Abstract: A method of operation of a compute system includes: receiving a vehicle-related sensor reading in a real-time; determining in the real-time a theft level indicator for a vehicle based on the vehicle-related sensor reading; generating a theft alert based on the theft level indicator being a priority event; analyzing the vehicle-related sensor reading with a theft risk model to generate the theft alert when the theft level indicator is a non-priority event; and communicating the theft alert for displaying on a device.

Abstract: Provided is a display system for a vehicle. The display system includes a display device installed to be visually recognizable from the outside of a vehicle, and a control device configured to cause the display device to display state information of the vehicle. The control device receives a signal from a sensor that senses a distance from the vehicle to an object around the vehicle, and the control device changes display of the display device based on the distance.

Abstract: Provided are a vehicle lane-changing control method and a vehicle lane-changing control device. The method includes controlling a host vehicle to travel into a neighboring to-be-turned-into lane with a first control rule, acquiring a location relation between the host vehicle and a referential lane line in a real time manner. The referential lane line is located between the host vehicle and the to-be-turned-into lane. The method further includes determining whether the location relation meets a preset changing rule, and controlling an action of the host vehicle with a second control rule corresponding to the preset changing rule in a case that the location relation meets the preset changing rule.

Abstract: A method includes controlling an unmanned aerial vehicle (UAV) to collect and forward information pertaining to a forestry worksite area. The UAV is controlled to fly to a first location and capture image information at the first location. The UAV is also controlled to fly to a second location, establish a communication connection between the UAV and a communication system at the second location, and send the captured image information to the communication system via the established connection. In another example, the UAV uploads (e.g., sends) the data to a communication system (e.g., computing device operated by an operator), and the uploaded data is further sent to a remote computing system (e.g., a forestry analysis system).

Abstract: Some implementations of the disclosure are directed to reducing or removing time lag in vehicle velocity prediction by training a model for vehicle velocity prediction using labeled features that provide indication of a feature associated with a vehicle acceleration or deacceleration event. In one implementation, a method includes: receiving multiple time series datasets, each of the time series datasets including sensor data, GPS data, and vehicle state data collected over time; extracting features from each of the time series datasets that are indicative of a future velocity of a vehicle; labeling the extracted features of each of the time series datasets to indicate vehicle acceleration or deacceleration events; and after labeling the extracted features of each of the time series datasets, using at least a subset of the extracted and labeled time series datasets to train a machine learning model that predicts vehicle velocity some time into the future.

Abstract: Method and apparatus are disclosed for mobile device tethering for a remote parking assist system of a vehicle. An example vehicle includes first and second wireless modules and a processor. The processor calculates trajectories of the vehicle and a mobile device and estimates a location of the mobile device. When the mobile device is within a threshold distance of the vehicle, the processor polls a key fob at an interval based on a comparison of the trajectories and estimate a location of the key fob. When the key fob is within the threshold distance, the processor enables autonomous parking.

Abstract: Embodiments include apparatus and methods for automatic generation of local window-based 2D occupancy grids that represent roadside objects at a region of a roadway and automatic localization based on the 2D occupancy grids. 2D occupancy grids are generated based on an altitude threshold for point cloud data and grid cell occupancy for grid cells of local windows associated with the region of the roadway. The 2D occupancy grids are stored in a database and associated with the region of the roadway. Sensor data from a user located at the region of the roadway is received. The accessed 2D occupancy grids and the received sensor data are compared. Based on the comparison, localization of the user located at the region of the roadway is performed.

Abstract: A vehicle control device includes a restricted section setting unit configured to set a restricted section where manual driving is restricted on a scheduled travel route of a host vehicle, and a takeover process unit configured to perform a takeover process regarding handover of automated driving to the manual driving in accordance with a request from a driver of the host vehicle. In a case where the request for the handover is received in the set restricted section, the takeover process unit performs the takeover process that differs depending on at least one of the type of the restricted section, and a distance and a time it takes for the host vehicle to pass through the restricted section.

Abstract: A system includes a computer programmed to receive first data from a first source that is a vehicle. The first data identifies a fault of the vehicle. The computer is programmed to receive second data from a second source outside the vehicle describing an area around the vehicle. The computer is programmed to determine, based on the first and second data, a navigational plan. The computer is programmed to transmit an instruction to the vehicle to actuate the vehicle according to the navigational plan.

Abstract: This technology relates to dynamically detecting, managing and mitigating driver fatigue in autonomous systems. For instance, interactions of a driver in a vehicle may be monitored to determine a distance or time when primary tasks associated with operation of the vehicle or secondary tasks issued by the vehicle computing were last performed. If primary tasks or secondary tasks are not performed within given distance thresholds or time limits, then one or more secondary tasks are initiated by the computing device of the vehicle. In another instance, potential driver fatigue, driver distraction or overreliance on an automated driving system is detected based on gaze direction or pattern of a driver. For example, a detected gaze direction or pattern may be compared to an expected gaze direction or pattern given the surrounding environment in a vicinity of the vehicle.

Abstract: Apparatus and methods for navigation of a robotic device configured to operate in an environment comprising objects and/or persons. Location of objects and/or persons may change prior and/or during operation of the robot. In one embodiment, a bistatic sensor comprises a transmitter and a receiver. The receiver may be spatially displaced from the transmitter. The transmitter may project a pattern on a surface in the direction of robot movement. In one variant, the pattern comprises an encoded portion and an information portion. The information portion may be used to communicate information related to robot movement to one or more persons. The encoded portion may be used to determine presence of one or more object in the path of the robot. The receiver may sample a reflected pattern and compare it with the transmitted pattern. Based on a similarity measure breaching a threshold, indication of object present may be produced.

Abstract: A computer-implemented method of determining relative velocity between a vehicle and an object. The method includes receiving sensor data generated by one or more sensors of the vehicle configured to sense an environment by following a scan pattern comprising component scan lines. The method includes obtaining, based on the sensor data, a point cloud frame. Additionally, the method includes identifying a first pixel and a second pixel that are co-located within a field of regard and overlap a point cloud object within the point cloud frame and calculating a difference between a depth associated with the first pixel and a depth associated with the second pixel. The method includes determining a relative velocity of the point cloud object by dividing the difference in depth data by a time difference between when the depth associated with the first pixel was sensed and the depth associated with the second pixel was sensed.

Abstract: Provided are an artificial intelligence (AI) system configured to simulate functions of a human brain, such as recognition, determination, or the like, using a machine learning algorithm, such as deep learning, and an application of the AI system. An electronic device includes: a processor; and a memory storing instructions executable by the processor, wherein the processor is configured to execute the instructions to cause the electronic device to: obtain, from a vehicle, a video sequence including a plurality of frames captured while driving the vehicle, recognize a location of an object included in at least one of the plurality of frames, analyze a sequential change with respect to the location of the object in the plurality of frames, and determine whether a driving event of the vehicle occurs.

Abstract: A vehicle traveling assistance apparatus includes: a creation unit configured to create a first route, which is a route along which a vehicle moves from a first position to a second position and in which the vehicle stops to perform stationary steering in a middle of the route and then moves to the second position; and a controller configured to cause the vehicle to travel along the created first route.

Abstract: A vehicle control apparatus includes a first power supply system, a second power supply system, a switch, and a switch controller. The first power supply system includes a driving controller that executes an automated driving control, and a first electricity storage device coupled to the driving controller. The second power supply system includes an electric motor coupled to an engine, and a second electricity storage device coupled to the electric motor. The switch is controlled to an electrically conductive state and a cutoff state. The electrically conductive state includes coupling the first and second power supply systems to each other. The cutoff state includes isolating the first and second power supply systems from each other. The switch controller controls the switch to the electrically conductive state, on the condition that the automated driving control is being executed.

Abstract: A work machine management system includes: a position detector detecting a position of a work machine traveling on a travel route; a non-contact sensor detecting an object in a vicinity of the travel route in a non-contact manner; map data to accumulate information on existence and a position of the object in the travel route based on detection data obtained by the position detector and detection data obtained by the non-contact sensor; a travel route generator generating the travel route where the work machine travels; and an identifying unit to identify an area or a travel route having low perfection of map data of a travel route where the work machine travels. The travel route generator generates a travel route so as to cause the work machine not to pass the area or the travel route having the low perfection of the map data.

Abstract: In one example, notice of a priority vehicle is obtained. A first protective field is generated around a current vehicle and a second protective field is generated around the priority vehicle. A priority lane is created by moving the first protective field of the current vehicle away from the second protective field of the priority vehicle.

Abstract: Aspects of the present disclosure relate to a vehicle for maneuvering a passenger to a destination autonomously. The vehicle includes one or more computing devices and a set of user input buttons for communicating requests to stop the vehicle and to initiate a trip to the destination with the one or more computing devices. The set of user input buttons consisting essentially of a dual-purpose button and an emergency stopping button different from the dual-purpose button configured to stop the vehicle. The dual-purpose button has a first purpose for communicating a request to initiate the trip to the destination and a second purpose for communicating a request to pull the vehicle over and stop the vehicle. The vehicle has no steering wheel and no user inputs for the steering, acceleration, and deceleration of the vehicle other than the set of user input buttons.

Abstract: Systems, methods, and non-transitory computer-readable medium can receive a plurality of localization requests from a plurality of devices, each of the plurality of localization requests comprising sensor data captured by one or more sensors of the plurality of devices. Localization data can be sent to each device of the plurality of devices in response to receiving the plurality of localization requests. A plurality of pose data can be received from a first device and a second device of the plurality of devices. The plurality of pose data can include a position and orientation for each of the first and second devices based on the sensor data and the received localization data. At least one received pose data of the plurality of received pose data can be sent to at least the first device of the plurality of devices.

Abstract: A traffic island formed for smooth flows of vehicles and pedestrians is provided. More particularly, a plurality of safety indicators are installed around an entrance of the traffic island or around a crosswalk along a right turn lane to enable a vehicle turning right to recognize in advance a presence of a pedestrian at a corner, so that a collision risk between the pedestrian and the vehicle turning right is prevented while maintaining flows of vehicles smoothly.

Abstract: Disclosed are a body of an unmanned aerial vehicle and an unmanned aerial vehicle including the same. The body includes a housing arranged in a first direction and including at least four housing sidewalls and an opening defined by the housing sidewalls and configured to receive a battery pack, a propeller support extending a specific distance from each housing sidewall in a second direction away from the center of the housing and perpendicular to the first direction and having, on a distal end, a motor and a propeller connected to the motor, and a PCB disposed on at least one of the housing sidewalls and associated with operating the motor and the propeller.

Abstract: Provided is an automatic driving control device advantageous for a vehicle or the like in which a route can be changed during movement to a destination. An automatic driving control device, wherein a navigation device is provided with a route generation unit for generating a second route which is difference from a first route on the basis of predetermined conditions, and a determination unit for determining whether to change from the first route to the second route when an automatic driving permissible interval included in the second route is different from the automatic driving permissible interval included in the first route. When the route has been determined by the determination unit to be changeable from the first route to the second route, a control unit executes an automatic driving mode in the automatic driving permissible interval included in the second route.

Abstract: A center pivot irrigation unit with a plurality of towers supporting an elevated water line has a pair of stabilizers for each tower, one of which extends in a forward direction from the tower and one of which extends in a rearward direction from the tower. Each stabilizer has a distal end that is suspended a short distance above the bottom of the wheels so the stabilizer does not contact the field unless the unit begins to tip.

Abstract: A vehicle includes a power receiving unit and an RFID tag. The power receiving unit contactlessly receives electric power output from a power transmission unit. The RFID tag preliminarily stores information which is identification information for identifying the vehicle in the power transmission device and can be contactlessly read by the power transmission device. Here, the RFID tag is arranged at a vehicle body front end (a vehicle body trailing end) in a vehicle traveling direction when the vehicle is guided into a parking frame.

Abstract: A method for providing a machine operator with an augmented reality view of an environment includes determining a location and orientation of a vehicle. An eye position and gaze of an operator of the vehicle are also determined. Job information to be displayed to the operator of the vehicle is determined based on the location of the vehicle and the orientation of the vehicle. The job information is displayed to the operator based on the eye position and gaze of the operator of the vehicle. In one embodiment, environmental features that can be seen through the windscreen are determined. The job information displayed to the operator is modified based on the environmental features.

Abstract: An autonomous driving system includes: a Human Machine Interface; and a control device configured to control autonomous driving of a vehicle, present a first operation instruction to a driver of the vehicle during the autonomous driving, the first operation instruction requesting the driver to perform a first response operation performed in response to a first request or a first proposal by presenting the first request or the first proposal to the driver via the Human Machine Interface, and prohibit presenting a second operation instruction different from the first operation instruction until the first response operation is completed or until a timing at which the first response operation is predicted to be completed, the second operation instruction requesting the driver to perform a second response operation performed in response to a second request or a second proposal by presenting the second request or the second proposal.

Abstract: When an occurrence of override due to an acceleration/deceleration operation and/or a steering operation is detected by an acceleration/deceleration override detection unit and/or a steering override detection unit, a driving mode is switched by a mode switching unit to a semi-automatic driving mode in which the degree of automatic control is higher than when an occurrence of override due to the acceleration/deceleration operation and the steering operation is detected. According to this configuration, the degree of automatic control can be appropriately regulated in accordance with an override state, so a vehicular behavior not intended by the driver can be prevented. In addition, because the partial automatic control is maintained, the burden of driving can be reduced.

Abstract: A method for controlling a motor vehicle includes guiding the motor vehicle on a road independently of a driver; receiving a driving instruction transmitted wirelessly from a device in a vicinity of the motor vehicle; outputting an indication of the driving instruction to a driver of the motor vehicle; determining that, for longer than a predetermined time, the driver has not taken over the guidance of the motor vehicle; and executing the driving instruction independently of the driver.

Abstract: A system for configuring generic maintenance activity scheduling is provided. For example, user input may help define a maintenance process for a plurality of mobile drive units of the physical workspace. The maintenance process may be defined through a configuration of activity templates and input templates. Input may be received to configure maintenance activities and the system may automatically correlate failure rules with the activity template. The system may generate the configurable electronic instructions for the mobile drive units and transmit them with the failure rules, if generated, to one or more mobile drive units of the physical workspace. When the one or more mobile device units receive the configurable electronic instruction, the mobile drive units may operate in accordance with the configurable electronic instruction.

Abstract: One or more roadway features can be determined based on information received from one or more vehicles traveling on a roadway. A data packet can be received from a remote vehicle. The data packet can include data corresponding to locations and headings of the remote vehicle. A path history for the remote vehicle can be determined based on the data packet. The path history can include data points corresponding to a plurality of locations and headings for the remote vehicle. A geometry for a portion of the roadway preceding the remote vehicle can be determined using the path history. The determined geometry of the roadway can be used to determine a driving maneuver for a vehicle and/or to verify a map.

Abstract: The present disclosure relates to a driving control apparatus, a driving control method, and a program that can resolve a conflict between a deliberate action and a reflex action during determination of a next action in autonomous driving. During autonomous driving, a reflex action is determined as a simplified action on the basis of detection results detected by a variety of sensors provided in a vehicle, and a deliberate action ranked higher than a reflex action is determined through elaborate processing. A plurality of resolution modes are made available to deal with a possible conflict between the reflex action and the deliberate action, and by which of the resolution modes the conflict is resolved is specified in advance so that the conflict is resolved by the specified resolution mode. The present disclosure is applicable to motor vehicles that drive autonomously.

Abstract: In one embodiment, a computing system of an autonomous vehicle may receive a first set of data packets on one or more networks. The computing system may analyze the data packets to determine, for each packet, one or more of an authenticity, a validity, or a correctness of the data packet. The computing system may perform a first action for the first set of data packets based on the analysis. The first action may include signaling a safety driver of the autonomous vehicle to take over manual control of the vehicle in response to the data packets failing to satisfy the one or more of the authenticity, the validity, or the correctness criteria.

Abstract: Devices, systems, and methods for social behavior of a telepresence robot are disclosed herein. A telepresence robot may include a drive system, a control system, an object detection system, and a social behaviors component. The drive system is configured to move the telepresence robot. The control system is configured to control the drive system to drive the telepresence robot around a work area. The object detection system is configured to detect a human in proximity to the telepresence robot. The social behaviors component is configured to provide instructions to the control system to cause the telepresence robot to operate according to a first set of rules when a presence of one or more humans is not detected and operate according to a second set of rules when the presence of one or more humans is detected.

Abstract: A vehicle control device includes a takeover operation unit configured to execute operations whereby at least a portion of automated driving is handed over to manual driving performed by a driver, and a duration acquisition unit configured to acquire a duration of the automated driving when the at least a portion of the automated driving is handed over to manual driving performed by the driver. In the case that the duration is greater than or equal to a first predetermined time period, the takeover operation unit performs an operation to hand over driving to manual driving differently from an operation to hand over driving to manual driving in the case that the duration is less than the first predetermined time period.

Abstract: The present disclosure relates to an autonomous cruise control apparatus and a control method thereof. An embodiment provides an autonomous cruise control apparatus including: a sensing module configured to detect an object adjacent to the vehicle; a vehicle movement distance calculation unit configured to calculate a vehicle movement distance for moving the vehicle to the left or right using a preset method; and a control module configured to perform a control operation to move the vehicle by the vehicle movement distance when movement of a following vehicle behind the vehicle by a preset width or more is detected by the sensing module. Therefore, an emergency vehicle may be allowed to smoothly travel during autonomous cruise control by detecting travel of the emergency vehicle and creating a travel path for the emergency vehicle.

Abstract: An information sharing method, apparatus and system applicable to an unmanned vehicle and a device. A specific embodiment of the method includes: collecting travel information of an unmanned vehicle, the travel information being configured to indicate a travel state of the unmanned vehicle; determining driving control information adapted to the travel information, and controlling the unmanned vehicle by using the driving control information; and sending the travel information, the driving control information and a safety sign for indicating the unmanned vehicle being in a safe state to a server, in response to determining the unmanned vehicle being in the safe state, to enable the server to push the travel information, the driving control information and the safety sign to an unmanned vehicle in the travel state indicated by the travel information. The present embodiment achieves an improvement of the driving control efficiency of the unmanned vehicle.

Abstract: An image of a region captured by an unmanned aerial vehicle flying at an altitude may be received. A computer vision algorithm may be executed with the image as an input to compute an overall confidence score associated with detecting one or more candidate objects in the image. Responsive to determining that the confidence score is below a predefined minimum threshold or above a predefined maximum threshold, the unmanned aerial vehicle may be controlled to change its altitude and recapture the image of the region at a new position. Responsive to determining that the overall confidence score is not below the predefined minimum threshold, information associated with the image may be stored on a storage device.

Abstract: A method for deactivating an automated driving function of a vehicle, in particular a highly automated or autonomous driving function, is provided. The driving function is deactivated when a driver of the vehicle carries out a steering intervention or pedal intervention with a strength exceeding a predeterminable deactivation threshold. The deactivation threshold is predetermined depending on an operation length of the driving function and/or depending on a responsiveness of the driver. In particular, the deactivation threshold is predetermined in such a manner that it is higher directly after an activation of the driving function than some time afterwards and/or it is higher with a low responsiveness of the driver than with a high responsiveness of the driver.

Abstract: An electronic device and method of controlling an operation of a vehicle are provided. The method includes obtaining a video sequence including a plurality of frames from a camera installed on the vehicle; detecting, from the plurality of frames, an object included in the plurality of frames; obtaining position information regarding the object with respect to each of the plurality of frames; determining whether an event related to driving of the vehicle has occurred by analyzing time-series changes in positions of the object in the plurality of frames; generating a notification message about the event based on a result of the determining; and outputting the generated notification message, wherein the detecting of the object, the obtaining of the position information, the determining of whether an event has occurred, and the generating of the notification message are performed using a plurality of learning models.

Abstract: A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.

Abstract: A sensory stimulation system within an interior of an autonomous vehicle (AV) can obtain maneuver data representing one or more maneuvers to be performed by the AV. For each respective maneuver of the one or more maneuvers, the system can determine one or more visual outputs to provide a passenger of the AV with a sensory indication of the respective maneuver, and then output the one or more visual outputs via the display system.

Abstract: Provided is a drive assistance device for assisting driving of a vehicle by using an automatic driving function. Assuming various conditions of the driver, a plurality of notification timings to notify of switching from an automatic driving mode to a manual driving mode is set. Notifying a driver who is drowsing at a notification timing of long premature time allows the driver to have sufficient time margin to be ready for manual driving and to shift to driving action more safely. A driver who is reading a book or operating a smartphone is expected to be able to shift to driving action immediately after a notification, and thus it is sufficient to notify at a notification timing of short premature time, which can reduce inconvenience for the driver.

Abstract: A system includes a computer programmed to receive impact sensor data specifying a force of an impact to a vehicle body panel. The computer is programmed to, upon determining that the force is below a collision force threshold, identify the impact as user input. The computer is programmed to actuate a vehicle component according to the user input.

Abstract: An autonomous control system of a self-driving semi-truck can monitor a dynamic orientation of a cargo trailer in relation to a tractor of the semi-trailer truck. Based on the dynamic orientation of the cargo trailer, the control system can dynamically generate a coordinate transform between a first reference frame of a first set of sensors mounted to the tractor, and a second reference frame of a second set of sensors mounted to the cargo trailer, and execute the dynamically generated coordinate transform on sensor data from the second set of sensors to generate a fused sensor view of a surrounding environment of the self-driving semi-truck.

Abstract: A vehicle includes one or more laser scanners and an on-board vehicle computer system communicatively coupled to the laser scanners. The computer system uses information (e.g., coordinate points) obtained from the laser scanners to calculate a trailer angle (e.g., a cab-trailer angle) for the vehicle. The computer system may include a shape detection module that detects a trailer based on the information obtained from the laser scanners and an angle detection module that calculates an angle of the detected trailer relative to a laser scanner, calculates the orientation of the detected trailer based on that angle and dimensions (e.g., width and length) of the trailer, and calculates a cab-trailer angle based on the orientation of the trailer. The computer system may include an autonomous operation module configured to use the cab-trailer angle in an autonomous or computer-guided vehicle maneuver, such as a parking maneuver or backing maneuver.

Abstract: An autonomous or semi-autonomous excavation vehicle is capable of determining a route between a start point and an end point in a site and navigating over the route. Sensors mounted on the excavation vehicle collect any or more of spatial, imaging, measurement, and location data to detect an obstacle between two locations within the site. Based on the collected data and identified obstacles, the excavation vehicle generates unobstructed routes circumventing the obstacles, obstructed routes traveling through the obstacles, and instructions for removing certain modifiable obstacles. The excavation vehicle determines and selects the shortest route of the unobstructed and obstructed route and navigates over the selected path to move within the site.

Abstract: A method, system, and computer program product is provided, for example, for identifying a type of road sign. The method may include receiving a plurality of observations for the road sign. The method may also include clustering the plurality of observations based on at least a location and a heading of the road sign. Further, the method may include filtering the plurality of observations in the cluster based on a speed value and a lateral offset of each of the plurality of observations. Also, the method may include identifying the type of the road sign based on the filtering.

Abstract: System, methods, and other embodiments described herein relate to controlling a parking facility. In one embodiment, a method of controlling a parking facility control system is disclosed. In one approach, the method includes receiving a parking request for a vehicle. The parking request includes an identifier and a pickup time. The method includes selecting an initial parking space at the parking facility for the vehicle based, at least in part, on the identifier and the pickup time. The method includes transmitting a parking command to the vehicle. The parking command identifies the initial parking space and causes the vehicle to autonomously navigate to and park in the initial parking space.

Abstract: Disclosed is a communication apparatus for a vehicle, including: an interface unit configured to receive sensing information regarding a first other vehicle located in a vicinity of the vehicle and incapable of performing vehicle-to-vehicle communication; a transmitter configured to transmit information to a second other vehicle capable of performing vehicle-to-vehicle communication; and a processor configured to generate recognition information for the first other vehicle based on the sensing information, and transmit the recognition information for the first other vehicle to the second other vehicle through the transmitter.

Abstract: The present application discloses a remote control for implementing image processing, including a remote control controller, an image transmission unit and a data transmission unit, and further including: a system processor, connected to the remote control controller and the image transmission unit to process an image transmitted by the image transmission unit; and a display unit, connected to the system processor to display or edit the image processed by the system processor, where the remote control controller exchanges system data with the system processor, to implement function operations of the remote control, and the image transmission unit sends image data obtained from an unmanned aerial vehicle to the system processor, to display or edit the image data on the display unit connected to the system processor. The remote control completes real-time display or editing of aerial videos while operating an aerial vehicle, thereby greatly improving user's operation experience and convenience.