Abstract: A collision avoidance assist apparatus starts an autonomous steering control to autonomously steer and turn an own vehicle to orient the own vehicle in a laterally extending direction of an obstacle to avoid a collision of the own vehicle with the obstacle when the own vehicle potentially collides with the obstacle. The apparatus sets a first condition as a control termination condition used to determine whether to terminate the autonomous steering control, based on a laterally extending direction of the obstacle relative to the own vehicle when starting the autonomous steering control. The apparatus terminates the autonomous steering control when the obstacle is tracked, and a second condition different from the first condition becomes satisfied. The apparatus terminates the autonomous steering control when the obstacle is not tracked, and the first condition becomes satisfied.

Abstract: Disclosed are an apparatus and method for preventing a vehicle collision. The apparatus includes a communication unit wirelessly communicating with a surrounding vehicle, a sensing unit detecting the surrounding vehicle and a lane, a traveling control module configured to control steering or braking of an ego vehicle, and a controller configured to determine whether the ego vehicle can perform steering avoidance driving toward a neighboring lane, through the sensing unit, based on information on a driving mode of a vehicle ahead received through the communication unit, if it is checked through the communication unit that a vehicle ahead of the vehicle ahead is in a stop state and to control the ego vehicle to perform the steering avoidance driving toward the neighboring lane or to urgently brake through the traveling control module, based on a result of the determination.

Abstract: An apparatus for determining a lane change path of an autonomous vehicle is provided. The apparatus includes a learning device configured to learn lane change paths corresponding to a lane change strategy of the autonomous vehicle, and a controller configured to interwork with the learning device to extract at least two lane change paths corresponding to the lane change strategy among a plurality of lane change paths in a drivable area of the autonomous vehicle and determine a final lane change path based on properties of the extracted lane change paths.

Abstract: An autonomous vehicle (AV) is described herein. The AV is configured to identify an occluded region where a portion of a field of view of a sensor is occluded by an object. The AV is further configured to hypothesize that an object exists in the occluded region and is moving in the occluded region. The AV is still further configured to perform a driving maneuver based upon the hypothesized object existing in the occluded region.

Abstract: A parking assist system includes: a control device configured to control a vehicle, a vehicle position detecting device configured to detect a position of the vehicle; a shift device configured to be operated for changing a shift position; and a brake input member configured to be operated for driving a brake device. In a case where the vehicle is stopped at a position other than a target position and a switching position, the control device changes the shift position to a parking position or a neutral position unless a shift maintenance condition is satisfied. The shift maintenance condition includes at least one of condition (i) that the vehicle is stopped at a position out of a prescribed range according to an operation of the brake input member and a condition (ii) that a cause for which the vehicle has been stopped is removed.

Abstract: Provided are a method, apparatus and system for detecting obstacle collision in an automatic parking path. The method includes: geometrically performing an obstacle collision detection in a circular arc path and/or an obstacle collision detection in a straight line path by using a path contour, a vehicle contour and an obstacle contour. The system includes a collision detection module for geometrically performing detection of obstacle collision in a circular arc path and/or detection of obstacle collision in a straight line path by using a path contour, a vehicle contour and an obstacle contour. The apparatus includes: a memory and a processor configured for geometrically performing detection of obstacle collision in a circular arc path and/or detection of obstacle collision in a straight line path by using a path contour, a vehicle contour and an obstacle contour.

Abstract: A robot and a map update method using the same are disclosed. The robot includes: an image acquisition unit configured to acquire an image; a first indication lamp disposed at a first location; a second indication lamp disposed apart from the first location; an image determination module configured to compare an image learned and stored in the robot with the image acquired through the image acquisition unit; and an indication lamp determination module configured to compare operation information of each of the first and second indication lamps with the image acquired through the image acquisition unit.

Abstract: An autonomous vehicle (AV) is described herein. The AV is configured to identify an occluded region where a portion of a field of view of a sensor is occluded by an object. The AV is further configured to hypothesize that an object exists in the occluded region and is moving in the occluded region. The AV is still further configured to perform a driving maneuver based upon the hypothesized object existing in the occluded region.

Abstract: According to an embodiment, a vehicle control device includes a recognizer configured to recognize a surrounding environment of a vehicle and recognize a locking state of the vehicle and a driving controller configured to perform driving control of one or both of a speed and steering of the vehicle on the basis of a recognition result of the recognizer. The driving controller causes the vehicle to depart when a door of the vehicle is locked after an occupant of the vehicle gets out of the vehicle in a predetermined area in a state in which predetermined conditions are satisfied.

Abstract: An autonomous vehicle (AV) is described herein. The AV is configured to identify an occluded region where a portion of a field of view of a sensor is occluded by an object. The AV is further configured to hypothesize that an object exists in the occluded region and is moving in the occluded region. The AV is still further configured to perform a driving maneuver based upon the hypothesized object existing in the occluded region.

Abstract: In one aspect, a computerized method useful for three-dimensional (3D) model data rendering and information capturing during a vehicle inspection check-in process for service comprising includes the step of providing a vehicle for a check-in inspection. The computerized method includes the step of obtaining a vehicle identification number (VIN) of the vehicle. The computerized method includes the step of, based on the VIN of the vehicle, obtaining a 3D vehicle model data. The 3D vehicle model data matches a type of the vehicle. The 3D vehicle model data is generated from a manufacturer's three-dimensional (3D) computer-aided design (CAD) model data of the type of the vehicle.

Abstract: A vehicle control device includes a detector configured to detect a specific operation performed on a vehicle from an outside of the vehicle, a vicinity situation recognizer configured to recognize a vicinity situation of the vehicle, and a driving controller configured to control steering, and acceleration or deceleration of the vehicle on the basis of a vicinity situation recognized, wherein, when the specific operation is detected by the detector before the vehicle arrives at a boarding area in automated exit processing, the driving controller is configured to bring the vehicle into a stopped state, the boarding area being area in which a user of the vehicle is allowed to get on the vehicle, the automated exit processing being process in which the vehicle is caused to exit from a parking lot and allowing the user to get on the vehicle in the boarding area.

Abstract: A method for reducing slack in a linkage chain of a vehicle truck assembly is provided. In one example, the method includes responding to a request to de-lift a lift mechanism by reducing pressure in an actuator coupled to the lift mechanism, where the lift mechanism is configured to transfer a load from a first axle to a second axle of the vehicle during the de-lift, and during the de-lift, maintaining the pressure in the actuator at or above a threshold pressure to maintain tension in a weight transfer device of the lift mechanism.

Abstract: An energy consumption predicting device includes: an acquisition unit acquiring a parameter correlated with at least one of a vehicle speed when a vehicle traveled on a route from a first point to a second point on which a vehicle traveling using only a power source consuming an energy source supplied from outside of the vehicle and stored therein is able to travel, a different vehicle speed when a different vehicle traveled on the route, an output of the power source when the vehicle traveled on the route, and an output of a different power source when the different vehicle traveling using only the same type of different power source as the power source traveled on the route; and a calculation unit calculating a predicted consumption of the energy source which is predicted when the vehicle travels on the route from the first point to the second point.

Abstract: A vehicle control apparatus includes a time-to-collision acquisition unit that acquires time to collision that is a time period until a time of collision of an own vehicle with a front obstacle, an overlap rate acquisition unit that acquires an overlap rate indicating a relative positional relationship between the own vehicle and the front obstacle in a lateral direction perpendicular to a traveling direction of the own vehicle, a determination unit that performs execution determination of automatic braking control of the own vehicle, on the basis of the time to collision and the overlap rate, and that, when the overlap rate is increasing by the front obstacle approaching the own vehicle in the lateral direction, determines start timing of the automatic braking control as earlier timing than when the overlap rate is not increasing, and an automatic controller that executes the automatic braking control at the start timing.

Abstract: A parking assist system includes: a control device configured to control a vehicle so as to move the vehicle autonomously from a current position to a target position; and an external environment sensor configured to detect an obstacle. During control of the vehicle to the target position, the control device is configured to recognize the obstacle present in a first area and a second area based on information from the external environment sensor. In a case where the control device recognizes the obstacle in the first area, the control device stops the vehicle, and in a case where the control device recognizes the obstacle in the second area and the obstacle in the second area is a moving object and/or a moving creature, the control device moves the vehicle in a decelerated state in which the vehicle is decelerated to a prescribed speed.

Abstract: A device for determining a region of impact of an aircraft on the surface of the Earth in the event of an emergency is configured to compare weather forecasts from the past with the weather conditions that are actually occurring and to determine therefrom an uncertainty of the weather forecasts using statistical means. This uncertainty of the weather forecasts is used in addition to position data and state information of the aircraft in order to determine a probable region of impact of the aircraft.

Abstract: A system and method for cognitive journey monitoring are presented. Embodiments comprise journey prediction, parsing of data sources, risk assessment and mitigation, and natural-language user interaction by a cognitive processor. Data is gathered from a plurality of data sources and analyzed in the context of one or more of the user's intention(s). A dialogue with the user, in natural language, aims to provide and select one or more suggestions relating to the one or more user intention(s) such that the risk(s) relating to the one or more user's intention(s) is reduced. During the dialogue, cognitive reasoning may be performed, wherein the cognitive reasoning includes the ability to justify each suggestion and the ability to infer information from the interaction such as, for example, data obtained in a dialogue may inform subsequent inferences. The embodiments may use speech synthesis and speech recognition in an interactive spoken dialogue.

Abstract: A method and system of diagnosing and suggesting least probable faults for an exhibited vehicle failure. The method includes initiating a vehicle health management (VHM) algorithm to monitor a state of health (SOH) for at least one vehicle component at each vehicle operating event over a predetermined time period. The VHM algorithm determines at least one of a Green SOH, a Yellow SOH, and a Red SOH designation with a confidence level for the at least one vehicle component; calculating a number of Green SOH designations (Ncalculated) over the predetermined time period; and upon an exhibited vehicle failure, providing a least probable cause indication for the at least one component when a set of conditions are met. The set of conditions includes (i) Ncalculated is equal to or greater than a predetermined number of Green SOH designations and (ii) no Yellow SOH and Red SOH designations are present.

Abstract: A vehicle control system includes an automated driving control unit for controlling, based on surrounding environment information of a vehicle, driving, braking, and/or steering of the vehicle without depending on a driving operation of a driver; and a driving support control unit for supporting driving of the vehicle by the driver by controlling driving, braking, and/or steering of the vehicle. The control units are communicably connected. The driving support control unit can control, depending on a reception result of a signal received from the automated driving control unit, steering, and driving and/or braking of the vehicle based on the surrounding environment information without depending on the driving operation of the driver.