Abstract: A series-parallel monorail hoist based on an oil-electric hybrid power and a controlling method thereof. The monorail hoist includes a cabin, a hydraulic driving system, a lifting beam, a gear track driving and energy storage system, and a speed adaptive control system connected in series with each other and travelling on a track. The monorail hoist is capable of implementing an independent drive by an electric motor or a diesel engine in an endurance mode, a hybrid drive of the electric motor and the diesel engine in a transportation mode, and a hybrid drive of the diesel engine and a flywheel energy storage system in a climbing mode, according to different operating conditions that include conditions of an upslope, a downslope and a load. Power requirements for the monorail hoist under various operating conditions are satisfied, and the excess energy is recovered during the process of travelling.

Abstract: A method includes receiving vehicle data for a plurality of vehicles in a parking facility over time, the vehicle data including a time t1 indicating when each of the vehicles leaves its corresponding parking spot in the parking facility, and a time t2 indicating when each of the plurality of vehicles reaches an exit of the parking facility. An egress time is determined for each of the plurality of vehicles based at least in part on the corresponding times t1 and t2. A timestamp is assigned to each of the egress times, resulting in timestamped egress times. A current egress time of the parking facility is estimated based at least in part on the timestamped egress times. An action recommendation is based at least in part on the current egress time of the parking facility and is outputted for subsequent viewing by the driver of the particular vehicle.

Abstract: A vehicle includes a rolling chassis structure and a working component coupled to the rolling chassis structure. The rolling chassis structure includes a chassis, a non-working component, and a control interface. The non-working component is coupled to the chassis and is configured to facilitate transit operations for the rolling chassis structure. The control interface is disposed in a cab area of the chassis. The control interface is communicably coupled to the non-working component and is configured to control operation of the non-working component. The working component is configured to move relative to the chassis and is communicably coupled to the control interface. The control interface is configured to control movement of the working component.

Abstract: A method of tracking a movement of a target by an unmanned aerial vehicle (UAV), the method includes receiving, from a mobile terminal collocating with the target, absolute location coordinate data of the target, acquiring, by a camera of the UAV, image data of the target, determining, based on the absolute location coordinate data and the image data of the target, 3D location coordinate data of the target with respect to the UAV, and controlling, based on the 3D location coordinate data of the target with respect to the UAV, at least one of a direction or a speed of the movement of the UAV, to maintain a constant relative 3D position of the UAV with respect to the target.

Abstract: A vehicle includes a chassis, a non-working component, a working component, a control interface module, and a control interface. The non-working component is coupled to the chassis and configured to facilitate transit operations for the vehicle. The working component is coupled to the chassis and configured to move relative to the chassis. The control interface module is communicably coupled to the working component and the non-working component. The control interface is communicably coupled to the control interface module and configured to control operations of the working component and the non-working component.

Abstract: Example implementations relate to vehicle occupancy confirmation. An example implementation involves receiving, at a computing system from a camera positioned inside a vehicle, an image representing an occupancy within the vehicle. The implementation further involves, responsive to receiving the image, displaying the image on a display interface, and receiving an operator input confirming the occupancy meets a desired occupancy. The implementation additionally includes transmitting an occupancy confirmation from the computing system to the vehicle. In some instances, in response to receiving the occupancy confirmation, the vehicle executes an autonomous driving operation.

Abstract: Provided are a system, method(s), and apparatus for automatically harvesting mushrooms from a mushroom bed. The system, in one implementation, may be referred to herein as an “automated harvester”, having at least an apparatus/frame/body/structure for supporting and positioning the harvester on a mushroom bed, a vision system for scanning and identifying mushrooms in the mushroom bed, a picking system for harvesting the mushrooms from the bed, and a control system for directing the picking system according to data acquired by the vision system. Various other components, sub-systems, and connected systems may also be integrated into or coupled to the automated harvester.

Abstract: Example bicycle suspension components and electronic monitoring devices are described herein. An example electronic monitoring device includes a housing defining a chamber. The housing is to be coupled to a suspension component. The electronic monitoring device includes a circuit board disposed in the chamber and a sensor electrically coupled to the circuit board. The sensor is to measure a characteristic of the suspension component. The electronic monitoring device also includes a battery holder coupled to the circuit board.

Abstract: A vehicle repair control system includes a sensor generating data signals relating to a vehicle, a communication system, and one or more processors that determine a repair to be performed on the vehicle based on the sensor data signals received over the communication system. The processors examine historic repair data indicative of outlays for previous repairs of other vehicles, and examine the historic repair data to determine fluctuations in the outlays for the previous repairs to determine a projected outlay for the repair to be performed on the vehicle based on the fluctuations. The processors determine a quantity-based reduction in the projected outlay based on a number of repairs performed at a repair facility and communicate a control signal to the repair facility to autonomously direct the repair to be performed on the vehicle responsive to determining the quantity-based reduction to change a state of the vehicle.

Abstract: Systems and methods for providing load shedding in a vehicle are provided. Particularly, the vehicle may be an electric vehicle and the loads that are shed may be HVAC or refrigeration loads. The load shedding methods and systems may include a predictive model of energy consumption, determining a predicted energy consumption and comparing it to a stored energy at the vehicle. If the predicted energy consumption exceeds the stored energy, load shedding operations may be performed at a transport climate control system, such as adjusting a set point, adjusting an operating mode of the transport climate control system, increasing a dead band of a compressor of the transport climate control system, utilizing free cooling such as ambient air to provide climate control in the vehicle, or increasing cooling provided by the transport climate control system to an energy storage of the vehicle.

Abstract: An autonomous mobile robotic refuse container device that transports itself from a storage location to a refuse collection location and back to the storage location after collection of the refuse. When it is time for refuse collection, the robotic device autonomously navigates from the refuse container storage location to the refuse collection location. Once the refuse within the container has been collected, the robotic device autonomously navigates back to the refuse container storage location.

Abstract: Proximity sensors, e.g., Bluetooth® sensors, are installed in a vehicle. Each sensor determines estimates approximate distance from itself to a user mobile device. In response to the distance increasing above a predetermined distance departure limit, as the sensors communicate to a vehicle control system (VCS) through Bluetooth® or similar links, the VCS causes predetermined departure actions to be performed, such as locking the doors, turning off headlights, activating the vehicle's security system, and/or others. In response to the distance decreasing below a predetermined distance arrival limit, as the sensors communicate to the VCS through the link(s), the VCS causes predetermined arrival actions to be performed, such as unlocking the doors, flashing the headlights, beeping the horn, deactivating the security system, and/or others. Hysteresis may be applied to the decisions whether to perform the departure/arrival actions.

Abstract: A detecting device is provided for detecting a condition of a bicycle crank assembly including a bicycle crank provided to a bicycle frame. The detecting device includes an electronic controller. The electronic controller is configured to obtain information relating to an image of the crank. The electronic controller is configured to determine an angle of the crank based on the information.

Abstract: A vehicle display system is configured to display instantaneous power delivery of a powertrain of the vehicle as a proportion of the instantaneous power capability of the powertrain. A controller for the vehicle display system comprises an input configured to receive data relating to a condition indicative of a limitation on the instantaneous power delivery and/or power capability, a processor configured to determine from the data whether the condition meets at least one predetermined criterion and an output configured to output a signal to display the limitation in relation to the instantaneous power capability of the powertrain when the condition meets the at least one predetermined criterion.

Abstract: A device receives vehicle data from a vehicle telematics device or a client device. The vehicle data includes information relating to a vehicle, a vehicle component, and a sensor associated with the vehicle. The device determines a vehicle profile, and one or more of a driving behavior and a driving location based on the vehicle data. The vehicle profile includes information relating to a condition of the vehicle component. The device determines a wear rate for the vehicle component based on the vehicle profile, and one or more of the driving behavior or the driving location. The device determines a service timeframe for the vehicle component based on the wear rate, the condition of the vehicle component, and a wear threshold. The device generates a recommendation based on the service timeframe, and transmit the recommendation to the client device.

Abstract: Optical image sensor systems and process for simultaneously tracking multiple stationary or moving objects to provide attitude and geolocation information are provided. The objects are detected and tracked within subframe areas defined within a field of view of the image sensor system. Multiple objects within the field of view can be detected and tracked using parallel processing streams. Processing subframe areas can include applying precomputed detector data to image data. Image data within each subframe area obtained from a series of image frames is aggregated to enable the centroid of an object within a particular subframe to be located. Information from an inertial measurement unit can be applied to maintain a stationary object, such as a star, at the center of a respective subframe. Ephemeris data can be applied in combination with the information from the IMU to track a resident space object traversing a known trajectory.

Abstract: An interactive two-dimensional digital map is provided via a user interface. A request to obtain travel directions to a destination is received. An indication of a ride from a pick-up location to a drop-off location to traverse at least a portion of the route is obtained from a third-party provider of a ride service. Street-level imagery for the pick-up location is obtained and displayed on the digital map. In response to detecting a selection of the street-level imagery via the user interface, the two-dimensional digital map is transitioned to an interactive three-dimensional panoramic display of street-level imagery.

Abstract: Systems and methods for determining the location of a vehicle are disclosed. In one embodiment, a method for localizing a vehicle includes driving over a first road segment, identifying by a first localization system a set of candidate road segments, obtaining vertical motion data while driving over the first road segment, comparing the obtained vertical motion data to reference vertical motion data associated with at least one candidate road segment, and identifying, based on the comparison, a location of the vehicle. The use of such localization methods and systems in coordination with various advanced vehicle systems such as, for example, active suspension systems or autonomous driving features, is contemplated.

Abstract: An intelligent rollator has a vehicle body, a seat provided in the vehicle body for a person to sit or place items on, and front and rear wheels provided at the bottom of the wheels, driven by motors. A power-assist control method includes the following steps: obtaining the load weight of the vehicle body; and entering a first power-assist compensation mode to compensate the torque output of the motor according to a first power-assist compensation threshold, when the load weight is greater than a set threshold. The first power-assist compensation threshold is direct proportional to at least one of the following parameters: the load weight of the intelligent rollator, and the moving speed of the intelligent rollator.

Abstract: An aircraft includes a fuselage, a main wing, an electric field sensor, and a flight controller. The electric field sensor is configured to detect surface electric field intensities at four or more of mutually different positions on the aircraft. The flight controller includes a storage, a data extracting unit, an electric field intensity calculator, and an attitude control unit. The storage holds an electric field distribution table. The data extracting unit is configured to extract one of pieces of distribution data from the electric field distribution table. The electric field intensity calculator is configured to calculate surface electric field intensities at respective positions on the basis of the extracted piece of the distribution data. The attitude control unit is configured to perform prevention operation of the aircraft on the basis of the calculated surface electric field intensities at the respective positions.