Abstract: Methods for controlling a transmission of a vehicle are provided. Such methods include establishing a desired speed profile for the vehicle when travelling along a road segment, performing a plurality of simulations, each of a vehicle response, in the road segment, to a respective gear control action, wherein the gear control action differs from one simulation to another, wherein the simulations include an aim to keep the speed on the speed profile, or within one or more established limits of deviations from the speed profile, determining costs for the simulated vehicle responses, selecting, in dependence on the determined costs, one of the gear control actions, controlling the transmission with the selected gear control action.

Abstract: A management device is configured to manage an operation of a luggage transporting vehicle, the luggage transporting vehicle being configured to autonomously travel a road without a driver being aboard and including a luggage containment part which is shielded by a door part that is able to be opened and closed, the management device including: an acquisition part configured to acquire a first image obtained by imaging a user who unloads luggage from the containment part; and a determination part configured to determine whether delivery of the luggage contained in the containment part has been completed normally on the basis of a result obtained by monitoring a behavior of the user based on the first image.

Abstract: Systems and methods for radio access interfaces in accordance with embodiments of the invention are disclosed. In one embodiments, a vehicle telematics device includes a processor, a communications device, and a memory, wherein the vehicle telematics device communicates with a mobile communications device using the communications device, wherein the mobile communications device is in communication with a remote server system via a mobile network connection, and wherein the vehicle telematics device provides data to the mobile communications device, where the data is to be transmitted to the remote server system, provides command data to the mobile communications device, where the command data instructs the mobile communication device to transmit the data to the remote server system using at least one communication protocol, and causes the mobile communications device to transmit the data to the remote server system using the at least one communication protocol based on the command data.

Abstract: A bicycle system includes controller devices. Each controller device includes at least oe respective input element configured to receive input from a user. The system includes operation-enacting devices. Each operation-enacting device is configured to enact at least one respective operation on the bicycle. The system includes a network coordinator device configured to (i) establish a wireless network for communications between the network coordinator device, the controller devices, and the operation-enacting devices, and (ii) reset the controller devices and operation-enacting device before pairing the controller devices and operation-enacting devices to the wireless network.

Abstract: The present invention has an object of reducing the number of resident operators in a remote driving system. A driving plan generating apparatus includes: a section selector selecting, as a selected section, at least one incompletely automated driving section; a reservation unit sounding out on reservation of a remote operation of a vehicle in the selected section; and a drive planning unit generating, based on a result of the reservation, a driving plan specifying as a driving mode of the vehicle in the selected section one of a remote driving mode in which a driving control apparatus performs at least a part of driving tasks through the remote operation performed by an operator outside the vehicle and an incompletely automated driving mode in which the driving control apparatus performs at least the part of driving tasks through an operation of a passenger in the vehicle.

Abstract: A vehicle is operated in accordance with a second operation amount corresponding to a first operation amount of a remote operation member by an operator. A first maximum operation range is a maximum operation range of the remote operation member. A second maximum operation range is a maximum operation range of an operation member of the vehicle. When the first maximum operation range is smaller than the second maximum operation range, a correspondence relationship between the first and second operation amounts is adjusted such that the second operation amount becomes larger than the first operation amount. When the first maximum operation range is larger than the second maximum operation range, an operable range of the remote operation member is restricted or the correspondence relationship is adjusted such that the second operation amount becomes smaller than the first operation amount.

Abstract: Methods are disclosed for optimizing execution of tasks for users. A processing system including a processor detects a triggering condition for a transport task for transporting a subject from a first location to a second location via usage of an autonomous vehicle, establishes a negotiated task coordination plan between a user and a third party provider for performing the transport task, and executes the negotiated task coordination plan, wherein the executing causes the autonomous vehicle to travel between the first location and the second location for transporting the subject.

Abstract: Example systems, methods, and apparatus to optimize autonomous vehicle workflows are disclosed. An example apparatus includes at least one memory; instructions; and a processor to execute the instructions to determine an expected arrival time for an autonomous vehicle at a first location, the autonomous vehicle to deliver a first product to the first location in response to a first task assigned to the autonomous vehicle, the first product associated with a first order; perform a comparison between the expected arrival time for the autonomous vehicle and an expected arrival time associated with a second task; select a third task to be performed by the autonomous vehicle based on the comparison, the third task selected for having the autonomous vehicle arrive at the first location after performance of the third task within a threshold time of the expected arrival time; and instruct the autonomous vehicle to perform the third task.

Abstract: A mobile drive apparatus (1001) for use at a transport hub, having: a drive means configured to drive the apparatus (1001) from a first location (401) to a second location (402) within the hub; a wireless communication module configured to form a wireless communications link with a resource management system (301), and receive command instructions from the resource management system (301); and a control means coupled to the drive means and coupled to the wireless communication module. The control means is configured to control the drive means to move the apparatus (1001) from a first location (401) to a second location (402) within the transport hub, in response to receiving a command instruction from the resource management system (301) via the wireless communication module.

Abstract: Described herein are systems and methods for applying machine learning to telematics data to generate a unique driver fingerprint for an individual by periodically receiving telematics data generated at a plurality of sensors of a vehicle; standardizing the telematics data; aggregating the standardized telematics data; applying a trained machine learning model to embed the aggregated telematics data into a low-dimensional state; and generating a unique driver fingerprint for the individual, the driver fingerprint comprising a static component, a dynamic component, or both a static component and a dynamic component; including iterative repetition to update the dynamic component of the driver fingerprint.

Abstract: A system and method for selectively manually controlling an autonomous floor cleaner includes an autonomous floor cleaner and a remote control device, such as a smartphone. The smartphone can have a downloaded application for controlling one or more functions of the cleaning robot, including manually directing the movement of the cleaning robot.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a future occupancy prediction for a region of an environment. In one aspect, a method comprises: receiving sensor data generated by a sensor system of a vehicle that characterizes an environment in a vicinity of the vehicle as of a current time point, wherein the sensor data comprises a plurality of sensor samples characterizing the environment that were each captured at different time points; processing a network input comprising the sensor data using a neural network to generate an occupancy prediction output for a region of the environment, wherein: the occupancy prediction output characterizes, for one or more future intervals of time after the current time point, a respective likelihood that the region of the environment will be occupied by an agent in the environment during the future interval of time.

Abstract: A vehicle includes a battery, one or more programmable connection ports electrically coupled to the battery, and an electronic controller communicatively coupled to the one or more programmable connection ports. The electronic controller receives a user control signal from a user input device communicatively coupled to the electronic controller, wherein the user control signal indicates a threshold of operation, and selectively operates the one or more programmable connection ports in response to the threshold of operation indicated by the user control signal from the user input device.

Abstract: A system for includes master and sniffer devices. The master device includes: first antennas with different polarized axes; a transmitter transmitting a challenge signal via the first antennas from the vehicle to a slave device, where the slave device is a portable access device; and a receiver receiving a response signal in response to the challenge signal from the slave device. The sniffer device includes: second antennas with different polarized axes; and a receiver receiving, via the second antennas, the challenge signal from the transmitter and the response signal from the slave device. The sniffer device measures when the challenge signal and the response signal arrive at the sniffer device to provide arrival times. The master or sniffer device estimates at least one of a distance from the vehicle to the slave device or a location of the slave device relative to the vehicle based on the arrival times.

Abstract: A vehicle has a thermal management system that comprises an electric power source loop comprising at least one battery. The thermal management system further comprises a heating component thermally coupled to the electric power source loop. When an ambient temperature is less than a first threshold, the heating component pre-heats the at least one battery. In exemplary embodiments, the heating component includes at least one brake resistor that is coupled to the electric power source loop.

Abstract: A brake control system includes an interface controller configured to communicate with different control paths of sources for control of a brake system of a vehicle system. Each of the control paths is configured to communicate a control signal from a different source of the sources to control operation of the brake system. The interface controller is configured to arbitrate between the control signals concurrently received from the different sources via the control paths to dictate which of the different sources controls operation of the brake system at different times and prevent control by other sources of the different sources from concurrently controlling the operation of the brake system.

Abstract: The present disclosure provides a method for sending information, method for receiving information, apparatus, device, and storage medium. The method can include an unmanned aerial vehicle (UAV) operating in a first operation mode when the UAV is in an inactive state. Further, the method can include the UAV switching from the first operation mode to a second operation mode different from the first operation mode, and sending, by the UAV, information to an access network device, where the information being used for indicating a change of operation mode of the UAV. The method can further include determining, by the access network device, a second operation mode to which the UAV is switched according to the information, and controlling, by the access network device, the UAV by applying a control strategy corresponding to the second operation mode.

Abstract: Systems and methods for detecting objects and predicting their motion are provided. In particular, a computing system can obtain a plurality of sensor sweeps. The computing system can determine movement data associated with movement of the autonomous vehicle. For each sensor sweep, the computing system can generate an image associated with the sensor sweep. The computing system can extract, using the respective image as input to one or more machine-learned models, feature data from the respective image. The computing system can transform the feature data into a coordinate frame associated with a next time step. The computing system can generate a fused image. The computing system can generate a final fused image. The computing system can predict, based, at least in part, on the final fused representation of the plurality of sensors sweeps from the plurality of sensor sweeps, movement associated with the feature data at one or more time steps in the future.

Abstract: An authentication device including: a processor; a first communication section installed at a vehicle and configured to perform first wireless communication with a terminal; and a plurality of second communication sections installed at the vehicle and configured to perform second wireless communication with the terminal, the processor being configured to: compute a distance and an angle of a position of the terminal with respect to the first communication section based on the first wireless communication of the first communication section with the terminal; cause a second communication section that, out of the plurality of second communication sections, corresponds to the computed angle, to execute the second wireless communication with the terminal; and determine, based on the executed second wireless communication and the computed distance, whether or not the terminal is present in an area corresponding to the second communication section executing the second wireless communication.

Abstract: The present invention relates to an autonomous driving cart. More particularly, the present invention relates to an autonomous driving cart that stores information on a leading subject, detects the leading subject from sensed information, and follows the detected leading subject.

Abstract: Images are obtained using cameras mounted on a vehicle, and at least a portion of the obtained images are displayed on a screen. Motion of the vehicle can be controlled such that it moves toward a physical destination selected from images obtained using cameras mounted on a vehicle.

Abstract: Methods and apparatus for autonomous vehicle scheduling are disclosed herein. An example apparatus includes memory including machine readable instructions and processor circuitry to execute the instructions to determine that a calendar request for a vehicle is associated with a location or a route previously associated with the vehicle, the calendar request to be generated via a user interface application; generate a predicted request for the vehicle in response to the determination that the calendar request is associated with the location or the route previously associated with the vehicle; and generate a prompt to be presented via the user interface application, the prompt associated with the predicted request for the vehicle.

Abstract: A method of partial sensor data sharing is described. The method includes detecting an occluded area relative to a receiver vehicle. The method also includes defining an area of interest (AoI) based on a traffic topology and state information of a selected sender vehicle. The method further includes transmitting the area of interest to the selected sender vehicle. The method also includes receiving a sensor data corresponding to the area of interest when the detected occluded area is within a sensor coverage area of the selected sender vehicle.

Abstract: An unmanned aerial vehicle (UAV) having at least one sensor for detecting the presence of a survivor in a search and rescue area. The at least one sensor is preferably an ultra-wide band (UWB) transceiver sensor. The UAV includes a UAV data link transceiver for wirelessly communicating information concerning the survivor to a command center.

Abstract: Embodiments are directed to a trailer maneuvering assistant system onboard a vehicle to communicate with and receive control instructions from a mobile device app. In one example embodiment, the app interface presents the user with an engagement input area and a curvature command area. The user must provide two types of touch inputs to the user interface portions: a first touch input that includes a complex gesture input in the engagement interface portion. In one example embodiment the complex gesture may be user input of a closed geometric shape such as a circle, oval, rectangle, or some other shape. The input may be complex in that it matches a canonical model for the respective shape. Matching may include an input that is coterminous with the canonical model within a threshold amount of error, and/or meets another guideline or threshold such as being a closed shape, or some other predetermined requirement(s).

Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of determining a route between a start point and an end point in a site and navigating over the route. The sensors 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 system for scaling lag based on flight phase of an electric aircraft is presented. The system include a sensor connected to an electric aircraft configured to detect measured aircraft data, identify a flight phase of the electric aircraft, and generate a flight datum. The system further comprises a computing device communicatively connected to the sensor, wherein the computing device is configured to receive the flight datum and the flight phase, identify an input latency as a function of the flight datum, select a lag frame as a function of the input latency, wherein the lag frame further comprises a lag threshold, and transmit the flight datum to a user device as a function of the lag frame. The system further includes a remotely located user device configured to receive the flight datum.

Abstract: A remote control station includes an operator interface for remotely controlling at least one work operation. The operator interface includes at least one control device and an indication system having a first symbol associated with a plurality of control patterns of the at least one control device. The operator interface further includes a display device configured to display a plurality of control patterns thereon. Each of the plurality of control patterns includes a second symbol substantially similar to the first symbol. The remote control station also includes a controller configured to store the plurality of control patterns associated with the at least one control device. The controller is configured to receive an input signal from the operator interface for activation of one of the plurality of control patterns and transmit an output signal for performing the at least one work operation.

Abstract: A system for tracking at least one object configured to be transported by at least one vehicle may include at least one computer system. The at least one computer system may be configured to determine at least one location of the at least one vehicle and determine at least one location of the at least one object. The at least one computer system may be further configured to determine at least one location of at least one geofence adjacent the at least one vehicle based on the at least one location of the at least one vehicle. Also, the at least one computer system may be configured to determine whether the at least one object is located within the at least one geofence to determine whether a load of the at least one vehicle includes the at least one object.

Abstract: The disclosure provides a method for operating an automatically driving vehicle, wherein application instances are executed over several computational nodes, wherein recognized faults are reacted to by switching to redundant application instances and then reconfiguring the configuration to restore specified redundancy conditions and/or segregation conditions, wherein the vehicle is transitioned to a safe state using at least one failover apparatus when at least one specified redundancy condition and/or at least one segregation condition cannot be met by the reconfiguration, and/or a specified time for reconfiguration is exceeded, and/or an unrecoverable malfunction has been recognized, wherein the at least one failover apparatus plans an emergency trajectory using a trajectory planner, wherein sensor data are detected via separate signal lines and supplied to the at least one failover apparatus, and wherein control signals are generated and transmitted via separate control lines to an actuator system of the v

Abstract: A vehicle platoon control system performs techniques for controlling a platoon of vehicles through an intersection. The platoon of vehicles is controlled through receiving location data for at least a first vehicle of the platoon of vehicles, map matching the location data for the first vehicle to a road network, identifying an intersection in the road network in response to the matched location data, determining a time period for the intersection, calculating a distance to the intersection for a second vehicle of the platoon of vehicles, calculating a travel time based on the distance to the intersection for the second vehicle of the platoon of vehicles, performing a comparison of the time period for the intersection to the travel time for the second vehicle, and generating a platoon command in response to the comparison.

Abstract: In one embodiment, control of an autonomous driving vehicle (ADV) includes determining a current scenario of the ADV. Based on the scenario, a control algorithm is selected among a plurality of distinct control algorithms as the active control algorithm. One or more control commands are generated using the active control algorithm, based one or more target inputs. The control commands are applied to effect movement of the ADV.

Abstract: Provided is a steering assist apparatus configured to perform a steering assist control for changing a steering angle of a vehicle in such a manner that the vehicle moves along a target path; determine whether a newly-detected object is a stationary object or a moving object; cancel the steering assist control and inform a driver that the steering assist control is cancelled when the newly-detected object is the stationary object and a cancel condition is satisfied; pause the steering assist control and inform the driver that the steering assist control is paused when the newly-detected object is the moving object and a pause condition is satisfied; and resume the steering assist control when a resume condition is satisfied.

Abstract: A system for exclusive track resource sharing is provided. Some embodiments provide an exclusive track resource sharing system including onboard control units and a resource manager. Onboard control unit is provided in each of trains and is configured to communicate with another onboard control unit in another train. The resource manager is configured to record ownership status information of track resources of the plurality of trains, to provide the ownership status information of the track resources to the onboard control unit, and to generate and deliver a resource entitlement or resource authority to the onboard control unit. The resource authority is configured to be owned by a single onboard control unit. The onboard control unit possessing the resource authority is configured to seize or release the track resources corresponding to the resource authority and to control the track resources corresponding to the resource authority.

Abstract: A vehicle is equipped with a docking station for a driver's smart device. The smart device displays engine related and other information to the driver while operating the vehicle. The smart device provides a supplementary screen to the screen installed in the vehicle at manufacture, or acts as an alternative to having a screen installed at manufacture. The docked smart device replaces one or more of the instruments normally present in a vehicle dashboard or motorcycle instrument cluster. The smart device also controls operation of the vehicle.

Abstract: A vehicle control device includes a controller configured to execute: receiving a remote signal containing a target temperature in a cabin and an expected traveling start time of a vehicle from a remote controller used by a user of the vehicle; calculating a catalyst warming period which is an estimated period required to warm, to an active temperature, an electrically heated catalyst; calculating a pre-air conditioning period which is an estimated period required to adjust a temperature in the cabin to the target temperature; and starting pre-air conditioning of the cabin by starting an internal combustion engine after completion of warming of the electrically heated catalyst when a sum of the catalyst warming period and the pre-air conditioning period is equal to or shorter than a starting time margin from a time of reception of the remote signal to the expected traveling start time.

Abstract: Example embodiments relate to gradually adjusting a vehicle sensor perspective using remote assistance. A computing device may receive a request for assistance from a vehicle operating in an environment. The request indicates that the vehicle is stopped at a location with a sensor perspective of the environment that is at least partially occluded. Responsive to receiving the request for assistance, the computing device may display a graphical user interface (GUI) that represents a current state of the vehicle and includes a selectable option configured to enable the vehicle to gradually move forward a predefined distance. The computing device may detect a selection of the selectable option and transmit instructions that enable the vehicle to gradually move forward the predefined distance. The vehicle can then gradually move forward the predefined distance while also monitoring for one or more changes in the environment responsive to receiving the instructions.

Abstract: The disclosure generally pertains to minimizing battery power consumption while employing local wireless communication to activate an operation of an autonomous vehicle. In an example implementation, a vehicle controller of an autonomous vehicle transitions to a powered-down state after the autonomous vehicle is parked at a parking spot that lacks cellular communication coverage. The vehicle controller may transition to a powered-up state at a scheduled time to execute an autonomous operation based on a directive stored in a cloud-based device. In no directive has been stored, the vehicle controller wakes up periodically in a partially powered-up state and transmits a query in a local wireless communications format to the cloud-based device to check for a directive. If no directive is present, the vehicle controller transitions back to the powered-down state. If a directive is present, the vehicle controller transitions to a fully powered-up state to execute the autonomous operation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for an unmanned aerial vehicle control point selection system. A first unmanned aerial vehicle can navigate about a geographic area while a second unmanned aerial vehicle can capture images of the first unmanned aerial vehicle. Location information of the first unmanned aerial vehicle can be recorded, and a system can identify the first unmanned aerial vehicle in the captured images. Utilizing the recorded location information, the system can identify landmarks proximate to the first unmanned aerial vehicle identified in the images, and determine location information of the landmarks. The landmarks can be assigned as ground control points for subsequent flight plans.

Abstract: An update control device determines whether or not an update of an update target ECU is to be completed within stop time from when a vehicle temporarily stops until the vehicle starts traveling, when a response indicating that the update can be executed is given from an in-vehicle ECU having dependency with the update target in-vehicle ECU.

Abstract: A method for providing driving assistance is implemented by a driving assistance system and includes the steps of: continuously capturing images of the surrounding environment of the vehicle; performing an image processing procedure on at least one of the images; determining whether a traffic sign indicating a message is detected in the at least one of the images, and whether additional information indicating a condition associated with the message is detected with respect to the traffic sign; determining whether an alert action is to be executed based on the message and a current condition associated with the vehicle; and when the determination is affirmative, executing the alert action.

Abstract: In one embodiment, an apparatus includes a first magnetometer that measures a magnetic field. The apparatus includes a second magnetometer that measures the magnetic field. The first and second magnetometer are positioned a predetermined distance apart from each other in a direction. The apparatus includes computer-readable media embodying logic that access a first measurement of the magnetic field by the first magnetometer at a first time and a second measurement of the magnetic field by the second magnetometer at a second time. The logic compares the first measurement with the second measurement and, based at least in part on the comparison, determines that the first measurement approximately coincides with the second measurement. Based at least in part on the coincidence, the logic determines that a device comprising the apparatus has traversed the predetermined distance in the direction that they are positioned apart from each other.

Abstract: An unmanned helicopter platform includes a fuselage, a tail coupled with the fuselage, a payload rail coupled with and extending along the fuselage and a main rotor assembly coupled with the fuselage. The tail includes a tail rotor and a tail rotor motor. The main rotor assembly includes a main rotor having an axis of rotation and a main rotor motor. The payload rail allows mechanical connection of payloads to the fuselage and positioning of the payloads such that a center of gravity of the payloads is alignable with the axis of rotation.

Abstract: A system for remote control of modular vehicle subassemblies within a vehicle assembly facility includes a central management system having predetermined assembly paths and specifications for the modular vehicle subassemblies and a zone management system having zone controllers in communication with the central management system and in communication with the onboard controllers of the modular vehicle subassemblies. The zone controllers are configured to receive transient data from the onboard controllers of the modular vehicle subassemblies and manage movement of the modular vehicle subassemblies throughout the zones within the vehicle assembly facility.

Abstract: A vehicle control system, comprising a remote operator selection server, a vehicle control device, and a remote operation terminal. The vehicle control device is configured to transmit a manual operation information to the remote operator selection server. The remote operator selection server is configured to acquire the manual operation information transmitted from the vehicle control device, to compute a difference between the manual operation information and a remote operation information for each of the plurality of remote operators, to select a remote operator for whom the difference satisfies a predetermined criterion as a remote operator to remotely operate the vehicle.

Abstract: A method for controlling an unmanned aerial vehicle (UAV) includes obtaining a signal strength of a remote control signal received by the UAV, obtaining a movement path of the UAV in response to the signal strength being less than a preset strength threshold, controlling the UAV to enter a backtrack return mode to return along the movement path, and controlling the UAV to exit the backtrack return mode in response to the signal strength being greater than the preset strength threshold. The movement path of the UAV includes position information of a plurality of discrete points, and the position information of the plurality of discrete points is calculated based on at least one of sensing information obtained by a satellite positioning system disposed in the UAV or sensing information obtained by a vision positioning sensor disposed in the UAV.

Abstract: A system, a method and a device for planning a driving path for a vehicle are described. In one example aspect, the device is configured to: analyze sense data to obtain positioning data of vehicles; assign vehicle transportation tasks to an unmanned vehicle and a manned vehicle in the predetermined area in accordance with a predetermined transportation task, each vehicle transportation task including a transportation start point and a transportation end point; plan driving paths for the unmanned vehicle and the manned vehicle based on the assigned vehicle transportation tasks, the vehicle positioning data and map data; transmit the assigned transportation task and the planned driving path for the unmanned vehicle to the unmanned vehicle; and transmit the assigned transportation task and the planned driving path for the manned vehicle to a mobile device corresponding to the manned vehicle.

Abstract: Disclosed is a moving robot including: a voice input unit configured to receive a voice input of a user; a first display capable of receiving a touch input; a second display larger than the first display; and a controller configured to perform control such that a screen to be displayed in response to the voice input or the touch input is displayed on at least one of the first display or the second display based on a type and an amount of information included in the screen, and accordingly, it is possible to provide information and services more effectively using the two displays.

Abstract: A vehicle control method includes recognizing a periphery of a vehicle, a first vehicle and a second vehicle present in the periphery, setting a target area between the first vehicle and the second vehicle based on a reference position of a first type of the first vehicle present in a lane of a lane change destination and a reference position of the first type of the second vehicle behind the first vehicle and present in the lane, and controlling the vehicle to enter the target area set based on a reference position of a second type of the first vehicle and a reference position of the second type of the second vehicle.

Abstract: Methods and systems for operating a moving platform to locate a known target at an area associated with the target are disclosed. In an example method to locate the target at the area, a first moving platform, configured with a first type of sensor, is caused to move to the area. An attempt is made to locate, via the first moving platform and the first type of sensor, the target at the area. Based on the attempt, a second moving platform, configured with a second type of sensor, is caused to move to the area. The target is located via the second moving platform and the second type of sensor.