Abstract: A computer for an energy management system of an electric vehicle includes a processor. The computer further includes a memory including instructions such that the processor is programmed to determine a value function V based on a plurality of actions U in a plurality of states S. The processor is further programmed to select an action associated with a highest reward value at a current state S. The action U is an HVAC subsystem variable. The state S is a traction power drawn from a rechargeable energy storage system (RESS) to operate a traction subsystem, a base power input drawn from the RESS to operate an HVAC subsystem, a nominal reference cabin heat input set-point determined by the local HVAC processor, an acceleration of the electric vehicle, a current vehicle speed, an average vehicle speed, and a calibrated average vehicle speed estimate.

Abstract: Method, system, and user terminal are disclosed for splicing a flight route splicing m. Various embodiments may includes: obtaining a first flight route and a second flight route of an unmanned aerial vehicle; extracting a flight height of a highest waypoint having a greatest flight height in the first flight route and the second flight route and ground elevations of a series of waypoints between a termination waypoint of the first flight route and a start waypoint of the second flight route; obtaining a flight height of an intermediate flight route; determining the intermediate flight route; and splicing the first flight route and the second flight route according to the intermediate flight route to generate a spliced flight route.

Abstract: A collaborative autonomous ground vehicle or robot for traversing a ground surface is disclosed. The robot is a wheeled vehicle includes two camera groups and other sensors to sense the environment in which the robot will operate. The robot includes a control system configured to operate in a teach mode to learn a route by either following a person or preceding a person and to store the learned route as a taught route. The control system is configured for identifying persons and objects, such as obstacles, within the fields of view of the camera groups. When the robot is in its repeat mode it will take the taught route over the ground surface and take appropriate action if an obstacle is identified in the field of view.

Abstract: A controller controls a shift operation of a propulsion device between forward, neutral, and reverse, and steering of the propulsion device in accordance with a tilt operation of a joystick. The controller stores a control state of the propulsion device according to the tilt operation of the joystick when a switch is operated. The controller maintains the propulsion device in the control state even when the joystick is returned to the neutral position.

Abstract: A wakeboat creates a wake, the performance level of the wake varying depending upon the mass of the wakeboat, the wakeboat including a hull; an engine supported by the hull; a controller supported by the hull; a processor coupled to the controller; a memory coupled to the processor; a sensor configured to measure at least one parameter of the wakeboat, the controller being coupled to the sensor and being configured to receive data from the sensor, the controller being configured to derive the present mass of the wakeboat from said sensor data, the controller being configured to determine the present wake performance level of the wakeboat based on the present mass of the wakeboat; and a tablet computer coupled to the controller, the controller being configured to use the tablet computer to indicate the present wake performance level of the wakeboat.

Abstract: An apparatus includes: a driving route calculator configured to obtain vehicle information about a vehicle and calculate a driving path of the vehicle; an object detector configured to detect an object near the vehicle or the driving path of the vehicle using one or more sensors mounted on the vehicle, and obtain object information on the object; and an acoustic signal processor configured to control a frequency and a volume of an acoustic signal based on the vehicle information and the object information, and transmit the acoustic signal to a speaker mounted on the vehicle.

Abstract: A bicycle with an electric pedal assist motor capable of driving a chainring independent of cranks includes wheel speed sensors and crank cadence sensors. The wheel speed sensors and the crank cadence sensors measure wheel speed and crank cadence, respectively, and provide the measured wheel speed and crank cadence to controller of the bicycle. The controller activates motor overdrive based on the measured wheel speed and/or the measured crank cadence.

Abstract: A display apparatus for a vehicle includes: a controller configured to create a 3D map based on a neon view by selecting essential information among map information; and a display device configured to display the 3D map based on the neon view created by the controller, wherein the controller displays a structure on a background screen of the map information by using a shadow or displays the structure on a dark background screen by using an outline of the structure when the 3D map based on the neon view is created.

Abstract: In an example, an unmanned aerial vehicle (UAV) is disclosed, which includes an avionics system, a propulsion system, vertical-lift rotors, and a controller. The controller performs operations including, in response to detecting loss of operation of the propulsion system, determining energy and time constraints based on (i) a remaining avionics battery life and (ii) a remaining rotor battery life. The operations also include using a rotor edgewise inflow model stored on the controller, evaluate parameters for a glide descent trajectory and subsequent rotor-powered flight trajectory to a candidate landing site, to determine whether, based on evaluation of the parameters, an estimated energy consumption during the rotor-powered flight trajectory and time needed for the UAV to land at the candidate landing site exceed the constraints.

Abstract: This disclosure relates to a system and method for detecting execution of driving maneuvers based on pre-determined driving maneuver profiles. Some or all of the system may be installed in a vehicle and/or be otherwise coupled with a vehicle. In some implementations, the system may detect execution of driving maneuvers by the vehicle based on pre-determined driving maneuver profiles. The system may include one or more sensors configured to generate output signals conveying information related to the vehicle. In some implementations, the system may detect execution of the driving maneuvers by the vehicle based on a comparison of the information conveyed by the output signals from the sensors to criteria included in the pre-determined driving maneuver profiles.

Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.

Abstract: Systems and methods can improve passenger safety for an Autonomous Vehicle (AV) based on the integration of sensor data captured by the AV's interior and exterior sensors. The AV can determine passenger occupancy data corresponding to where each passenger is detected within the AV by the interior sensors. The AV can determine multiple sets of one or more driving actions that the AV can perform at a future time. The AV can generate crash impact data corresponding to where each passenger is detected from one or more simulated collisions between the AV and one or more objected detected by the exterior sensors when the AV performs one or more sets of driving actions from among the multiple sets. The AV can determine ranked sets of driving actions based on the passenger occupancy data and the crash impact data.

Abstract: Systems and methods of using satellite signal strength to determine indoor/outdoor transition points for places are disclosed herein. In some example embodiments, a computer system accesses service data and sensor data for a plurality of requests for a transportation service associated with a place, with the service data comprising pick-up data indicating a pick-up location and drop-off data indicating a drop-off location, and the sensor data comprising satellite signals indicating a pick-up path or a drop-off path, with the satellite signals each having a corresponding signal strength. The computer system determines a transition geographic location for the place based on the signal strengths of the satellite signals.

Abstract: Examples described herein provide a computer-implemented method that includes defining, by a processing device, a plurality of parameters so that any orthogonal intersection can be described. The method further includes building, by the processing device, an orthogonal parameterized model that can represent any orthogonal intersection based at least in part on the plurality of parameters that can describe any intersection of interest. The method further includes expanding, by the processing device, the orthogonal parameterized model to generate a fully parameterized intersection model that accounts for intersection complexities. The method further includes building, by the processing device, a low-fidelity analytical that computes various metrics based on the fully parameterized intersection model.

Abstract: Embodiments described herein relate to the field of transport, particularly motor vehicles. A motor with predictive adjustment is described, as well as a motor controller of a vehicle, which is capable of automatically adjusting a physical parameter of a motor, such as the width of the air gap of an electric motor. A motor of a vehicle can include at least one physical parameter capable of being adjusted according to characteristic data predicted from the current path of the vehicle based on data provided by at least one vehicle motor sensor. Thus, the motor can be automatically adjusted according to characteristic data predicted from the current path based on the data of a motor sensor for optimizing the use of the motor, with respect to a parameter such as power consumption, transmission efficiency, or rotor warming, regardless of the route.

Abstract: A device implementing a system for estimating device location includes at least one processor configured to receive a first estimated position of the device at a first time. The at least one processor is further configured to capture, using an image sensor of the device, images during a time period defined by the first time and a second time, and determine, based on the images, a second estimated position of the device, the second estimated position being relative to the first estimated position. The at least one processor is further configured to receive a third estimated position of the device at the second time, and estimate a location of the device based on the second estimated position and the third estimated position.

Abstract: A route risk mitigation system and method using real-time information to improve the safety of vehicles operating in semi-autonomous or autonomous modes. The method mitigates the risks associated with driving by assigning real-time risk values to road segments and then using those real-time risk values to select less risky travel routes, including less risky travel routes for vehicles engaged in autonomous driving over the travel routes. The route risk mitigation system may receive location information, real-time operation information, (and/or other information) and provide updated associated risk values. In an embodiment, separate risk values may be determined for vehicles engaged in autonomous driving over the road segment and vehicles engaged in manual driving over the road segment.

Abstract: Semi-autonomous vehicle apparatus which is controlled by a plurality of control sources includes a vehicle which may function autonomously and apparatus for control of the vehicle by either an onboard driver or a driver not situated onboard. The vehicle may also be controlled by an off-vehicle computational device. Hierarchy setting apparatus determines which one or combination of the possible control entities take priority. Persons using the apparatus are identified by either a password or, preferably by providing identification based on a biologic feature. Management of impaired vehicle operators is provided for.

Abstract: A wireless control system for a bicycle may include a base part attachable to a bicycle and a movable part. The control system may also include an electric motor disposed on the electromechanical component and a control unit disposed on the electromechanical component for operating the electric motor to operate the electromechanical component, the control unit including a wireless receiver. The control system includes a wake sensor connected to the control unit, the wake sensor configured to communicate a wake signal to the control unit.

Abstract: A human-powered vehicle control device includes a controller configured to control a motor that assists propulsion of a human-powered vehicle including a movable member that is extensible and retractable. The controller controls the motor in accordance with actuation of the movable member during an extending or retracting action of the movable member.