Abstract: An unmanned transport vehicle according to an embodiment includes a vehicle body, a moving mechanism, and an operation control device. The vehicle body is combinable with a transport object. The moving mechanism causes the vehicle body to be moved. The operation control device controls an operation of the moving mechanism. The operation control device includes a pseudo-reference position setter, a path acquirer, an operation command generator, and a driving controller. The pseudo-reference position setter sets a pseudo-reference position serving as an operation reference position of a combination structure of the vehicle body and the transport object to be different from a vehicle body reference position that is an operation reference position of the vehicle body. The path acquirer acquires a movement path from a current position of the combination structure to a target position.

Abstract: An autonomous vehicle is provided. The autonomous vehicle includes a vehicle control device positioned proximate a forward end of the autonomous vehicle. The autonomous vehicle further includes a passenger seat. The passenger seat defines a seating orientation and is configurable in at least a first position and a second position. When the passenger seat is in the first position, the seating orientation is directed towards the rear end of the autonomous vehicle. In addition, the vehicle control device is substantially obscured from access from a passenger compartment of the autonomous vehicle. When the passenger seat is in the second position, the seating orientation is directed towards the forward end of the autonomous vehicle. In addition, the vehicle control device is accessible from the passenger compartment of the autonomous vehicle.

Abstract: A method for initializing a tracking algorithm for target objects, includes generating a 3D point cloud of the target object and iteratively determining a spatial position and orientation of the target object using a 3D model. A spatial position and orientation of the target object is first determined using an artificial neural network, thereafter the tracking algorithm is initialized with a result of this determination. A method for training an artificial neural network for initializing a tracking algorithm for target objects includes generating a 3D point cloud of the target object by a scanning method, and iteratively determining a spatial position and orientation of the using a 3D model of the target object. The artificial neural network is trained using training data to initially determine a spatial position and orientation of the target object and thereafter initialize the tracking algorithm with a result of this initial determination.

Abstract: An autonomous vehicle, system and method of operating the autonomous vehicle. The system includes an episodic memory, a hyper-association module and a navigation system. The episodic memory stores a plurality of episodes, recalls a plurality of candidate episodes in response to receiving a partial prefix and recalls a hypothesis episode in response to receiving an intermediate episode. The hyper-association module receives the plurality of candidate episodes from the episodic memory and obtains the intermediate episode from the plurality of candidate episodes. The navigation system navigates the autonomous vehicle using the hypothesis episode.

Abstract: A method for controlling the lateral movement of a terrestrial vehicle arranged to track a predetermined trajectory, particularly in an assisted driving or autonomous driving scenario, comprising: determining a lateral offset of the vehicle center of mass from the predetermined trajectory; determining a look-ahead error defined as a distance of a virtual look-ahead position of the vehicle center of mass from the predetermined trajectory; and controlling the steering angle of the vehicle so as to also minimize the lateral offset and the first derivative of said look-ahead error over time.

Abstract: It includes an intensity pattern determination section to determine an intensity pattern indicating a distribution of a magnitude of a target quantity in at least a part of a moving path of the moving object, a subarea determination section to determine, among a plurality of subareas, one or more subareas having an intensity pattern which matches or is similar to an intensity pattern determined by the intensity pattern determination section based on map information which associates area identification information which identifies each of a plurality of subareas included in a target region having a predetermined geographic range and an intensity parameter indicating a magnitude of a target quantity premeasured in the subarea, and an output section to output, as a location of the moving object, one or more subareas determined by the subarea determination section.

Abstract: A controller and a control method capable of appropriately assisting with a rider's operation while suppressing falling of a motorcycle, departure of the motorcycle from a lane, a difficulty of the motorcycle in adaptive cruise, and the like is disclosed. In the controller and the control method according to the present invention, in a control mode to make the motorcycle perform autonomous cruise acceleration operation, automatic acceleration that is acceleration generated to the motorcycle by the autonomous cruise acceleration operation is controlled in accordance with a lean angle of the motorcycle.

Abstract: A method of operating a rear wiper system of a vehicle that includes monitoring an operational status of a full display mirror system of the vehicle, and automatically activating the rear wiper system when the full display mirror system is switched from an active mode to an inactive mode.

Abstract: An apparatus for controlling parking of a vehicle, a system having the same, and a method for the same are provided. The apparatus for controlling parking of a vehicle includes a processor to stop the vehicle when the vehicle arrives at a target parking space while performing an automatic parking of the vehicle to the target parking space, to adjust a steering angle, and to terminate the automatic parking after moving the vehicle for a predetermined distance when the steering angle is adjusted and the steering angle is greater than a preset threshold angle and a storage to store a parking path and the threshold angle.

Abstract: A vehicle control device includes a recognition unit which recognizes surrounding situations of a vehicle, and a driving control unit which automatically controls at least steering of the vehicle based on the surrounding situations recognized by the recognition unit, and the driving control unit increases a distance between the vehicle and a traffic participant in the case where the recognition unit recognizes the traffic participant as an overtaking target and a predetermined structure in a traveling direction of the vehicle, and the vehicle travels on a side opposite to the predetermined structure in a road width direction in a case that viewed from the traffic participant to overtake the traffic participant, as compared to a case where the traffic participant as the overtaking target is recognized by the recognition unit in the traveling direction of the vehicle and the predetermined structure is not recognized.

Abstract: An apparatus for controlling a lane change of a vehicle includes: a sensor to sense an external vehicle, an input device to receive a lane change command from a driver of the vehicle, and a control circuit to be electrically connected with the sensor and the input device. The control circuit may receive the lane change command using the input device, calculate a minimum operation speed for lane change control, and determine whether to accelerate the vehicle based on a distance between a preceding vehicle which is traveling on the same lane as the vehicle and the vehicle, when a driving speed of the vehicle is lower than the minimum operation speed when receiving the lane change command.

Abstract: A vehicle control system includes: a recognizer that recognizes a surrounding environment of a vehicle; a driving controller that performs speed control and steering control of the vehicle regardless of an operation of an occupant on the basis of a recognition result obtained by the recognizer; and a wiper controller that controls a wiper attached to a window of the vehicle, wherein the wiper controller changes a degree of operation of the wiper according to a boarding position and a degree of approach when the vehicle moves to the boarding position at which an occupant boards the vehicle after the vehicle starts traveling under the control of the driving controller or when the vehicle starts traveling to move away from the boarding position under the control of the driving controller after the occupant alights from the vehicle.

Abstract: The invention relates to a method for controlling a soil working means, based on an image processing. Such a soil working means comprises a locomotion member and a working member. The method comprises the steps of acquiring at least one digital image of the soil by means of digital image acquisition means installed on the working means; processing, by means of an electronic processing unit, the at least one digital image acquired by performing at least one convolution operation on the digital image by means of a trained neural network; obtaining, by means of the electronic processing unit, at least one synthetic soil descriptor based on such a processing; generating, by means of the electronic processing unit, at least one control signal of the locomotion member or of the working member based on the synthetic soil descriptor.

Abstract: Provided is a technique for controlling an unmanned aerial vehicle in flight according to a battery level. A drone control device controls a drone according to a battery level, including: a flight distance calculation unit, calculating a flight distance according to an airframe position at any time point and a landing place of the drone; a battery status acquisition unit, acquiring the battery level of the drone; an estimated battery consumption calculation unit, calculating an estimated battery consumption when the drone flies over the flight distance calculated by the flight distance calculation unit; and a return decision unit, deciding, on the basis of the battery level of the drone and the estimated battery consumption, whether the drone is capable of flying over the flight distance and return.

Abstract: A host vehicle position estimation device includes a target recognition unit configured to recognize a relative position of the vertical position target relative to a host vehicle on the basis of a detection result of an external sensor of the host vehicle, an amount-of-position error calculation unit configured to calculate an amount of position error, an amount-of-steady error calculation unit configured to calculate an amount of steady error from a distribution of the amount of position error when it is determined that the distribution of the amount of position error satisfies a steady condition, and a host vehicle position estimation unit configured to perform estimation of a vertical position of the host vehicle using the amount of steady error when the relative position of the vertical position target relative to the host vehicle is not recognized.

Abstract: A vehicle control device controlling a vehicle capable of switching between an automatic driving mode and a driver involvement mode in which a driver is involved includes a blind spot boundary specifying unit configured to specify a boundary of a region becoming a blind spot of the vehicle, a traveling plan generation unit configured to generate a traveling plan in which the vehicle does not collide with a moving body assumed to be positioned on the blind spot boundary specified by the blind spot boundary specifying unit, a determination unit configured to determine whether or not the traveling plan generated by the traveling plan generation unit satisfies a predetermined condition, and a switching unit configured to switch the vehicle from the automatic driving mode to the driver involvement mode when the determination unit determines that the traveling plan satisfies the predetermined condition.

Abstract: A steering system for a vehicle includes a hub connected to a steering column of the vehicle, a spoke connected to the hub, a rim disposed around the hub and connected to the spoke so as to be rectilinearly movable, a first gear provided in the spoke and rotated by a power source, and a second gear that is provided on the rim so as to be engaged with the first gear and rectilinearly moved by the rotation of the first gear and that moves the rim relative to the spoke.

Abstract: A system and method for mitigating or avoiding risks due to hazards encountered by platooning vehicles. The system and method involve interrogating, with one or more sensors, a space radially extending from a lead vehicle as the lead vehicle travels over the road surface, perceiving the environment within the space, ascertaining a hazard caused by an object in the space, and causing a following vehicle, operating in a platoon with the lead vehicle, to take a preemptive braking action to avoid or mitigate risks resulting from the hazard caused by the object in the space.

Abstract: A trailer mounted proportional brake controller for a towed vehicle and a method of controlling the brakes of a towed vehicle is described. The brake control unit may control the brakes of a towed vehicle. The brake control unit may include a power control unit and a hand control unit. The power control unit may be connected to the brakes of the towed vehicle and the power control unit may be capable of selectively controlling the brakes of the towed vehicle based on a set of braking parameters. The hand control unit may be configured to remotely communicate with the power control unit. The hand control unit may be capable of transmitting information to the power control unit to adjust at least one of the braking parameters and receiving information from the power control unit.

Abstract: Provided is a moving object detector capable of acquiring a position history of a moving object that is less affected by the behavior of a subject vehicle. In a moving object detector, a moving-object relative position acquiring unit acquires position coordinates of a moving object expressed in a subject-vehicle-based coordinate system that is based on the position of a subject vehicle. A subject-vehicle state quantity acquiring unit acquires the state quantity of the subject vehicle. A coordinate converter generates a history of position coordinates of the moving object expressed in a moving-object-based coordinate system that is based on the position of the moving object, on the basis of the position coordinates of the moving object expressed in the subject-vehicle-based coordinate system, and the state quantity of the subject vehicle.