Abstract: A method for a vehicle, by which it is determined whether a further vehicle located in the surroundings of the vehicle is operated in an at least semi-automated manner. The method includes detecting at least one parameter of the further vehicle and determining, on the basis of the at least one parameter, whether the further vehicle is operated in an at least semi-automated manner.

Abstract: In one implementation, a method of generating a horizontal plane hypothesis includes obtaining a point cloud of a scene including a plurality of points in a gravity-aligned coordinate system. The method includes generating, based on the plurality of points, a height histogram indicative of a plurality of non-overlapping height ranges in the gravity-aligned coordinate system and a respective plurality of weights. The method includes generating one or more horizontal plane hypotheses based on the height histogram.

Abstract: A parking assistance method of a parking assistance device for generating a peripheral image indicating a periphery of a vehicle as viewed from above to detect an unoccupied parking space, and displaying, on the peripheral image, an assistance image indicating that the detected unoccupied parking space is an available parking space, determines whether the vehicle intrudes on the unoccupied parking space. The parking assistance method inhibits the assistance image from being displayed on the unoccupied parking space on which the vehicle is determined to intrude in the peripheral image.

Abstract: A method determines a specific control parameter range of an autonomous mobile green area maintenance robot for an area to be treated having a specific shape and a specific size. A method operates an autonomous mobile green area maintenance robot on an area to be treated having a specific shape and a specific size using such a method. A system, in particular for carrying out such a method, and an autonomous mobile green area maintenance robot, are provided.

Abstract: A method and system enabling an automated vehicular mode switching improvement is provided. The method includes receiving detected road conditions, weather related data, and current GPS coordinates associated with a vehicle in motion. The detected road conditions and weather related data are analyzed. In response, it is determined that the vehicle is currently operating in an autonomous driving mode and should be switched to a manual driving mode. A resulting alert is generated. The alert is presented to the user and it is determined if the vehicle has been switched to manual driving mode.

Abstract: One variation of a method for influencing entities proximal a road surface includes, at an autonomous vehicle: over a first period of time, detecting a pedestrian proximal a road surface; predicting an initial path of the pedestrian an initial confidence score for the initial path of the pedestrian based on and motion of the pedestrian during the first period of time; in response to the initial confidence score falling below a threshold confidence, replaying an audio track audible to the pedestrian and calculating a revised path of the pedestrian and a revised confidence score for the revised path based on motion of the pedestrian following replay of the audio track; and autonomously navigating across the road surface according to a planned route in response to the revised path of the pedestrian falling outside of the planned route and the revised confidence score exceeding the threshold confidence.

Abstract: This application discloses training of a classification system for an assisted or automated driving system of a vehicle. A processing system can label sensor measurement data collected by sensors mounted in the vehicle with classifications, which can include a type of an object associated with the sensor measurement data and a confidence level of the classification. A training system can utilize the classifications labeled to the sensor measurement data to train a classification graph utilized by the classification system. The training system can select a node in a classification graph based, at least in part, on a classification labeled to sensor measurement data. The training system can compare the sensor measurement data to matchable data in the selected node, and modify the classification graph based, at least in part, on differences between the sensor measurement data and the matchable data in the selected node.

Abstract: An occlusion detection system for an autonomous vehicle is described herein, where a signal conversion system receives a three-dimensional sensor signal from a sensor system and projects the three-dimensional sensor signal into a two-dimensional range image having a plurality of pixel values that include distance information to objects captured in the range image. A localization system detects a first object in the range image, such as a traffic light, having first distance information and a second object in the range image, such as a foreground object, having second distance information. An occlusion polygon is defined around the second object and the range image is provided to an object perception system that excludes information within the occlusion polygon to determine a configuration of the first object. A directive is output by the object perception system to control the autonomous vehicle based upon occlusion detection.

Abstract: Automatic calibration between laser and vision sensors carried by a mobile platform, and associated systems and methods are disclosed herein. A representative method includes evaluating depth-based feature points obtained from the laser sensor with edge information obtained from the vision sensor and generating calibration rules based thereon.

Abstract: Systems and methods for determining object motion and controlling autonomous vehicles are provided. In one example embodiment, a computing system includes processor(s) and one or more tangible, non-transitory, computer readable media that collectively store instructions that when executed by the processor(s) cause the computing system to perform operations. The operations include obtaining data associated with a first object and one or more second objects within a surrounding environment of an autonomous vehicle. The operations include determining an interaction between the first object and the one or more second objects based at least in part on the data. The operations include determining one or more predicted trajectories of the first object within the surrounding environment based at least in part on the interaction between the first object and the one or more second objects. The operations include outputting data indicative of the one or more predicted trajectories of the first object.

Abstract: Systems, methods, and other embodiments for determining whether a vehicle is capable of navigating an intersection in an autonomous driving mode are disclosed. One embodiment detects that a vehicle traveling on a first roadway is approaching an intersection of the first roadway with a second roadway; detects, during one or more layer drives, one or more moving objects traveling on the second roadway; estimates the profile of each of one or more sensor obstructions situated in a non-roadway region abutting the intersection based on the detected one or more moving objects; combines, for each sensor obstruction, the profile estimates obtained from one or more layer drives to produce a composite estimate of the profile of that sensor obstruction; and determines, based at least in part on one or more composite profile estimates, whether navigating the intersection in an autonomous driving mode of the vehicle is achievable.

Abstract: A two dimensional LIDAR scanning system uses a low sampling rate (250-500 MHz) analog to digital convertor (ADC) to sample an analog signal representing a reflection of a laser beam off of an object scanned by the LIDAR device. A splining method creates a representation of the analog signal using the sample points. The representation of the analog signal is used to detect a peak magnitude of the reflected laser beam and a time at which the peak magnitude occurred relative to the emission of the laser beam. A plurality of laser emitters and associated analog sensor outputs can be multiplexed into a single signal that is sequentially sampled by a single ADC with any sampling rate, at, e.g. 500 mega-samples per second. The plurality of samples of each analog signal are a representation of each analog signal generated from the plurality of samples using a splining method.

Abstract: Aspects of the present disclosure relate to a vehicle having one or more computing devices that may receive instructions to pick up a passenger at a location, determine when the vehicle is within a first distance of the location, provide a first notification that the vehicle is within the first distance, and stop the vehicle. When the vehicle is stopped, the computing device may initiate a countdown. When a client computing device associated with the passenger has not been authenticated, the computing devices may provide a second notification based on a first amount of time remaining in the countdown and a third notification indicating that the trip is cancelled based on a second amount of time remaining in the countdown less than the first amount of time. Once the third notification is provided, the computing devices move the vehicle from the where the vehicle is stopped without the passenger.

Abstract: A driving support apparatus includes a rear vehicle detection section that detects an adjacent rearward vehicle that is a vehicle traveling behind the own vehicle in an adjacent lane adjacent to the own vehicle lane. The driving support apparatus includes a control unit that acquires rear vehicle information relating to a rear vehicle traveling behind the own vehicle, on the same vehicle lane as the own vehicle. The control unit acquires boundary line information that expresses the position of a boundary line that divides the own vehicle lane and the adjacent lane. The control unit causes the own vehicle to travel so as to approach the boundary line, based on the boundary line information, when a rear vehicle is detected based on the rear vehicle information.

Abstract: A method for controlling a vehicle includes reading in a collision signal that represents an imminent collision of the vehicle with at least one collision object, selecting, based on the collision signal, an emergency trajectory that represents a human driving behavior associated with a human driver, and outputting a corresponding control signal to guide the vehicle along the emergency trajectory.

Abstract: A vehicle travel support system includes: an information acquisition device that uses a sensor to acquire surrounding situation information; and a vehicle travel control device that controls travel of a vehicle. When a lane change to an adjacent lane is necessary, the vehicle travel control device uses the surrounding situation information to determine whether or not there is a lane restriction item indicating that entry into the adjacent lane is restricted. When there is the lane restriction item, the vehicle travel control device sets a zone of the adjacent lane including a position of the lane restriction item and having a predetermined distance as a no-entry zone. The vehicle travel control device prohibits the lane change until the vehicle passes through a side of the no-entry zone and permits the lane change after the vehicle passes through the side of the no-entry zone.

Abstract: The invention relates to a vehicle camera device for capturing the surroundings of a motor vehicle, having a first and a second optronic unit, wherein the first and second optronic units each comprise an optical device and an image sensor, wherein the first optronic unit is designed to capture a first detection area and the second optronic unit is designed to capture a second detection area of the surroundings, wherein the first and second optronic units have different image angles with an overlapping section of the detection areas, wherein the overlapping section which is captured by the first optronic unit has a different angular resolution from the rest of the first detection area.

Abstract: A method for providing an information item regarding a pedestrian in an environment of a vehicle. In this connection, a surround sensor signal generated by a surround sensor of the vehicle is inputted. A pedestrian information item representing the pedestrian is generated, using the surround sensor signal. Finally, the pedestrian information item is transmitted to a communications interface to at least one further vehicle, to provide the pedestrian information item to the further vehicle.

Abstract: A detecting section detecting a change in a monitoring target of a monitoring device; and an operation mode deciding section deciding an operation mode of the device according to a detail of the change in the monitoring target detected by the detecting section are included. The device may have a work instrument for executing a second work different from a first work selected from a group of monitoring, security and guard works for the monitoring target. The operation mode deciding section may have: an alert level deciding section deciding an alert level indicating a level of threat to the monitoring target, according to the detail of the change in the monitoring target detected by the detecting section; and a second operation mode deciding section deciding a second operation mode indicating an operation detail about the second work, according to the alert level decided by the alert level deciding section.

Abstract: An out-of-vehicle notification device includes a traveling state detecting unit configured to detect a traveling state of the host vehicle, a first output unit configured to output a sound to an outside of the host vehicle, and a notification control unit configured to cause the first output unit to output a traveling notification sound indicating that the host vehicle is traveling when the host vehicle is traveling and to output a vehicle stoppage notification sound indicating that the host vehicle is stopped when the host vehicle is stopped. The traveling notification sound is a continuous sound continuously output. The vehicle stoppage notification sound is an intermittent sound intermittently output or a repetitive sound of which an intensity is repeatedly changed.

Abstract: In order to control a technical system, a user control variable is read in and a plurality of control variable variants of the user control variable are generated. A respective trajectory of the technical system is extrapolated for the user control variable and for the control variable variants, for which a respective reliability is evaluated. Furthermore, a respective distance of each control variable variant to the user control variable is determined. The user control variable is then selected as a control signal for the technical system in the event that the trajectory extrapolated for the user control variable is evaluated as reliable. Otherwise, a control variable variant with an extrapolated trajectory evaluated as reliable is selected from the control variable variants as a control signal, wherein a control variable variant with a low distance is preferably selected. Finally, the control signal for controlling the technical system is emitted.

Abstract: A control system for an autonomous vehicle, including at least one artificial intelligence module, or AI module, which converts input variables into output variables through a parameterized internal processing chain, the parameters of the processing chain being capable of being configured, in a training phase, in such a way that training values of the input variables are converted into the corresponding training values of the output variables, at least one first AI module, which supplies output variables for carrying out a first driving maneuver, and a second AI module, which supplies output variables for carrying out a second driving maneuver, and/or at least one first AI module that is designed to recognize a first object or a first group of objects and a second AI module that is designed to recognize a second object or a second group of objects, being provided.

Abstract: Among other things, a planning process is associated with an autonomous vehicle. The planning process has inputs including static map data and dynamic data from sensors on the autonomous vehicle and outputs including a route to be driven through a road network to reach a goal position, a continually updated choice of a currently selected stopping place in the vicinity of the goal position, and a trajectory to be executed through a road network to reach the currently selected stopping place. A communication element communicates information about the updated choice of a currently selected stopping place to a device of a passenger, receives from the device of the passenger information about the goal position, and delivers the information to the planning process as an input.

Abstract: Methods, systems, and devices are provided for calibrating a light ranging system and using the system to track environmental objects. In embodiments, the approach involves installing light ranging devices, such as lidar devices, on the vehicle exterior. The light ranging system may be calibrated using a calibration device to scan the vehicle exterior and construct a three-dimensional model of the vehicle exterior comprising the positions of the installed light ranging devices on the vehicle exterior. The calibrated light ranging system may use the model in conjunction with ranging data collected by the installed light ranging devices to track objects in the environment. In this way, the light ranging system may detect a proximity of environmental objects and help a driver of the vehicle avoid potential collisions. The light ranging system may further measure the vehicle exterior and thereby detect changes to the vehicle exterior.

Abstract: A self-moving robot system may comprise a signal generating device configured to generate a preset signal; a signal detecting device, configured to detect the preset signal and generate a detection result; a signal line configured to radiate or/and receive the preset signal; and a control unit disposed on a self-moving robot, wherein the control unit receives the detection result and controls the self-moving robot to move according to the detection result; one end of the signal line is connected to the signal generating device or/and the signal detecting device; the signal line unidirectionally extends from the end, and the signal line does not constitute a circuitry loop. The system can realize judging a working area and/or guiding returning of the self-moving robot by a non-closed signal line, to thereby simplify arrangement of the border line or guide line, and improve the user experience.

Abstract: Teams of robots can be organized to collectively complete complex real-world tasks, for example collective foraging in which robots search for, pick up, and drop off targets in a collection zone. A dynamic multiple-place foraging algorithm (MPFAdynamic) is a scalable, flexible, and efficient algorithm for robot swarms to collect objects in unmapped environments. It achieves scalability through a decentralized architecture in which robots search without central control, and then return to mobile depots which provide collection and communication points. Mobile depots move closer to clusters of targets as robots discover them, which reduces robot transport time as well as collisions among robots. Flexibility is achieved by incorporating individual robot behaviors in which robots move and communicate in ways that mimic the foraging behaviors of ants.

Abstract: A system and method for providing real-time insurance coverage and updating the insurance coverage for an aerial vehicle based on current flight characteristics and an operator profile. A current flight pattern is generated from the current flight characteristics and is compared to a flight pattern of another aerial vehicle that was involved in an incident to generate a current risk profile of the aerial vehicle. The risk profile is adjusted based on an operator profile for the current operator of the aerial vehicle. As the operator operates the aerial vehicle, an insurance policy is automatically adjusted in real time as the risk profile changes in response to changes in the flight characteristics of the aerial vehicle.

Abstract: The present disclosure relates to positioning technology, and particularly to a positioning method a positioning device, and a robot. In which, the method includes: obtaining first location information of the target object at a current moment being predicted by an extended Kalman filter model at a last moment; obtaining second location information of the target object at the current moment being collected by a sensor; predicting third location information of the target object at the current moment through the extended Kalman filter model based on the first location information and the second location information; and determining an error value of the third location information under a preset constraint condition, and correcting the third location information according, to the error value to obtain final location information of the target object at the current moment.

Abstract: A fuel system controller obtains fuel burn data from an engine control module (ECM). The fuel system controller also obtains location data from a telematics control module, such as GPS location data identifying the location of a vehicle. The fuel system controller determines the vehicle's base location based on the location data, and determines how far the vehicle can travel based on the fuel burn data. The fuel system controller determines how many fueling stations are with a threshold distance of the determined distance to empty. The fuel system controller can use that data to identify which, and how many, fueling stations are within a threshold distance of the determined distance to empty. The fuel system controller can provide a fueling warning indication based on the number of fueling stations that are within the determined distance to empty.

Abstract: Systems and methods for robotic mobile platforms are disclosed. In one exemplary implementation, a system for enabling autonomous navigation of a mobile platform is disclosed. The system may include a memory having computer readable instructions stored thereon and at least one processor configured to execute the computer readable instructions. The execution of the computer readable instructions causes the system to: receive a first set of coordinates corresponding to a first location of a user; determine a different second location for the mobile platform; navigate the mobile platform between the second location and the first location; and receive a different second set of coordinates. Methods, apparatus and computer-readable mediums are also disclosed.

Abstract: Achieving safety and natural automatic driving needs a control platform using intelligence (such as learning function and artificial intelligence), but it is difficult to ensure operations suited for the behavior of a vehicle by the output of intelligence. An automatic driving device according to the present invention includes a control program for inputting outside information and vehicle information, and outputting a target control value for a vehicle. The control program has a first program for generating a first target control amount on the basis of a dynamically changing algorithm (which outputs operations based on learning function or artificial intelligence), and a second program for generating a second target control amount on the basis of a prescribed algorithm (which outputs operations according to traffic rules or driving morals).

Abstract: Robots have the capacity to perform a broad range of useful tasks, such as factory automation, cleaning, delivery, assistive care, environmental monitoring and entertainment. Enabling a robot to perform a new task in a new environment typically requires a large amount of new software to be written, often by a team of experts. It would be valuable if future technology could empower people, who may have limited or no understanding of software coding, to train robots to perform custom tasks. Some implementations of the present invention provide methods and systems that respond to users' corrective commands to generate and refine a policy for determining appropriate actions based on sensor-data input. Upon completion of learning, the system can generate control commands by deriving them from the sensory data. Using the learned control policy, the robot can behave autonomously.

Abstract: Disclosed are robot configuration-based mapping and planning technologies for a mobile robot.

Abstract: One general aspect includes a system to tint at least a portion of a vehicle window, the system including: a memory configured to include one or more executable instructions and a processor configured to execute the executable instructions, where the executable instructions enable the processor to: monitor ambient light in a surrounding vehicle environment; and based on the ambient light, dim at least a portion of an OLED window located at a vehicle.

Abstract: The disclosure includes embodiments for a digital behavioral twin for collision avoidance. In some embodiments, a method includes recording digital data describing a driving context and a driving behavior of a remote vehicle and an ego vehicle in this driving context. In some embodiments, one or more of the remote vehicle and the ego vehicle is a connected vehicle. The method includes determining a risk of a collision involving one or more of the remote vehicle and the ego vehicle based on a first digital behavioral twin of the remote vehicle, a second digital behavioral twin of the ego vehicle and the digital data. The method includes modifying an operation of the ego vehicle based on the risk.

Abstract: The present invention relates to the efficient use of both local and remote computational resources and communication bandwidth to provide distributed environment mapping using a plurality of mobile sensor-equipped devices. According to a first aspect, there is provided a method of determining a global position of one or more landmarks on a global map, the method comprising the steps of determining one or more differences between sequential sensor data captured by one or more moving devices; determining one or more relative localisation landmark positions with respect to the one or more moving devices; determining relative device poses based one or more differences between sequential sensor data relative to the one or more relative localisation landmark positions; and determining a correlation between each device pose and the one or more relative localisation landmarks positions.

Abstract: A method for a 3D scene reconstruction of autonomous agent operation sequences includes iteratively parsing sequence segmentation parts of agent operation sequence images into dynamic sequence segmentation parts and static sequence segmentation parts. The method also includes fitting 3D points over the static sequence segmentation parts to construct a 3D model of the static sequence segmentation parts over multiple frames of the agent operation sequence images. The method further includes removing the 3D model of the static sequence segmentation parts from the agent operation sequence images. The method also includes processing the dynamic sequence segmentation parts from each of the agent operation sequence images over the multiple frames of the agent operation sequence images to determine trajectories of the dynamic sequence segmentation parts.

Abstract: Systems and methods for controlling an autonomous vehicle steering mechanism are provided. In one example embodiment, a computer implemented method includes obtaining, by a computing system that includes one or more computing devices, data associated with a steering mechanism of an autonomous vehicle. The method includes identifying, by the computing system, a rate of change associated with the steering mechanism of the autonomous vehicle based at least in part on the data associated with the steering mechanism. The method includes determining, by the computing system, that the rate of change exceeds a rate limit associated with the steering mechanism of the autonomous vehicle. In response to determining that the rate of change exceeds the rate limit, the method includes adjusting, by the computing system, the steering mechanism of the autonomous vehicle.

Abstract: An automated control system for an aircraft having redundant control effectors is configured to select among multiple combinations of redundant control effector settings to achieve a selected flight condition. The control system is configured to optimize the selected control effector settings for the selected flight condition and is configured to accommodate damage or system failure.

Abstract: Provided is a route determination device including a recognition unit that recognizes peripheral circumstances of a host vehicle (121); and an evaluation unit (123C) that evaluates each of a plurality of routes based on a sum of costs respectively applied to a plurality of edges based on peripheral circumstances of the host vehicle recognized by the recognition unit, and selects one or more routes from the plurality of routes based on an evaluation result. Each of the plurality of routes is generated by joining at least two of a plurality of edges. Each of the plurality of edges is generated by connecting two virtual nodes among a plurality of virtual nodes. The plurality of virtual nodes is located with space in each of a forward moving direction and a road width direction.

Abstract: Method and system for autonomously transporting people and/or goods. The method includes requesting conveyance of a payload from a designated area to a destination, autonomously moving at least one module to the designated area, loading the at least one module with a payload within the designated area, and, via the at least one module, autonomously transporting the payload to the destination.

Abstract: Methods and systems for generating virtual sensor data for developing or testing computer vision detection algorithms are described. A system and a method may involve generating a virtual environment. The system and the method may also involve positioning a virtual sensor at a first location in the virtual environment. The system and the method may also involve recording data characterizing the virtual environment, the data corresponding to information generated by the virtual sensor sensing the virtual environment. The system and the method may further involves annotating the data with a depth map characterizing a spatial relationship between the virtual sensor and the virtual environment.

Abstract: A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: receiving perception data from a plurality of sensors of an autonomous vehicle; configuring the perception simulation operation based on a comparison of the perception data against ground truth data; generating simulated perception data by simulating errors related to the physical constraints of one or more of the plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors; and providing the simulated perception data to a motion planning system for the autonomous vehicle.

Abstract: The present disclosure extends to methods, systems, and computer program products for handling rider service at autonomous vehicles. Aspects of the disclosure use a task planning artificial intelligence (AI) framework to improve rider services provided at autonomous vehicles (AV). The AI framework uses tasking priorities and historical data-based machine learning to provide improved services, such as, passenger pickup, passenger drop off, etc. at an autonomous vehicle. A vehicle service is modeled as a Virtual Chauffer Agent (VCA) that acts independently and reacts in an environment to pursue delegated goals. The VCA can interoperate with a Virtual Driving System (VDS) to control an autonomous vehicle and transport a rider between locations. The VCA can interact with other agents (e.g., weather, traffic, map, etc.) to address rider service issues.

Abstract: An automatic steering control apparatus includes a steering controller and a steering instruction unit. The steering controller includes a storage, an instruction value checking unit, and a steering control unit, and controls operation of a steering device of a vehicle. The steering instruction unit includes an instruction value calculator and an estimated instruction value calculator, and outputs an instruction value to the steering controller. The instruction value calculator calculates a latest course and calculates the instruction value. The estimated instruction value calculator calculates a future course and calculates an estimated instruction value. The storage stores the estimated instruction value acquired from the estimated instruction value calculator during a past predetermined period.

Abstract: An autonomous driving vehicle includes a user detection monitoring device and a start control device. The user detection monitoring device detects a user who got out of the autonomous driving vehicle after the autonomous driving vehicle stopped at a destination as an alighted user and monitors the alighted user. The start control device maintains a stopped state of the autonomous driving vehicle after the alighted user was detected until a start condition is satisfied and, if the start condition is satisfied, permits a start of the autonomous driving vehicle. The start condition is one of a condition indicating that the alighted user at least moves out of a movement determination area around the autonomous driving vehicle and a condition indicating that the alighted user is present in the movement determination area but remains at the same position for a certain period of time or longer.

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).