Abstract: A state of charge (SOC) control method for improving fuel efficiency of a hybrid vehicle may include monitoring an SOC of a battery of the vehicle, determining, by a controller, a change rate in SOC reduction based on the monitored SOC, and performing, by the controller, SOC anti-reduction control based on the determined change rate in the SOC reduction.

Abstract: If the destination has not been input, it is judged whether the present location is on the expressway (step S32). If the judgement result of the step S32 is positive, it is judged whether or not the actual SOC is less than or equal to the threshold TH2 (step S34). If the judgement result of the step S34 is positive, the restoring control is executed (step S36). Subsequent to the step S34 or S36, it is judged whether or not the vehicle is still on the expressway (step S38). If the judgement result of the step S38 is positive, it is judged whether or not the actual SOC is greater than or equal to the SOC_T2 (step S42). If the judgement result of the step S42 is positive, the maintaining control is executed (step S44).

Abstract: Methods and systems are provided for propelling a hybrid electric vehicle under circumstances where a torque degradation event associated with an electric machine that is used for propulsive effort is indicated. In one example, a method may include propelling the vehicle at least in part via a first electric machine that provides torque to front wheels and/or via a second electric machine that provides torque to rear wheels of the vehicle, and continuing to propel the vehicle via adjusting operation of both the first and the second electric machine in response to an indication of a torque degradation event associated with one of the electric machines. In this way, a vehicle shutdown event may be avoided.

Abstract: An electric-brake controller controls an electric brake operable by an electric motor. The electric-brake controller includes: a rotation-angle obtainer including (i) a relative-rotation-angle obtaining unit that obtains a relative rotation angle of the electric motor for a set time, based on values output and received from a rotation-angle sensor at intervals of the set time, and (ii) an absolute-rotation-angle obtaining unit that calculates the obtained relative rotation angle with consideration of an orientation of the relative rotation angle to obtain an absolute rotation angle that is a rotation angle of the electric motor from a start of its operation; a recognition-error detector that detects a recognition error in the rotation-angle obtainer based on the obtained absolute rotation angle or a changing state of the absolute rotation angle; and a motor controller that controls the electric motor based on a result of detection performed by the recognition-error detector.

Abstract: A multicopter including motors driving propellers, a first interface providing parameters including: a position of a center of gravity of the multicopter, time derivatives, an orientation of the multicopter and its time derivative; a second interface providing power generated by respective propellers; a first unit, based on the parameters, a provided model that describes dynamics of the multicopter, and an estimation of a force wrench acting externally on the multicopter, the estimation based on based on the model, determines horizontal components of a relative speed of the multicopter in relation to air; a second unit which, based on the horizontal components and power, determines a vertical component of the relative speed; a third unit which, based on the horizontal components, vertical component, and parameters, determines a wind speed in an inertial system; and a storage unit to store wind speeds and/or a transmission unit to wirelessly transmit the wind speeds.

Abstract: One embodiment provides a method comprising receiving a flight plan request for a drone. The flight plan request comprises a drone identity, departure information, and arrival information. The method further comprises constructing a modified flight plan for the drone based on the flight plan request, wherein the modified flight plan represents an approved, congestion reducing, and executable flight plan for the drone, and the modified flight plan comprises a sequence of four-dimensional (4D) cells representing a planned flight path for the drone. For each 4D cell of the modified flight plan, the method further comprises attempting to place an exclusive lock on behalf of the drone on the 4D cell, and in response to a failure to place the exclusive lock on behalf of the drone on the 4D cell, rerouting the modified flight plan around the 4D cell to a random neighboring 4D cell.

Abstract: A method and system provide the ability to automatically control a vehicle to avoid obstacle collision. Range data of a real-world scene (including depth data to static objects) is acquired. Positions and velocities of moving objects are acquired. The range data is combined into an egospace representation for pixels in egospace that is specified with respect to a radially aligned coordinate system. An apparent size of the static objects is expanding, in the egospace representation, based on a dimension of the vehicle. A speed of the vehicle is specified. A velocity obstacle corresponding to the moving objects is constructed. A mask is created in the coordinate system and identifies candidate radial paths that will result in a collision between the vehicle and the moving objects. The mask is combined with the egospace representation that is then used to determine a path for the vehicle.

Abstract: In some implementations, a device may receive a two-dimensional layout of an area to be captured by a scanner and scanner parameters associated with the scanner. The device may calculate a reduced field of view for the scanner based on the scanner parameters. The device may calculate, based on the two-dimensional layout and the reduced field of view, a point cloud capture plan identifying a minimum quantity of locations in the area at which to position the scanner to capture all of the area. The device may modify the point cloud capture plan, based on obstructions identified in the two-dimensional layout and based on the reduced field of view, to generate a modified point cloud capture plan, and may optimize the modified point cloud capture plan to generate a final point cloud capture plan. The device may perform one or more actions based on the final point cloud capture plan.

Abstract: An electronic device may be provided with control circuitry for locating lost items. The control circuitry may determine where an item is located and may use the display or other output device to guide a user to the item. The display may display a visual guide such as an arrow, a sphere, a circle, a compass, or other visual aid that points the user in the direction of the item. The control circuitry may change the size or other characteristic of the visual aid on the display as the distance between the electronic device and the object changes. The control circuitry may change the location of the visual aid on the display as the orientation of the electronic device relative to the object changes. The display may overlay the visual aid onto live images of the user's surroundings as they are captured by a camera.

Abstract: The present teaching relates to method, system, medium, and implementation of a global model update center. At least one model is established at the model update center for detecting objects surrounding each of autonomous driving vehicles of a fleet. A plurality of labeled data items are received, from the fleet of autonomous driving vehicles, where each of the labeled data items is detected, based on the at least one model, from sensor data characterizing surroundings of the autonomous driving vehicles. The labeled data items are generated automatically on-the-fly by the autonomous driving vehicles. Based on the received labeled data items, at least some of the models are updated and model update information is accordingly generated. Such generated model update information is then distributed to the fleet of autonomous driving vehicles.

Abstract: An unmanned aerial vehicle (UAV) adapted for transit in and deployment from a projectile casing is provided. The UAV includes a wing assembly coupled to the projectile casing and the wing assembly moveable between a closed position and a deployed position. The UAV further includes a propulsion system including at least one rotor disposed on the wing assembly to generate lift, wherein in the closed position, the wing assembly is substantially integral with the projectile casing and in the deployed position, the wing assembly is extended outwards from the projectile casing.

Abstract: Motion controls for a mobile drive unit adjust linear acceleration for laden mobile drive units to decrease the likelihood of the payload tipping or bouncing off the mobile drive unit and adjust angular acceleration to reduce the risk of the drive wheels slipping while the casters align with the direction of travel.

Abstract: A method, a system, and a computer program product may be provided for updating a map database to indicate presence status of a road sign. The method may include receiving a road sign observation from at least one vehicle. The method may further include determining a road sign confidence score based on the received road sign observation, wherein the road sign observation comprises at least one of a positive road sign observation and a negative road sign observation. Additionally, the method may include updating the map database to indicate the presence status of the road sign based on the road sign confidence score being above a predetermined threshold, wherein the confidence score is based on at least one of the positive road sign observation and the negative road sign observation.

Abstract: An information collection system enables crackdown on traffic violations by vehicles to be carried out in a preferable manner. The information collection system includes an autonomous mobile object that moves autonomously based on an operation command and a server apparatus. The autonomous mobile object includes a driving information acquirer that acquires driving information relating to the state of driving of a nearby vehicle, image acquirer that captures an image of the environment of the autonomous mobile object, a detector that detects a traffic violation by a nearby vehicle based on the driving information, and a controller that sends violation information relating to a traffic violation to the server apparatus. When a traffic violation is detected by the detector, the controller sends a captured image relating to the violator's vehicle and the driving information about the violator's vehicle, to the server apparatus as the violation information.

Abstract: A method is provided for generating lane-level route guidance. Methods may include generating a first lane-level maneuver pattern between an origin and a destination based on a database of historical probe data points, each probe data point received from a probe apparatus of a plurality of probe apparatuses, where the lane-level maneuver pattern includes a recommended lane of travel along the route between the origin and the destination based on at least one of relative safety, relative popularity, or relative efficiency of the lane-level maneuver pattern; receiving a plurality of real-time or near real-time probe data points; generating an updated lane-level maneuver pattern between the origin and the destination based on the first lane-level maneuver pattern and the plurality of real-time or near real-time probe data points; and providing for route guidance of a vehicle based on the updated lane-level maneuver pattern.

Abstract: The disclosure relates to a method for operating a piloted motor vehicle, comprising the following steps carried out by a control device: determining a parking time period and a parking location of the motor vehicle on the basis of an appointment calendar signal received from a mobile terminal, which appointment calendar signal describes at least one appointment and a waiting location of the motor vehicle associated with the appointment, and creating an operating plan for the motor vehicle in accordance therewith. In accordance with at least one task signal, each of which describes a travel destination to which the motor vehicle should drive, a linking route for linking at least one travel destination to the parking location and a corresponding travel time are determined.

Abstract: Embodiments include apparatuses, methods, and systems for computer assisted or autonomous driving. An apparatus may include a storage and a safety operation controller disposed in a computer assisted or autonomous driving vehicle. The storage may store a safety operation configuration and a list of safety operations to be performed on one or more device components. The safety operation configuration and the list of safety operations may be provided by a first party. The safety operation configuration may be used to configure selected ones of the list of safety operations by a second party different from the first party to obtain configured safety operations to be performed on the one or more device components. The safety operation controller may perform the configured safety operations on the one or more device components. Other embodiments may also be described and claimed.

Abstract: A system can analyze a live sensor view of a self-driving vehicle (SDV) in accordance with a safety threshold to detect objects of interest along a route and classify each detected object of interest. When the safety threshold is not met, the system can transmit a teleassistance inquiry using LIDAR data to a backend computing system. When a certainty threshold is not met for an object of interest, the system can transmit a different teleassistance inquiry using image data to the backend computing system.

Abstract: In one aspect, a method for pre-emptively adjusting machine parameters based on predicted field conditions may include monitoring an operating parameter of as the agricultural machine makes a first pass across a field. The method may also include initiating active adjustments of the travel speed of the machine based on the operating parameter as the machine makes the first pass. Furthermore, the method may include generating a map based on the travel speed and the operating parameter that included efficiency zones associated with one or more travel speeds. Moreover, the method may include determining predicted efficiency zones for an adjacent second swath within the field based on efficiency zones of the first swath within the field map. Additionally, the method may include pre-emptively initiating adjustments of the travel speed as the machine makes a second pass across the field based on the efficiency parameter for each predicted efficiency zone.

Abstract: A method of operating an industrial machine. The method including controlling, via a controller, a movable component of the industrial machine based on a first signal received from an operator control and controlling, via the controller, the movable component of the industrial machine according to an autonomous operation in response to a second signal. The method further including adjusting the autonomous operation to generate an adjusted autonomous operation in response to receiving a third signal from the operator control and controlling, via the controller, the movable component of the industrial machine according to the adjusted autonomous operation in response to receiving a fourth signal.