Abstract: A marine vessel maneuvering system includes an operator to receive both a propulsive force operation to change a propulsive force of a propulsion device and a steering operation to turn the propulsion device to steer a marine vessel, and a controller configured or programmed to perform a control to automatically drive the propulsion device to move the marine vessel in an automatic marine vessel maneuvering mode. The controller is configured or programmed to perform a control to transition to the automatic marine vessel maneuvering mode based on a transition operation being performed on the operator.

Abstract: A system for positioning a vehicle at a charging station. The system comprises: a wireless communication arrangement comprising a first communication device configured to wirelessly communicate with a second communication device by a wireless protocol; a vehicle positioning arrangement comprising a transmitting antenna configured to transmit a detection signal, and a receiving antenna configured to receive the detection signal. The transmission of the detection signal by the transmitting antenna and/or the detection of the detection signal by the receiving antenna is controlled to determine an angle between the transmitting antenna and the receiving antenna, which angle is used to guide the vehicle to a predetermined position at the charging station. The first communication device comprises one of the transmitting antenna and receiving antenna of the vehicle positioning arrangement.

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, at least one processor may receive, from a camera, at least one captured image representative of features in an environment of the vehicle. The processor may identify an intersection and a pedestrian in a vicinity of the intersection represented in the image. The processor may determine a navigational action for the vehicle relative to the intersection based on routing information for the vehicle; and determine a predicted path for the vehicle relative to the intersection based on the determined navigational action and a predicted path for the pedestrian based on analysis of the image. The processor may further determine whether the vehicle is projected to collide with the pedestrian based on the projected paths; and, in response, cause a system associated with the vehicle to implement a collision mitigation action.

Abstract: A control system for a host vehicle operable in an automated mode, wherein the control system is configured to: receive a driver selection from a first human-machine interface of a vehicle-to-vehicle separation when vehicle speed falls below a threshold; store the vehicle-to-vehicle separation when vehicle speed falls below the threshold; receive a driver intervention from a second human-machine interface to modify the vehicle-to-vehicle separation; and update the stored vehicle-to-vehicle separation based on the received driver intervention when the vehicle speed later falls below the threshold.

Abstract: A method, system and product for identifying spoofed maritime signals using information from other vessels. The method comprises obtaining one or more location-reporting signals of a maritime vessel, wherein the one or more location-reporting signals comprise one or more respective sets of geographical coordinates, each of which having a timestamp. The method further comprises determining that the one or more location-reporting signals are at least partially fabricated, wherein said determining is based on a contradiction between a content of the one or more location-reporting signals and information derived from location-reporting signals received from other maritime vessels. The method further comprises performing a responsive action.

Abstract: A system configured to operate in an unknown, possibly texture-less environment, with possibly self-similar surfaces, and comprising a plurality of platforms configured to operate as mobile platforms, where each of these platforms comprises an optical depth sensor, and one platform operates as a static platform and comprising at least one optical projector. Upon operating the system, the static platform projects a pattern onto the environment, wherein each of the mobile platforms detects the pattern or a part thereof by its respective optical depth sensor while moving, and wherein information obtained by the optical depth sensors, is used to determine moving instructions for mobile platforms within that environment. Optionally, the system operates so that every time period another mobile platform from among the plurality of platforms, takes the role of operating as the static platform, while the preceding platform returns to operate as a mobile platform.

Abstract: Disclosed are an apparatus and method for controlling autonomous traveling of an independent driving electric vehicle. An apparatus for controlling autonomous traveling of an independent driving electric vehicle according to one aspect of the present disclosure includes a measurement unit configured to measure traveling information of a vehicle, a steering angle controller configured to calculate a steering angle for following a look ahead point based on path information of the vehicle and the traveling information, and control the vehicle according to the steering angle, and a torque vectoring controller configured to calculate a lateral error and an angular error of the vehicle based on the path information and the traveling information, generate a control moment based on the lateral error and the angular error, and control a motor torque of each motor based on the control moment.

Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture may be implemented to access, from at least one memory device, sensor measurements generated by one or more sensors mounted in a vehicle and to generate an occupancy grid having grid cells that track occupancy, by static obstacles and dynamic obstacles, in an environment of the vehicle based on the accessed sensor measurements. An apparatus may additionally allocate (i) a first set of particles to estimate occupancy of grid cells by the static obstacles and states of the static obstacles and (ii) a second set of particles to estimate occupancy of grid cells by the dynamic obstacles and states of the dynamic obstacles. An apparatus may additionally execute one or more operations to plan motion of the vehicle based on the estimated occupancy of grid cells by the static obstacles and dynamic obstacles.

Abstract: The present disclosure relates to a system for generating a weather map. The system comprises a mobile device configured to move to first locations within an environment and obtain first weather data indicative of a weather condition at the first locations by using a sensor. Further, the system comprises a data processing circuitry configured to generate a weather map including a probability distribution of weather conditions between the first locations by applying a predetermined weather model to the first weather data. The data processing circuitry is further configured to determine second locations through a threshold comparison of the probability distribution. The mobile device is further configured to move to the second locations and obtain second weather data indicative of a weather condition at the second locations, by using the sensor, for increasing a confidence of the weather map using the second weather data.

Abstract: An advisory module may include processing circuitry configured to receive data indicative of internal factors and external factors related to route optimization of a combined route of a subject. The combined route may include an air segment and a ground segment, and at least some of the external factors may include dynamic parameters that are changeable while the air segment or ground segment is being transited by the subject to a ground objective. The processing circuitry may be further configured to generate a guidance option to deliver the subject to the ground objective based on integration of the internal factors and the external factors to optimize a route to the ground objective, and provide a graphical representation of the guidance option along with comparative data or context information associated with the route.

Abstract: An aerial robot includes an image sensor for capturing images of an environment. The robot receives a first image captured at a first location. The robot identifies one or more first pixels in the first image. The first pixels correspond to one or more targeted features of an object identified in the first image. The robot receives a second image captured at the second location. The robot receives its distance data that estimates a movement of the robot from the first location to the second location. The robot identifies second pixels in the second image. The second pixels corresponding to the targeted features of the object as appeared in the second image. The robot determines an estimated distance between the robot and the object based on the changes of locations of the second pixels from the first pixels relative to the movement of the robot provided by the distance data.

Abstract: A system and a method include a phase determination control unit configured to receive position data of an aircraft, determine variables from messages received from the aircraft, apply fuzzy logic to the variables to determine scores for possible phases of flight of the aircraft, identify a highest score among the possible phases of flight, and determine the highest score as an actual phase of flight of the aircraft.

Abstract: A vehicle control device is configured to acquire a camera image obtained by capturing an image, control steering and acceleration or deceleration of the vehicle without depending on an operation of a driver of the vehicle on the basis of the camera image and map information, decide a driving mode of the vehicle as any one of a plurality of driving modes including a first driving mode and a second driving mode, change the driving mode of the vehicle to a driving mode with a heavier task when a task related to the decided driving mode is not executed by the driver, determine whether there is a deviation between a road division line shown in the camera image and a road division line shown in the map information, determine whether a preceding vehicle is present in front of the vehicle when it is determined that there is a deviation.

Abstract: An acquisition unit that acquires vehicle information related to a vehicle state of a vehicle; a determination unit that determines whether the vehicle has traveled in a state in which energy consumption efficiency of the vehicle is poor within a predetermined time from a predetermined driving operation of the vehicle based on the vehicle information acquired by the acquisition unit; and a display control unit that causes a display unit to display the number of times of traveling in the state per unit time within the predetermined time from the predetermined driving operation, the traveling being determined by the determination unit, are included.

Abstract: An unmanned ground-based transport vehicle, UGV, includes a housing, having a base plate and at least one housing side wall substantially perpendicular to the base plate. Arranged in the housing is at least one wheel drive, which is coupled to at least one wheel. The wheel is arranged in a recess in the base plate. The UGV further includes sensors for sensing the environment of the UGV, and a controller for autonomous location and navigation of the UGV on the basis of sensing parameters of the sensors. The UGV includes at least one load-receiving element coupled to the housing side wall and extending outwards from the housing side wall, wherein the load-receiving element includes a load support surface for supporting an item with respect to a vertical direction which extends transverse to the base plate.

Abstract: Systems and methods are described for emissions control of a hybrid vehicle. An instruction to switch from a combustion engine power mode of the hybrid vehicle to an electric power mode of the hybrid vehicle is received. A temperature of a catalyst associated with a combustion engine of the hybrid vehicle is identified, where exhaust gases from the combustion engine are passed over the catalyst. If the temperature of the catalyst is at, or above, a threshold level, the hybrid vehicle is switched to the electric power mode, and the combustion engine is switched off. If the temperature of the catalyst is below the threshold level, the hybrid vehicle is switched to the electric power mode, and the catalyst temperature is maintained at, or above, the threshold level.

Abstract: Methods and systems for operating a system that includes an array of sensors are described. In one example, output of sensors included in the array is characterized as being in one of a plurality of states. Diagnostics may be performed on sensors in the array of sensors based on sensors being in one of the plurality of states.

Abstract: An apparatus for generating a lane network includes a processor configured to calculate, for each of individual points in a predetermined region connecting an entry lane and an exit lane, a probability distribution indicating a probability that the point lies on a standard trajectory, based on trajectories of one or more vehicles that traveled through the region, generate two virtual borders each connecting the positions of respective edges of the entry lane and the exit lane, set, of the individual points in the predetermined region, at least two points that lie between the two virtual borders and at which the variance of the probability distribution is not greater than a predetermined variance threshold, as control points, and generate a Bézier curve, based on the at least two control points, as a line connecting two lanes in the predetermined region in a lane network.

Abstract: To increase steering angle followability of automatic steering, provided is a driving assistance device for executing collision avoidance control of controlling a steering angle of an own vehicle such that the own vehicle travels along a target trajectory which enables the own vehicle to avoid a collision with an obstacle. The driving assistance device includes: a setting unit configured to set a target steering angle, and to set a target steering torque for matching the steering angle with the target steering angle; a cancellation unit configured to set a cancellation torque which cancels a total steering torque obtained by summing a driver steering torque and a steering assist torque set based on the driver steering torque; and a control unit configured to execute steering control of controlling the steering angle based on a torque control amount obtained by adding the target steering torque to the cancellation torque.

Abstract: A Human Machine Interface (HMI) device for a vehicle includes a determination unit configured to determine whether to recommend an alternative type of transportation around a vehicle, a calculation unit configured to calculate at least one of an expected arrival time or an expected fare of the passenger to arrive at a destination on the navigation route using the alternative type of transportation, and an interface unit configured to provide the passenger with at least one of the expected arrival time or the expected fare for the passenger. The determination unit may determine whether to recommend an alternative type of transportation around the vehicle based on at least one of a traffic congestion degree in a navigation route of the vehicle, a discontent degree of the passenger, input from the passenger, or an update of an expected arrival time of the vehicle.