Abstract: A system and method for providing probabilistic-based lane-change decision making and motion planning that include receiving data associated with a roadway environment of an ego vehicle. The system and method also include performing gap analysis to determine at least one gap between neighboring vehicles that are traveling within the target lane to filter out an optimal merging entrance for the ego vehicle to merge into the target lane and determining a probability value associated with an intention of a driver of a following neighboring vehicle to yield to allow the ego vehicle to merge into the target lane. The system and method further include controlling the ego vehicle to autonomously continue traveling within the current lane or autonomously merge from current lane to the target lane based on at least one of: if the optimal merging entrance is filtered out and if the probability value indicates an intention of the driver to yield.

Abstract: A vehicle may include a frame structure, a body mounted to the frame structure, and a vehicle navigation system. The vehicle navigation system may include a navigation sensor mounted to the frame structure, and a processor in communication with the navigation sensor. The navigation sensor may be configured to detect reference elements disposed in or on a road on which the vehicle travels. The processor may be configured to receive, from the navigation sensor, signals indicative of a sequence or pattern of detected reference elements. The processor may also be configured to determine, using the received signals, at least one of a position, velocity, or orientation of the vehicle on the road.

Abstract: A vehicle controller includes: a recognition unit that recognizes a surrounding state of a subject vehicle traveling in a road lane; an area specification unit that specifies a specific area in the lane in which the subject vehicle travels; and a driving control part that controls the subject vehicle with respect to a vehicle traveling ahead thereof, based on a result recognized b the recognition unit. The driving control part determines a condition of shifting from a first support status to a second support status such that there is a vehicle traveling ahead of the subject vehicle in the lane; and, if the subject vehicle enters the specific area at the first support status, the subject vehicle keeps the first support status, and if the subject vehicle enters the specific area at the second support status, shifts the support status from the second to the first support status.

Abstract: A method for controlling in an automated manner a motor vehicle (10) traveling on a road (12) in a current lane (14) is suggested, wherein the road (12) has at least one further lane (16). The method comprises the following steps: At least two preliminary driving maneuvers are generated and/or received, which include a lane change from the current lane (14) to the at least one further lane (16) and a starting time of the lane change. The starting times of the at least two preliminary driving maneuvers are at different times. The at least two driving maneuvers are compared taking into account the respective starting times. One of the starting times is selected based on the comparison. Further, a control device for a system for controlling a motor vehicle is also suggested.

Abstract: A method for measuring a windspeed vector is described. A true airspeed vector of a flying machine is measured while the machine is in flight using one or more nanowires on the flying machine. Each nanowire is configured to measure a value of local air velocity relative to the flying machine. A velocity of the flying machine relative to the ground is measured while the machine is in flight, and then (a) the true airspeed vector is subtracted from (b) the velocity of the flying machine relative to the ground. Other applications are also described.

Abstract: A component of an Autonomous Vehicle (AV) system, the component having at least one processor; and a non-transitory computer-readable storage medium including instructions that, when executed by the at least one processor, cause the at least one processor to decode data encoded in a signal, wherein the data identifies a pattern of protrusions embedded in a driving surface, the signal being received from at least one vehicle sensor resulting from a vehicle driving over the pattern of protrusions in the driving surface.

Abstract: A driving assist method minimizes an incidence of lane changing within a circulatory roadway. In this driving assist method, a recognition assessment processor assesses the travel of a host vehicle, calculates a travel route over which the host vehicle is to travel, and executes a driving assist control based on the travel route. The recognition assessment processor further assesses whether the host vehicle has arrived at a roundabout having a circulatory roadway to which three or more radial roadways are connected. When an assessment has been made that the host vehicle has arrived at the roundabout, a position of a host vehicle entrance and a position of a host vehicle exit are specified. Furthermore, an entrance position is set based on a positional relationship between the host vehicle entrance and the host vehicle exit.

Abstract: A method for fusing a first occupancy map and a second occupancy map comprises: determining at least one fusion parameter representing a potential dissimilarity between the first occupancy map and the second occupancy map and determining a fused occupancy map representing free and occupied space around the vehicle. The fused occupancy map is determined based on the first occupancy map, the second occupancy map, and a fusion rule. The fusion rule is configured to control the influence of the first occupancy map and/or the second occupancy map on the fused occupancy map based on the at least one fusion parameter.

Abstract: The present disclosure relates generally to techniques for the kinematic estimation and dynamic behavior estimation of autonomous heavy equipment or vehicles to improve navigation, digging and material carrying tasks at various industrial work sites. Particularly, aspects of the present disclosure are directed to obtaining a set of sensor data providing a representation of operation of an autonomous vehicle in a worksite environment, estimating, by a trained model comprising a Gaussian process, a set of output data based on the set of sensor data, controlling an operation of the autonomous vehicle in the worksite environment using input data derived from the set of sensor data and the set of output data, obtaining actual output data from the operation of the autonomous vehicle in the worksite environment, and updating the trained model with the input data and the actual output data.

Abstract: Disclosed are an apparatus and a method for controlling a lane change using V2V communication information and an apparatus for calculating tendency information for the same. According to the apparatuses and the method, it is possible to improve safety when changing lanes by receiving diving information of drivers of other vehicles from communication modules of the other vehicles, generating tendency information of the drivers of the other vehicles on the basis of the driving information, and performing lane change control using the tendency information.

Abstract: When a subject vehicle performs first autonomous lane change control from a subject vehicle lane to an adjacent lane and then consecutively perform autonomous lane change control to a next adjacent lane in the same direction of lane change, lateral speed to perform second and subsequent autonomous lane change control is set slower than lateral speed to perform the first autonomous lane change control. Thus, the second and subsequent autonomous lane change control to the adjacent lane in the same direction of lane change is performed more slowly than the previously performed autonomous lane change control. Time used for confirming surrounding situations is lengthened, and the surrounding situations can be properly confirmed prior to the lane change.

Abstract: A vehicle control device includes a recognition unit configured to recognize surrounding conditions of a vehicle, a driving control unit configured to control a speed and a steering of the vehicle on the basis of a result of recognition from the recognition unit, and a reception unit configured to receive an operation of an occupant of the vehicle of selecting on which of a first path and a second path the vehicle is to travel at a branching point through which the vehicle passes. The driving control unit is configured to control the speed and the steering of the vehicle in a plurality of modes with different automation levels, to decrease the automation level at a point before the branching point, and to delay a time at which the automation level is decreased when the operation of selecting one of the first path and the second path is received by the reception unit in comparison with when the operation is not received.

Abstract: The disclosure provides, inter alia, a method that includes obtaining transport information for a transport order, wherein the transport information represents at least one destination position. The method includes obtaining transport convoy information, wherein the transport convoy information represents at least one identifier of a transport convoy, and wherein a planned route of the transport convoy and a transport route between the current position of the transport vehicle and the destination position associated with the transport order comprise a common route section. The method also includes capturing and/or causing the capture of a first surroundings parameter, detecting the transport convoy at least in part based on the captured first surroundings parameter and the obtained transport convoy information, and if the transport convoy is detected, following the transport convoy in the transport vehicle and/or causing the transport vehicle to follow the transport convoy.

Abstract: A traffic safety control method is provided. The method includes obtaining first related information of a road when a vehicle is traveling on a road. Second related information is detected using a detecting device of the vehicle when the first related information indicates that there is the intersection in front of the vehicle on the road. The vehicle is controlled according to the first related information and the second related information.

Abstract: Techniques are provided which may be implemented using various methods and/or apparatuses in a vehicle to utilize vehicle external sensor data, vehicle internal sensor data, vehicle capabilities and external V2X input to determine, send, receive and utilize V2X information and control data, sent between the vehicle and a road side unit (RSU) to determine intersection access and vehicle behavior when approaching the intersection.

Abstract: A travel assistance method for a vehicle, executed by the processor, comprising: detecting a road structure including a merging point where a merging lane and a merged lane merge, detecting a state of another vehicle traveling toward a merging point, setting, based on the road structure, a merging position relative to a traveling vehicle (other vehicle) traveling in the merged lane and a determination criterion for determining whether or not merging is possible at the merging position, and determining whether or not merging is possible based on the state of the subject vehicle, the state of the other vehicle and the determination criterion.

Abstract: A position acquisition device includes a learning execution unit that learns a change value of an on-board sensor, a changing unit that changes an output value of the on-board sensor based on the change value, a position calculation unit that calculates a traveling position of the vehicle based on the output value of the on-board sensor changed by the changing unit, and an output unit that outputs a progress status of the learning by the learning execution unit and the traveling position of the vehicle calculated by the position calculation unit. An application execution device determines whether the output of the position acquisition device is able to be used for executing the application based on the progress status and the traveling position acquired from the position acquisition device.

Abstract: An artificial intelligence robot cleaner is provided. The artificial intelligence robot cleaner includes a driving unit configured to drive the artificial intelligence robot cleaner, a cleaning unit configured to remove contaminant, a rear camera configured to photograph a rear area of the artificial intelligence robot cleaner, and a processor configured to determine whether cleaning of an already cleaned area is completed by using the image of the rear area of the artificial intelligence robot cleaner, and if the cleaning is not completed, control the driving unit and the cleaning unit to reclean the area where the cleaning is not completed.

Abstract: A work machine with a sensing assembly that identifies characteristics of an underlying surface and a distribution assembly that distributes material to the underlying surface. Wherein, the sensing assembly identifies the characteristics of the underlying surface and the distribution assembly distributes varying amounts of material based on the characteristics as the work machine moves along the underlying surface.

Abstract: When deriving a preparation-unrequired route which enables a construction machine to travel only within a permissible range of a gradient until reaching a destination, a controller causes an output part to output information about the preparation-unrequired route. When not deriving the preparation-unrequired route, the controller determines a location which needs preparation for a specific landform to enable the construction machine to travel only within the permissible range of the gradient until reaching the destination, and causes the output part to output information about the location which needs the preparation and about the traveling route.