Abstract: Disclosed is a device for controlling an airbag, which includes a first sensor unit configured to detect surrounding vehicle information using at least one sensor, a second sensor unit configured to detect collision information of an ego-vehicle using at least one sensor, and a controller configured to calculate a target relative velocity and time to collision (TTC) based on sensing information detected by the first sensor unit, determine a collision risk of the ego-vehicle based on the calculated target relative velocity and TTC, maintain a threshold for airbag deployment by default or adjust the threshold, based on a result of the determination of the collision risk of the ego-vehicle, compare the maintained or adjusted threshold with the collision information received from the second sensor unit, and control whether to deploy the airbag based on whether the collision information is the maintained or adjusted threshold or more.

Abstract: A vehicle drive-assist apparatus includes: a first front-environment recognizer recognizing, with a vehicle-mounted autonomous sensor, a front environment; a second front-environment recognizer recognizing the front environment on the basis of information received from an external device via external communication; a first brake controller determining, when a preceding vehicle is recognized by the first front-environment recognizer, a target position on the basis of the preceding vehicle, and executing a first brake control based on the target position; and a second brake controller determining, when the preceding vehicle is recognized only by the second front-environment recognizer, the target position on the basis of the preceding vehicle, and determining a corrected target position by correcting the target position, and executing a second brake control based on the corrected target position in advance of the first brake control.

Abstract: A landing gear system includes a landing gear collar and a strut assembly supported by the landing gear collar. The strut assembly includes a piston that is adjustable between a fully extended position and a fully compress position. The landing gear system further includes a rotary encoder and a controller. The rotary encoder rotates in response adjusting the piston and to outputs a data value in response to its rotation. The controller is in signal communication with the rotary encoder and determines a stroke of the piston based on the data value output from the rotary encoder.

Abstract: A method of controlling a vehicle seat according to an example of the present disclosure includes analyzing, by a controller, input information transmitted through each switch mounted in a vehicle and classifying the input information according to an input pattern; detecting, by the controller, in which angle range among the plurality of angle ranges belongs the current angle of the seat by analyzing rotation angle information transmitted through the angle detecting sensor of the corresponding seat; controlling, by the controller, an operation of the corresponding seat by using the information of the detected angle range and the input information; and determining, by the controller, whether the operation to the corresponding seat is correct or not.

Abstract: A driving control apparatus for a vehicle having a function for generating a target path to a predetermined range as a target and performing automated lane change to a neighboring lane when no other vehicle is recognized in the predetermined range of the neighboring lane by a surrounding recognition function and a merging support function for generating a target path using other vehicle information obtained by a communication function, performing acceleration/deceleration control and steering control, and automatically merging to a merged lane, wherein the driving control apparatus has a function for altering override threshold values serving as a determination criterion of operation intervention for stopping the acceleration/deceleration control and the steering control to a value greater than during normal operation of the communication function when failure occurs in the communication function during the automated merging.

Abstract: An other lane monitoring device of the present disclosure includes an other vehicle acquisition section, a path acquisition section, a lane estimation section, and a position estimation section. The other vehicle acquisition section is configured to acquire other vehicle position information that indicates the current position of an other vehicle near the own vehicle. The path acquisition section is configured to acquire an own vehicle travel path that indicates a path along which the own vehicle has traveled. The lane estimation section is configured to use the own vehicle travel path as a basis for estimating an other lane area that is a lane where the other lane is present. The position estimation section is configured to estimate a future position of the other vehicle, assuming that the other vehicle moves along the own vehicle travel path or in the other lane area.

Abstract: A travelling vehicle system includes travelling vehicles and a controller. The controller includes a storage that stores a last permitted travelling vehicle, to which a passage permission is transmitted lastly and the passage permission for which is not canceled, for each direction in a branching section or a merging section included in a blocking area, stores a last canceled travelling vehicle, the passage permission for which is canceled lastly, for each direction in the blocking area, and stores the travelling vehicle, to which the passage permission in a same direction in the blocking area is transmitted lastly, as a forward travelling vehicle of a travelling vehicle waiting for the permission to pass through the blocking area at the time of transmission of the passage permission to the passage-permission waiting travelling vehicle, and a determiner that determines whether to give passage permission to the travelling vehicle waiting for the permission.

Abstract: The disclosure relates to assessing impact of blockages on an autonomous vehicle transportation service. An example method may include identifying a plurality of starting and destination location pairs within a service area; running a first plurality of simulations by determining a first route for each of the plurality of pairs without including a first blockage in the service area; determining a first summary for each determined first route identifying a length of time to complete that determined route; running a second plurality of simulations by determining a second route for each of the plurality of pairs and including the first blockage in the service area; determining a second summary for each determined second route identifying a length of time to complete that determined route; and comparing the determined first summaries with the determined second summaries in order to assess an impact of the first blockage on the service.

Abstract: Provided are a vehicle data readout device and a vehicle data readout method with which it is possible to reduce power consumption in a state in which a vehicle has not been activated, even if the vehicle data readout device, which receives power from an in-vehicle power source, remains connected to the vehicle. Taking as a trigger a port voltage (Vp) of a readout communication line exceeding a voltage threshold (THv), a vehicle data readout device switches a change-over switch from off to on, to generate a pull-up state by means of a pull-up resistor, and initiates a read-out of operation parameter data (Dp) by a computer.

Abstract: A method, autonomous vehicle and system for operating an autonomous vehicle. A sensor obtains data of an agent. A processor determines a measure of complexity of the environment in which the autonomous vehicle is operating from the sensor data, selects a control scheme for operating the autonomous vehicle based on the determined complexity, and operates the autonomous vehicle using the selected control scheme.

Abstract: Embodiments include methods, systems, and computer readable storage medium for a method for providing path-planning guidance by resolving multiple behavioral predictions associated with operating a vehicle is disclosed. The method includes installing a vehicle system into a vehicle, wherein the vehicle system provides path planning guidance based on training data using and fused hypotheses and/or decisions associated with the training data. The method further includes determining, by a processor, a location of the vehicle on a map containing a road network, and determining, by the processor, whether one or more agents exist within a predetermined range of the vehicle. The method further includes selecting, by the processor, an output trajectory to traverse the road network based on the location of the vehicle on the map and the existence of one or more agents. The method further includes controlling, by the processor, operation of the vehicle using the output trajectory.

Abstract: A vehicle traveling controller according to the present disclosure performs automatic steering so that a vehicle travels along a target path. The vehicle traveling controller allows a driver to intervene in steering. When the driver intervenes in steering and thereby a traveling position of the vehicle deviates outside from a threshold line set apart from the target path in a lane width direction, the vehicle traveling controller increases a steering reaction force acting on steering operation by the driver.

Abstract: Various technologies described herein pertain to controlling an autonomous vehicle to provide indicators that signal a driving intent of the autonomous vehicle. The autonomous vehicle includes a plurality of sensor systems that generate a plurality of sensor signals, a notification system, and a computing system. The computing system determines that the autonomous vehicle is to execute a maneuver that will cause the autonomous vehicle to traverse a portion of a driving environment of the autonomous vehicle. The computing system predicts that a person in the driving environment is to traverse the portion of the driving environment based upon the plurality of sensor signals. The computing system then controls the notification system to output a first indicator indicating that the autonomous vehicle plans to yield to the person or a second indicator indicating that the autonomous vehicle plans to execute the maneuver prior to the person traversing the portion of the driving environment.

Abstract: A train control system uses machine learning for implementing handovers between centralized and distributed train control models. A machine learning engine receives training data from a data acquisition hub, receives a centralized train control model from a centralized virtual system modeling engine, and receives an edge-based train control model from an edge-based virtual system modeling engine. The machine learning engine trains a learning system using the training data to enable the machine learning engine to predict when a locomotive of the train will enter a geo-fence where communication between the edge-based computer processing system and the centralized computer processing system will be inhibited.

Abstract: A road surface condition prediction system includes a collector which collects pieces of moisture information on moisture on a road surface obtained by detecting the moisture on the road surface of a road on which moving bodies travel, and pieces of position information each indicating a position on the road surface at which the moisture is detected, one or more of the pieces of moisture information and one or more of the pieces of position information being collected from each of the moving bodies; and a predictor which predicts a moisture condition of a target road surface at a time after a time at which moisture on the target road surface is detected, based on moisture information obtained by detecting the moisture on the target road surface, the target road surface being a road surface at a position indicated by at least one of the pieces of position information.

Abstract: Provided is a collision avoidance control apparatus for a vehicle including a first sensor configured to detect a first object present in a first area; a second sensor configured to detect a second object present in a second area; and a controller configured to execute collision avoidance control when determining the first object and the second object as the same object, in which the controller is further configured to determine the first object and the second object as the same object when determining that the first object enters the first area, and determining that at least part of the second object is present in a specific region, the specific region being a region which includes a first object region in which the first object exists, and which includes a part of a region contiguous to the first object region and outside of the first area.

Abstract: A driving assistance apparatus comprising a first object detecting sensor device, a second object detecting sensor device, and a control unit. The first object detecting sensor device detects an object and obtains the position and a certainty value of the object. The second object detecting sensor device detects an object and obtains the position and an object type for the object. The control unit executes collision avoidance control to avoid collision between a vehicle and a monitoring target object which is detected by the first object detecting sensor device when the certainty value of the monitoring target object is higher than a certainty threshold. If the monitoring target object is also detected by the second object detecting sensor device and its object type is a specific type, the certainty threshold is made larger.

Abstract: Disclosed are a driver assistance system for a vehicle, the driver assistance system comprising: a camera disposed on the vehicle to have a field of view of an outside of the vehicle, and configured to acquire external image data; a radar disposed on the vehicle to have a field of sensing of an outside of the vehicle, and configured to acquire radar data; and a controller including a processor configured to process the image data and the radar data, determine a cut-in area of a nearby vehicle on the basis of the image data acquired by the camera, determine a target vehicle on the basis of the determined cut-in area, and control at least one of a braking device or a steering device of the vehicle to avoid a collision with the target vehicle.

Abstract: The disclosure includes embodiments for generating and distributing knowledge. In some embodiments, a method for a connected endpoint includes analyzing, on an information layer, sensor data to generate a set of information that describes one or more events that occur in a roadway environment. The method includes generating, on a knowledge layer, knowledge based on the set of information according to a standard to increase a use efficiency of one or more computational resources of the connected endpoint and to improve a capability of the connected endpoint to distribute the knowledge.

Abstract: A hydraulic excavator (1) provided with a controller (40) having a machine control section (43) that executes machine control for moving a work implement (1A) following a predetermined condition at the time of operation of operation devices (45a, 45b, and 46c) includes a level-of-intervention input device (96) that is operated by an operator. The controller includes a correction amount calculating section (43m) that calculates a correction amount of a level of intervention indicating a degree of intervention by the machine control in an operation of the work implement instructed through operation of the operation devices, based on an operation amount of the level-of-intervention input device. The machine control section executes the machine control to intervene in the operation of the work implement instructed through the operation of the operation devices at a level of intervention corrected based on the correction amount calculated at the correction amount calculating section.