, wherein the virtual model view comprises at least one navigation threat indicator corresponding to the at least one navigational hazard.

Abstract: Examples are provided for identifying charging options for charging an electric vehicle. In one method, the charging options may be identified by receiving a charging station query including one or more parameters, accessing a charging station database, the charging station database storing connector codes identifying a connector type and a connector power level for charging connectors provided at a plurality of charging stations, and comparing parameters of the charging station query to the connector codes of the charging station database to identify a first subset of the plurality of charging stations that fit the parameters of the charging station query. The method may also include transmitting mapping data for the first subset of the plurality of charging stations to a client device.

Abstract: System and techniques for enhanced electronic navigation maps for a vehicle are described herein. A set of map tiles may be received at a vehicle component from a remote entity. Sensor derived data that has a locality corresponding to a map tile in the set of map tiles may be obtained. A field-programmable gate array of the vehicle may then be invoked to combine the sensor derived data and the map tile to create a modified map tile. The modified map tile may be communicated to a control system of the vehicle.

Abstract: A wagon includes a communication part configured to communicate with other device, an electric motor configured to generate a traveling driving force, a battery configured to supply electric power to the electric motor, a position sensor configured to acquire position information indicating a position of a host wagon, an attitude detection unit configured to acquire inclination information indicating a tilt of the host wagon, and a controller configured to transmit the position information and the inclination information, which were acquired in a same region, to other device via the communication part while associating the position information and the inclination information.

Abstract: A method of detecting normality of a PWM signal, wherein an error in a pulse-width modulation (PWM) signal is detected using four different self-test logics, and information obtained by categorizing results of detection into failure modes is transmitted to a vehicle component controller, so that the consistency of the PWM signal is determined, a signal safety means is secured, and further, safety standard requirements of the automobile field are satisfied.

Abstract: A control unit for activating a personal protection device of a vehicle. The control unit includes a compute module, which is in one-piece and which includes a first area including a permanently wired processing structure and a second area including a programmable processing structure, the compute module being designed to carry out a processing instruction for activating the personal protection device in at least the second area.

Abstract: Systems and methods for providing an autonomous vehicle service are provided. A method can include obtaining data indicative of a service associated with a user, and obtaining data indicative of a transportation of an autonomous robot. The method can include determining one or more service configurations for the service. The method can include obtaining data indicative of a selected service configuration from among the one or more service configurations, and determining a service assignment for an autonomous vehicle based at least in part on the selected service configuration. The service assignment can indicate that the autonomous vehicle is to transport the user from the service-start location to the service-end location. The method can include communicating data indicative of the service assignment to the autonomous vehicle to perform the service.

Abstract: Techniques are disclosed for performing hybrid simulation operations with an autonomous vehicle. A method of testing autonomous vehicle operations includes receiving, by a computer, a pre-configured scenario that includes one or more simulation parameters and one or more initial condition parameters, sending, to the autonomous vehicle and based on the one or more initial condition parameters, control signals that instruct the autonomous vehicle to operate at an operative condition, and in response to determining that the autonomous vehicle is operating at the operative condition, performing a simulation with the one or more simulated objects and the autonomous vehicle to test a response of the autonomous vehicle.

Abstract: A position determining arrangement for a vehicle includes: a receiving device, in particular an antenna, designed to receive a navigation satellite signal from a navigation satellite; a processing device designed to provide a first signal depending on the received navigation satellite signal, the first signal describing a navigation satellite signal-based position of the receiving device in a coordinate system; at least one inertial sensor designed to detect an acceleration and/or a rate of rotation; a computing unit designed to determine an adapted position of the receiving device in the coordinate system depending on the first signal and the detected acceleration and/or rate of rotation; and a first housing in which at least the computing unit is located. The position determining arrangement includes a second housing independent of and spatially separated from the first housing, and the inertial sensor is located in the second housing.

Abstract: A driving control device mounted on a vehicle includes a processor. The processor is configured to create a speed profile. The processor is configured to approximate the speed profile by a predetermined approximate model and estimate a predicted amount of regenerative energy based on an approximation result. The processor is configured to set, based on the predicted amount of regenerative energy, a first region and a second region in the approximation result as a region in which the vehicle travels using an electric motor, the first region being a region from a timing of starting of the vehicle until first time has elapsed from the timing of starting of the vehicle, and the second region being a region from a timing of deceleration of the vehicle until second time has elapsed from the timing of deceleration of the vehicle.

Abstract: Predicting a future needed repair and/or maintenance activity for an aircraft system such as a cabin air compressor detects a fault signal from the aircraft system, the fault signal being indicative of a fault in the aircraft system. The fault signal is logged into a machine learning computer system. A root cause of a fault signal is determined and the root cause of the fault signal is logged into the computer system. A repair of the root cause of the fault signal is determined and the repair of the root cause of the fault signal is logged into the computer system. The root cause of the fault signal and the repair of the root cause of the fault signal are merged, creating a classification of a future fault signal, a future root cause of the future fault signal and future repair of the future root cause.

Abstract: A vehicle hybrid powertrain includes an internal combustion engine; an electrical drivetrain; a light-off selective catalytic reduction (LO-SCR) device coupled to receive exhaust from the internal combustion engine; and a control system that directs cylinder deactivation (CDA) of the internal combustion engine and controls heat applied to the LO-SCR device.

Abstract: An advanced driving assistance system (ADAS) provides collision avoidance control for a host vehicle. The system can include one or more sensors mounted to the host vehicle and configured to sense a driving lane in which the host vehicle is traveling and to sense an external vehicle partially engaged in the driving lane. A controller controls steering, braking, or acceleration of the host vehicle on the basis of sensing information received from the sensor. The controller determines the external vehicle partially engaged in the driving lane as a target vehicle having at least a part thereof overlapping with a lane mark of the driving lane, and performs longitudinal braking or acceleration control or lateral steering control on the host vehicle based on lateral and longitudinal positional relationships between the host vehicle and the target vehicle.

Abstract: A control unit for controlling a marine vessel to avoid an emergency situation, the control unit comprising processing circuitry and a storage medium, wherein the control unit is configured to receive path data from one or more sensor devices indicative of a path traveled by the marine vessel in a forward direction and to store the received path data by the storage medium, characterized in that the control unit is configured to receive a trigger signal from an input device, and, in response to the trigger signal, determine a location for turning the vessel around, navigating to the location, turning the vessel around at the location, and navigating the vessel along the path in reverse direction.

Abstract: According to one embodiment, a vehicle includes an electrified propulsion system having an electric machine powered by a traction battery over an electrical distribution system (EDS). A controller is programmed to, reduce a speed limit of the vehicle from a maximum speed limit to an EDS speed limit in response to a measured average current of the EDS being within a threshold percentage of an average current limit of the EDS, and, in response to a measured speed of the vehicle exceeding the EDS speed limit, command a torque to the electric machine that is less than a driver-demanded torque such that the vehicle is propelled at a speed below the EDS speed limit.

Abstract: A determination device is for a human-powered vehicle. The determination device includes a processor that is configured to obtain information related to a rotational speed of an input rotational shaft of the human-powered vehicle and information related to a rotational speed of a wheel of the human-powered vehicle to determine a predetermined state in accordance with a varied amount of the rotational speed of the input rotational shaft and a varied amount of the rotational speed of the wheel in a state in which a human driving force that is applied to the human-powered vehicle is greater than or equal to a predetermined threshold value.

Abstract: Apparatus for controlling movement of a vehicle, a system and vehicle comprising the apparatus, and a method for controlling the movement of a vehicle are disclosed. The apparatus comprises a controller configured to receive first signals from a receiving means in dependence on received transmitted signals from a remote control device indicating a requested motion of a vehicle and to receive second signals indicative of a value of traction of the vehicle. A maximum speed value for the vehicle is determined in dependence on the value of traction of the vehicle and/or on one or both of the detected pitch and roll angles of the vehicle. The controller provides an output signal for controlling speed of the vehicle based on the requested motion. The output signal is limited dependent upon the maximum speed value determined by the controller.

Abstract: The present disclosure relates to a system for fresh water supply using a desalination vessel and an autonomous navigation vessel, and more particularly, to a system for fresh water supply using a desalination vessel and an autonomous navigation vessel capable of, in providing fresh water to a plurality of islands using a vessel equipped with a desalination apparatus and an autonomous navigation vessel, setting an optimal fresh water supply route in consideration of the fresh water retention status of islands, location information of islands, and fresh water requirement amount for each route, and based on this, supplying fresh water to each of the islands, thereby minimizing the operation cost of the vessels and stably providing fresh water to the islands requiring fresh water, and the system for fresh water supply using a desalination vessel.

Abstract: Systems and methods are provided for processing vehicle navigation information. A processing device may be configured to receive navigation information from a plurality of vehicles associated with a common road section; store the navigation information; generate at least a portion of an autonomous vehicle road navigation model for the common road section; and distribute the autonomous vehicle road navigation model to one or more autonomous vehicles. The navigation information from each of the vehicles may include first road segment information relative to a first portion of the common road section, and second road segment information relative to a second portion of the common road section. The second road segment information may include a motion representation for the vehicle and a road characteristic relative to the second portion of the common road section. The second portion may be different from and spatially separated from the first portion of the road section.

Abstract: An infrastructure state prediction device includes a processor configured to receive sensor information from a sensor at an infrastructure element, wherein the sensor information includes an observation of a traffic object at the infrastructure element; and determine, based on the sensor information and an infrastructure state model comprising information indicative of a state timing for the infrastructure element, an updated state timing for the infrastructure element; and a transmitter configured to transmit the updated state timing to the infrastructure element.