Abstract: A method to manage thermal propagation in an energy storage device of a battery electric vehicle is provided. The method includes operating the battery electric vehicle with a plurality of distinct battery cell module groups each separately providing electrical power to the battery electric vehicle. The method further includes, within a computerized battery cell module groups controller, monitoring conditions within the distinct battery cell module groups, determining occurrence of an abnormal event within one of a plurality of the distinct battery cell module groups based upon the monitored conditions, and controlling operation of the battery electric vehicle based upon the determined occurrence of the abnormal event.

Abstract: Embodiments disclosed herein provide for a method including configuring a self-learning safety sign to: establish vehicle-to-everything (V2X) communications with a two-wheeler equipped with a V2X transceiver and positioned at a ride point and/or ridden along a common and divergent route according to a setup stage for the safety sign; receive ride parameters in the V2X communications from the two-wheeler associated with the positioning and/or riding of the two-wheeler; and analyze the received ride parameters to create a ride model for determining a future route to be taken by any two-wheeler in V2X communication with the safety sign.

Abstract: A vehicular control system is presented where the contact patches of the vehicle have reduced impact on an environment. Vehicular control systems include force sensors and terrain sensors that provide real-time or near real-time information about the operating environment of a vehicle. The force sensor data may be used to derive one or more forces which can be used to infer the nature of the vehicles contact patches. As the vehicular control system detects changes in a terrain attribute from the terrain sensors, the vehicular control system determines what the contact patches should be to address the terrain change and determines the necessary forces to give rise to the target contact patches. The vehicular control systems may then adjust the operational parameter values of the vehicle to generate the target contact patches to thereby reduce the impact on the environment.

Abstract: A shovel includes an undercarriage, an upper swing structure swingably mounted on the undercarriage, an object detector provided on the upper swing structure, and a hardware processor configured to automatically braking a drive part of the shovel according to a predetermined braking pattern, in accordance with a distance between the shovel and an object, the distance being detected by the object detector.

Abstract: A materials handling vehicle includes a power unit, a load handling assembly and a positioning assistance system that provides assistance to an operator that is driving the vehicle. The assistance provided by the positioning assistance system includes at least one of an audible, tactile, or visual cue to indicate at least one of: a distance from the vehicle to a boundary object; or a heading of the vehicle with respect to the boundary object.

Abstract: A vehicle control device controls a vehicle including an occupant door and an opening and closing member for a shareable space. The vehicle control device is configured to control switching between a locked state and an unlocked state of an inlet, and to execute first control. In the first control, the inlet is switched to the unlocked state when the opening and closing member for the shareable space is unlocked by a user while the inlet is in the locked state. The inlet is not switched to the unlocked state when the opening and closing member for the shareable space is unlocked by a third person while the inlet is in the locked state.

Abstract: A system includes a memory device and a processing device, operatively coupled to the memory device, to obtain a set of predicted behavior data including data indicative of one or more predicted object behaviors for one or more respective objects in an environment of an autonomous vehicle, obtain a set of observed behavior data including data indicative of one or more observed object behaviors of the one or more objects, determine, based on a comparison of the set of predicted behavior data and the set of observed behavior data, whether a set of incorrect object behavior predictions exists within the set of predicted behavior data, and upon determining that the set of incorrect object behavior predictions exists, initiate, based on at least a generated subset of the set of incorrect object behavior predictions, one or more operations to address the set of incorrect object behavior predictions.

Abstract: A state data acquisition unit acquires state data indicating a state of a work machine at a plurality of times. A work determination unit determines a classification of a work of the work machine for each of the plurality of times based on the acquired state data. A period determination unit determines a start point and an end point of a period related to a predetermined classification among determined classifications of works. An index-value determination unit obtains an index value of the state of the work machine from the start point to the end point.

Abstract: A machine operating on a work surface includes a boom member, a feed assembly, a work device, a movable carrier including a lower structure and an upper structure movably coupled with the lower structure, and an actuator assembly adapted to move the upper structure relative to the lower structure. The machine also includes a sensor module configured to generate a first signal indicative of a first pitch angle. The machine further includes a control module configured to receive the first signal indicative of the first pitch angle. The control module is also configured to generate a second signal for controlling a movement of the actuator assembly based on the first signal. The control module is further configured to transmit the second signal to the actuator assembly in order to move the upper structure by a second pitch angle.

Abstract: A method for learning depth-aware keypoints and associated descriptors from monocular video for ego-motion estimation is described. The method includes training a keypoint network and a depth network to learn depth-aware keypoints and the associated descriptors. The training is based on a target image and a context image from successive images of the monocular video. The method also includes lifting 2D keypoints from the target image to learn 3D keypoints based on a learned depth map from the depth network. The method further includes estimating ego-motion from the target image to the context image based on the learned 3D keypoints.

Abstract: Provided is a feature which allows an electric power steering device to improve the steering feel. The electric power steering device includes: a basic control amount calculating section configured to calculate a basic control amount corresponding to steering by a driver; a frictional force calculating section configured to calculate, by using a friction model, a frictional force corresponding to a wheel angle-related value, which is a value relating to a wheel angle of a steering device, and calculate a friction-originated control amount, which originates from the calculated frictional force; and a control amount calculating section configured to calculate a steering control amount in accordance with the basic control amount and the friction-originated control amount.

Abstract: The invention relates to a method for determining a model of the environment of a vehicle, in which method an initial position estimate for the vehicle is acquired and map data are acquired, wherein the map data comprise information about the spatial arrangement of geographical areas, and the geographical areas are assigned to different area categories. Environmental data within an acquisition space is acquired, and objects are detected using the environmental data, wherein an object position and an object category are assigned to each detected object. The environmental model is determined using the detected objects. Assignment rules are provided which define the assignment of the object categories to the area categories, wherein the objects are detected in accordance with the assignment rules.

Abstract: An apparatus includes an interface and a processor. The interface may be configured to receive video frames comprising at least one of a vehicle or an outdoor environment near the vehicle and a correction signal. The processor may be configured to perform video operations on the video frames to detect objects, predict a state of the vehicle based on the objects detected in the video frames and generate the correction signal. The correction signal may be configured to apply a corrective measure based on the predicted state of the vehicle. The state of the vehicle may be predicted when the vehicle is parked in the outdoor environment. The state of the vehicle may comprise factors that prevent driving the vehicle.

Abstract: A map update control method and a map update control system for a vision robot are disclosed. The map update control method includes the following steps: S1, measured data of the map attributes is acquired; S2, when it is detected that the vision robot completes a traversal of the preset working region, whether the current map and a prestored historical map meet a preset matching degree is judged according to the map attribute measured data, in a case that the current map and the prestored historical map meet the preset matching degree, it is determined to store the current map; and S3, when it is determined to store information of the map attributes corresponding to the current map, the information of the map attributes corresponding to the current map is written in a map storage medium, to update information of the map attributes corresponding to the historical map.

Abstract: A map information assessment device has a processor configured to detect the end road zone located furthest on the destination location side, among the multiple road zones on the navigation route, to determine whether or not the end road zone is connected to another road zone on the destination location side, to detect the end road link on the navigation route which is associated with the end road zone when the end road zone is connected with another road zone on the destination location side, and to determine whether or not the end road link is connected with another road link representing the navigation route, which is not associated with the road zone on the destination location side, and to attach a predetermined attribute to the end road zone when the end road link is connected with another road link representing the navigation route.

Abstract: An aircraft assistance method for reducing drag on the aircraft. The method includes flying an autonomous aircraft near the aircraft. An optimal position where vortices created by the autonomous aircraft or the aircraft interact with the other aircraft and/or autonomous aircraft to reduce drag and/or increase lift on the aircraft is determined. The autonomous aircraft is positioned in the optimal position. The method may include a landing assistance system with at least one autonomous aircraft configured to provide the aircraft with information regarding a desired position relative to a runway. The at least one autonomous aircraft may be configured to communicate with the aircraft through a processor and/or a display in the aircraft. The autonomous aircraft may be subject to a drone control system for a plurality of drones configured to position the plurality of drones in a formation.

Abstract: A loading machine control device includes a measurement data acquisition unit acquiring measurement data of a measurement device mounted in a loading machine having working equipment, a target calculation unit calculating, based on the measurement data, a position of an upper end portion of a loading target to which an excavation object excavated by a bucket of the working equipment is loaded, a bucket calculation unit calculating position data of the bucket, an overlap determination unit determining whether the upper end portion of the loading target and the bucket that are in the measurement data overlap each other, and a working equipment control unit controlling the working equipment based on the measured position of the upper end portion of the loading target when it is determined that the upper end portion of the loading target and the bucket that are in the measurement data do not overlap each other.

Abstract: A compact utility loader compact utility loader comprising a frame, a first track and a second track positioned on either side of the frame, and a pair of loader arms. The loader arms are configured to couple with an attachment via a hitch plate and a hitch pin. The compact utility loader is configured such that as the loader arms are raised and lowered, the hitch pin follows a path approximately defined by a curve ƒ(x)=4.641e0.34x The value “x” represents a horizontal direction and the function f(x) represents a vertical direction.

Abstract: A detection system for a vehicle comprises a blind spot detection module and a glasses module. The blind spot detection module comprises a first video recording device recording a vehicle surrounding image; a first identification device generating a blind spot identification result; a first determination device determining whether to transmit the vehicle surrounding image and/or a blind spot warning message; and a transmitting device transmitting the vehicle surrounding image and/or the blind spot warning message.

Abstract: A storage facilities management device is configured to manage storage facilities such as storage sheds for keeping flight devices. Upon receiving instruction information including a takeoff/landing time of a flight device from a flight management device, the storage facilities management device acquires circumferential information representing circumstances of a storage shed before the takeoff/landing time so as to determine whether or not the flight device is able to take off at the takeoff time of the instruction information or to determine whether or not the flight device is able to land at the landing time of the instruction information according to the circumferential information, thus transmitting the determination result to the flight management device and allowing for takeoff or landing of the flight device according to the instruction information.