Abstract: A system, apparatus and method for automatic environmental data collection and analysis are provided, including a server comprising: a processor and a communication interface, the processor configured to: receive, using the communication interface, a geographic survey request from a first computing device; translate the geographic survey request into mission data for collecting geographic survey data; transmit, using the communication interface, the mission data to a second computing device associated with a geographic survey entity; receive, using the communication interface, the geographic survey data collected by the geographic survey entity using the mission data; analyze the geographic survey data to generate processed geographic survey data; and, transmit, using the communication interface, the processed geographic survey data to the first computing device.

Abstract: The vehicle running control apparatus (driving support ECU 10) determines whether or not the driver of the vehicle is in an abnormal state in which the driver has lost an ability to drive the vehicle, and stops the vehicle by reducing the vehicle speed to 0 after an abnormality determination time point when the driver is determined to be in the abnormal state. The vehicle running control apparatus predicts a position at which the vehicle stops when the vehicle speed is reduced at a predetermined deceleration, when the predicted stop position is not within a stop prohibited area (for example, a curved road and a section within a predetermined distance from a point at which the road changes from the curved road to the straight road), it decelerates the vehicle with the deceleration and stops the vehicle. In contrast, the vehicle running control apparatus makes the vehicle ran with a constant speed when the predicted stop position is within the stop prohibited area.

Abstract: A mobile network device is provided and includes a memory and a control module. The memory is configured to store a driver assistance application. The control module is configured to execute the driver assistance application and when executing the driver assistance application the control module is configured to: receive mobile sensor signals from a plurality of sensors in the mobile network device; normalize the mobile sensor signals to generate normalized signals; translate the normalized signals to a plurality of time sequences representing vehicle behavior; concatenate the plurality of time sequences to generate pseudo-vehicle behavior signals; and generate driver assistance signals based on the pseudo-vehicle behavior signals to assist a driver of a vehicle.

Abstract: Example systems and methods enable an autonomous vehicle to request assistance from a remote operator when the vehicle's confidence in operation is low. One example method includes operating an autonomous vehicle in a first autonomous mode. The method may also include identifying a situation where a level of confidence of an autonomous operation in the first autonomous mode is below a threshold level. The method may further include sending a request for assistance to a remote assistor, the request including sensor data representative of a portion of an environment of the autonomous vehicle. The method may additionally include receiving a response from the remote assistor, the response indicating a second autonomous mode of operation. The method may also include causing the autonomous vehicle to operate in the second autonomous mode of operation in accordance with the response from the remote assistor.

Abstract: The present invention has an object to reduce occurrence of a state where a frame image with no visible subject has been generated during generation of a moving image with reduced variation in imaging trajectory. A camera trajectory estimating unit estimates an imaging trajectory during taking of a first moving image, from the first moving image. A camera trajectory correcting unit corrects a trajectory variation in the estimated imaging trajectory. An output image generating unit generates a second moving image corresponding to the corrected imaging trajectory, from the first moving image. Here, the camera trajectory correcting unit sets at least one reference point from the first moving image, and corrects the imaging trajectory so as to cause the reference point in frame images constituting the second moving image to have a position residing within a predetermined range in the frame image.

Abstract: Roughly described, a three-dimensional, multi-layer map is built employing sensory data gathering and analysis. The sensory data are gathered from multiple operational cameras and one or more auxiliary sensors. The multi-layer maps are stored in a map stored to be distributed to one or more autonomous vehicles and robots in the future. The techniques herein are described with reference to specific example implementations to implement improvements in navigation in autonomous vehicles and robots.

Abstract: A hybrid trip planning system can receive transport requests from requesting users, determine pick-up and/or drop off locations from the transport request, and select available autonomous vehicles (AV) to service the transport requests. For each transport request, the planning system can identify a plurality of entry points from the pick-up location to an autonomy grid on which the AVs operate, and a plurality of exit points from the autonomy grid to the drop-off location. The planning system may determine optimal entry and/or exit points and transmit transport data to the selected AV. The transport data can provide optimal routing for a human safety driver to drive the selected AV in manual segments that are off grid, and switch the AV into an autonomous driving mode within the autonomy grid.

Abstract: An analysis device for time series data from an apparatus to be diagnosed is provided with an accumulation device which accumulates sensor data, operation data, or control data, obtained from the apparatus, while accumulating time information, an algorithm accumulation unit which accumulates algorithms for recognizing behavior of the apparatus, a behavior recognition unit which recognizes behavior of the apparatus by using a recognition algorithm, and a specification unit which specifies a behavioral item to be recognized. A behavior recognition algorithm corresponding to the specified behavioral item is selected from the algorithm accumulation unit; sensor data, operation data, or control data is selected from the accumulation device; start and end times of a selected behavior are recognized by the behavior recognition unit; and the recognized start and end times are associated with time information about data accumulated in the accumulation device.

Abstract: Systems, apparatus and methods may be configured to implement actively-controlled light emission from a robotic vehicle. A light emitter(s) of the robotic vehicle may be configurable to indicate a direction of travel of the robotic vehicle and/or display information (e.g., a greeting, a notice, a message, a graphic, passenger/customer/client content, vehicle livery, customized livery) using one or more colors of emitted light (e.g., orange for a first direction and purple for a second direction), one or more sequences of emitted light (e.g., a moving image/graphic), or positions of light emitter(s) on the robotic vehicle (e.g., symmetrically positioned light emitters). The robotic vehicle may not have a front or a back (e.g., a trunk/a hood) and may be configured to travel bi-directionally, in a first direction or a second direction (e.g., opposite the first direction), with the direction of travel being indicated by one or more of the light emitters.

Abstract: Autonomous driving assistance systems, methods, and programs obtain road information that specifies classification of lanes located ahead in a direction in which a vehicle is traveling and road connection for each lane. The systems, methods, and programs specify, based on the road information, a planned route that is to be taken by the vehicle on a presumption that the vehicle travels without changing lanes, when the vehicle travels with autonomous driving assistance, and execute the autonomous driving assistance for the vehicle according to the specified planned route.

Abstract: Systems and method for creating, modifying, and utilizing a virtual 360-degree view of a telecommunications site with annotations thereon include obtaining data capture from the telecommunications site, wherein the data capture includes one or more of photos and video; processing the data capture to create a three-dimensional (3D) model of the telecommunications site with associated geography, buildings, and constructions therein; obtaining object data associated with one or more objects of interest located at the telecommunications site, in the associated geography, the buildings, and the constructions; inserting annotations for each of the one or more objects of interest in the 3D model at associated locations and with associated information for each of the one or more objects of interest; and utilizing the 3D model with the annotations for one or more of planning, engineering, and installation associated with the telecommunications site.

Abstract: Among other things, a vehicle drives autonomously on a trajectory through a road network to a goal location based on an automatic process for planning the trajectory without human intervention; and an automatic process alters the planning of the trajectory to reach a target location based on a request received from an occupant of the vehicle to engage in a speed-reducing maneuver.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: A vehicle control system includes a detection section that detects a nearby vehicle traveling in the vicinity of a vehicle, a prediction section that predicts positions at plural future points in time for the nearby vehicle detected by the detection section, a derivation section that derives boundary positions for the vehicle at the plural future points in time so as to provide a margin on a side encroaching on a lane change target area of the vehicle with respect to the positions of the nearby vehicle predicted by the prediction section for the plural future points in time, and a course generation section that generates a target course for changing lanes based on the boundary positions of the vehicle derived by the derivation section for the plural future points in time.

Abstract: Methods and systems for assisting a driver when coupling a vehicle to a trailer. One method includes (a) obtaining image data of an area to the rear of the vehicle, (b) identifying at least a portion of the trailer based on the image data, (c) determining a distance between the vehicle and the identified portion of the trailer, (d) determining a perspective based on the determined distance, (e) generating, with a controller included in the vehicle, a view of the trailer based on the image data, the view having the determined perspective, and (f) displaying the generated view. The method also includes (g) repeating (c) through (f) as the vehicle nears the trailer, wherein the determined perspective changes as the vehicle gets closer to the trailer.

Abstract: Methods and systems for autonomous and semi-autonomous vehicle routing are disclosed. Roadway suitability for autonomous operation is scored to facilitate use in route determination. Maps of roadways suitable for various levels of autonomous operation may be generated. Such map data may be used by autonomous vehicles or other computer devices in determining routes based upon criteria for vehicle trips. Such routes may be automatically updated based upon changes in road conditions, vehicle conditions, operator conditions, or environmental conditions. Emergency routing using such map data is described, such as automatic routing and travel when a passenger is experiencing a medical emergency.

Abstract: One embodiment describes a control system in an automation system including a first portion located at a first vehicle, which includes a first autonomous module that autonomously controls operation of the first vehicle to perform operations in a first area based at least in part on a first target operation result while the first portion is in an autonomous mode; and a second portion located at a second vehicle, in which the second portion includes a second autonomous module that autonomously controls operation of the second vehicle to perform operations in a second area based at least in part on a second target operation result while the second portion is in the autonomous mode and a first command module that determines the first target operation result and the second target operation result based at least in part on a global plan that indicates a total target operation result.

Abstract: An information processing device includes circuitry configured to acquire, from vehicles each of which has a lane keeping function of allowing each of the vehicles to travel along a lane, a use information of the lane keeping function during a travel, extract a region in which a use rate of the lane keeping function is low, on the basis of the use information, and transmit a notification information based on the use rate to a given vehicle having the lane keeping function.

Abstract: A control apparatus of a robot cleaner includes a user interface unit to receive a user command controlling the robot cleaner; a controller to generate a control signal to receive a map of a cleaning area, based on the user command; and a communicator to receive the map of the cleaning area from an external server or the robot cleaner, based on the control signal. An embodiment may download or generate a map of a cleaning area and allow a map editing to be performed by a user. An embodiment may set and edit a cleaning schedule. When setting the cleaning schedule, an embodiment may recommend a cleaning schedule based on cleaning history data. An embodiment may automatically determine whether the environment is changed or whether the cleaning is available, while the robot cleaner performs the cleaning, and it may be possible to actively deal with this.

Abstract: In order to use a manned-travel work vehicle, such as a multi-purpose transport vehicle, for transporting machinery or material or for moving for the purpose of work, a rest or the like, and to cause an unmanned-travel work vehicle to reliably arrive at a destination using wireless communication, the present invention provides a work vehicle transport system. In the transport system, travel trajectory information about a travel trajectory of a first vehicle that is a manned-travel work vehicle to a work location is transmitted via wireless communication to a second vehicle, and it is determined whether the second vehicle is to perform unmanned-travel along the travel trajectory.

Abstract: Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a system for detecting whether a road on which a host vehicle travels is a one-way road may include at least one processing device. The processing device may be programmed to receive at least one image associated with an environment of the host vehicle, identify a first plurality of vehicles on a first side of the road, identify a second plurality of vehicles on a second side of the road, determine a first facing direction associated with the first plurality of vehicles, determine a second facing direction associated with the second plurality of vehicles, and cause at least one navigational change of the host vehicle when the first facing direction and the second facing direction are both opposite to a heading direction of the host vehicle.

Abstract: The present disclosure provides systems and methods that control the motion of an autonomous vehicle by rewarding or otherwise encouraging progress toward a goal, rather than simply rewarding distance travelled. In particular, the systems and methods of the present disclosure can project a candidate motion plan that describes a proposed motion path for the autonomous vehicle onto a nominal pathway to determine a projected distance associated with the candidate motion plan. The systems and methods of the present disclosure can use the projected distance to evaluate a reward function that provides a reward that is positively correlated to the magnitude of the projected distance. The motion of the vehicle can be controlled based on the reward value provided by the reward function. For example, the candidate motion plan can be selected for implementation or revised based at least in part on the determined reward value.

Abstract: A system and methods are provided for generating a safety level notification with respect to a passing vehicle maneuvering to overtake a leading vehicle by travelling in a lane designated for opposing traffic. The system may include a camera having a narrow bandwidth emitter, an image sensor, a lens subsystem and a processor. The processor is configured to perform the steps of: determining a speed and a position of the leading vehicle; receiving images from the camera; processing the images to calculate a-speed and a position of an on-coming vehicle travelling in the lane designated for opposing traffic and approaching the passing vehicle; responsively determining a safety level of performing an overtaking maneuver; and providing a notification of the safety level to a driver of the passing vehicle.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: selecting, by a controller onboard the vehicle, first data for a region from a first device onboard the vehicle based on a relationship between a time associated with the first data and a frequency associated with a second device, obtaining, by the controller, second data from the second device, the second data corresponding to the region, correlating, by the controller, the first data and the second data, and determining, by the controller, a command for operating one or more actuators onboard the vehicle in a manner that is influenced by the correlation between the first data and the second data.

Abstract: Systems for use with an autonomous vehicle. The systems in various embodiments include a non-transitory storage device comprising an autonomous-vehicle context module that, when executed by a hardware-based processing unit, determines that manual operation of the vehicle is recommended or required during autonomous operation of the vehicle. The storage device also includes an autonomous-vehicle driver module that, when executed, determines that a vehicle occupant is not ready to take manual control of the autonomous vehicle based on one or both of occupant-position data, indicating a position of the vehicle occupant, and occupant-gaze data, indicating a gaze of the vehicle occupant. The system may in response advise the user of the need to take proper position to assume manual control of the vehicle. The system may also adjust present autonomous driving, such as to slow the vehicle, or pull the vehicle over to park.

Abstract: A method of operating a mobile robot includes generating a segmentation map defining respective regions of a surface based on occupancy data that is collected by a mobile robot responsive to navigation of the surface, identifying sub-regions of at least one of the respective regions as non-clutter and clutter areas, and computing a coverage pattern based on identification of the sub-regions. The coverage pattern indicates a sequence for navigation of the non-clutter and clutter areas, and is provided to the mobile robot. Responsive to the coverage pattern, the mobile robot sequentially navigates the non-clutter and clutter areas of the at least one of the respective regions of the surface in the sequence indicated by the coverage pattern. Related methods, computing devices, and computer program products are also discussed.

Abstract: An automatic driving system mounted on a vehicle includes a navigation device that searches for a route from a current position of the vehicle to a destination, a high precision map unit that generates detail information of the route based on the searched route and map information, and an automatic driving control device that performs automatic control of acceleration and deceleration and steering of the vehicle using at least the detail information. The high precision map unit divides the route into a plurality of block regions and, out of the detail information corresponding to the block regions, outputs the detail information currently required for the automatic control to the automatic driving control device in a unit of block region.

Abstract: To control a speed at a time of entering a curved road a vehicle to autonomously travel within a travelling lane even in a case where there is an error in an estimated longitudinal position of the vehicle. A curve travel speed calculation unit 15b calculates a curve travel speed for a vehicle to autonomously travelling in a travelling lane based on a curve radius and an estimated error in longitudinal position. A speed planning unit 15c and a travel control unit 17 decelerate the vehicle M such that the speed of the vehicle M becomes the curve travel speed at the time of entering the curved road in front of the vehicle M in a case where the speed of the vehicle M is equal to or higher than the curve travel speed and the curve travel speed is equal to or higher than the reference speed.

Abstract: Systems and methods for Unmanned Aerial Vehicle (UAV) network switchover and emergency procedures, implemented by a UAV includes communicating to an Air Traffic Control (ATC) system via a primary wireless network; receiving and storing emergency instructions from the ATC system; detecting communication disruption on the primary wireless network to the ATC system; responsive to the detecting, switching to a backup wireless network to reestablish communication to the ATC system; and, responsive to failing to reestablish communication to the ATC system via the backup wireless network, implementing the emergency instructions.

Abstract: An agricultural work vehicle capable of communicating with a host computer and capable of being steered by a remote control device so as to enable the agricultural work vehicle to link with the host computer and perform in an optimum work form, wherein the agricultural work vehicle is provided with a position calculation means measuring the position of the machine body, a steering actuator operating a steering device, a shifting means, and a control device controlling them. An optimum working speed and an optimum work driving value calculated from past and current weather information, field information, work information, work machine information, and crop information are transmitted from the host computer to the control device. The agricultural work vehicle is controlled and caused to work at the optimum working speed and the optimum work driving value along a set travel path.

Abstract: A control system of an autonomous vehicle (AV) can receive sensor data from a sensor array of the AV. The sensor data can comprise raw radar data from a radar system of the sensor array, and in many examples, a live LIDAR data from a LIDAR system of the sensor array. In certain implementations the control system can access a current localization map or a live LIDAR map of a surrounding area of the AV, and compare the raw radar data with the current localization map or the live LIDAR map to identify multipath objects in the raw radar data. The control system may then remove the multipath objects or track the actual objects corresponding to the multipath objects accordingly.

Abstract: A method of mapping an area to be mowed with an autonomous mowing robot comprises receiving mapping data from a robot lawnmower, the mapping data specifying an area to be mowed and a plurality of locations of beacons positioned within the area to be mowed, and receiving at least first and second geographic coordinates for first and second reference points that are within the area and are specified in the mapping data. The mapping data is aligned to a coordinate system of a map image of the area using the first and second geographic coordinates. The map image is displayed based on aligning the mapping data to the coordinate system.

Abstract: A path planning apparatus and method for an autonomous vehicle are provided. The apparatus includes a surrounding information detector that detects surrounding information around the vehicle and a vehicle information detector that detects vehicle information regarding driving states of the vehicle. A vehicle behavior determiner determines vehicle behavior based on the surrounding information and the vehicle information and a driving path generator generates a driving path and a velocity profile for a lane change using the surrounding information and the vehicle information when receiving a lane change signal from the vehicle behavior determiner.

Abstract: In an apparatus for controlling operation of an autonomously navigating utility vehicle equipped with a prime mover to travel about a working area delineated by a boundary wire laid thereat in order to perform work autonomously, there are provided with a working region establishing unit that divides the working area into multiple regions by an imaginary boundary line designated by an operator and establishes a preferential working region in the working area, and a travel controlling unit that controls operation of the prime mover to make the vehicle travel autonomously in the preferential working region, discriminates whether the vehicle has reached the imaginary boundary line based on a detected vehicle position detector, and when the vehicle has reached the imaginary boundary line, controlling operation of the prime mover to make the vehicle turn toward inside of the preferential working region.

Abstract: Methods and systems for testing the operation of autonomous or semi-autonomous operation features in a virtual test environment are provided. Computer-executable instructions for implementing the features may be received and executed on a test device. Test input signals may be presented to software routines associated with the features, which may generate output signals including control commands. The output signals may be used to predict the response of a vehicle in the virtual test environment, which may include a simulation of vehicle responses to the output signals. Measures of the effectiveness of the features may be determined based upon the predicted responses of the vehicle, which may then be used to determine risk levels associated with the features.

Abstract: A pool cleaning robot, a mobile computer, and a method for operating a pool cleaning robot, the method may include receiving, by the pool cleaning robot, demarcation information that defines pool zones and pool cleaning robot operational parameters related to the pool zones; wherein the demarcation information is generated by a mobile computer and under a control of a user; and performing a cleaning operation, by the pool cleaning robot, based on the demarcation information.

Abstract: A trackless vehicle may be dispatched in a ride path comprising a predefined path and a set of optional predefined paths by receiving, such as by an on-board trackless vehicle controller, a rider identifier associated with a rider who is associated with the trackless vehicle, either a rider about to board the trackless vehicle or a rider who has boarded the trackless vehicle. Upon receipt, identification, and validation of the rider identifier, a predetermined set of optional predefined paths available to and associated with the validated rider identifier are identified and one or more of the predefined paths are selected, with the trackless vehicle being commanded to proceed onto the selected predefined path.

Abstract: A modeling method performed for a cell site to detect changes in or at the cell site includes obtaining first data regarding the cell site from a first audit performed using one or more data acquisition techniques and obtaining second data regarding the cell site from a second audit performed using the one or more data acquisition techniques, wherein the second audit is performed at a different time than the first audit; processing the first data to define a first model of the cell site using the associated one or more location identifiers and processing the second data to define a second model of the cell site using the associated one or more location identifiers; comparing the first model with the second model to identify the changes in or at the cell site; and performing one or more actions based on the identified changes.

Abstract: This disclosure describes various embodiments for steering wheel recoupling for an autonomous vehicle. In an embodiment, a steering system is described. The steering system may comprise a steering wheel, wheels controlled by the steering wheel, and a wheel alignment control module. The wheel alignment control module may be configured to determine the steering wheel is decoupled from the steering system, determine a current angle of the wheels controlled by the steering wheel, activate an indicator, the indicator determined based, at least in part, upon the current angle, determine the steering wheel is positioned for recoupling, and recouple the steering wheel to the steering system.

Abstract: An information providing system for a vehicle is provided. The vehicle is operable by a driver capable of exhibiting driving behavior, the driving behavior being a recorded frequency of occurrences. The system can include a processor that is configured to: obtain a first driving pattern from the driving behavior, the first driving pattern being specified when the same driving behavior is repeated above a threshold frequency; select at least one functionality based on the first driving pattern obtained; and recommend the at least one functionality selected by the selector to the driver.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a vehicle dimension prediction method includes producing a set of simulated observed dimensions based a set of known vehicle dimensions and training a machine learning module based on the set of simulated observed dimensions and the set of known vehicle dimensions. The method further includes acquiring sensor data associated with a first vehicle observed by a sensor system of an autonomous vehicle, determining observed dimensions of the first vehicle based on the acquired sensor data, and determining, with a processor, predicted actual dimensions of the first vehicle by applying the plurality of observed dimensions to the machine learning model.

Abstract: Example embodiments include an aerial vehicle configured to establish a geo-fence. In particular, an aerial vehicle may include an inertial measurement unit, a GPS sensor, and vehicle controller circuitry that works together to establish a geo-fence based on an initial location. In an example embodiment, the aerial vehicle may establish a rectangular geo-fence and a wind direction based on received angular data, acceleration data, and location data. The rectangular geo-fence may include a minimum fence height, a maximum fence height, a fence length, and a fence width.

Abstract: A vehicle navigation route search system, method, and program search for a recommended route in the case where a vehicle travels by autonomous driving control in an autonomous driving section where autonomous driving control of the vehicle is permitted. The system, method, and program calculate a cost value by using a cost table for autonomous driving control which is set such that a route that is more suitable for traveling by autonomous driving control has a lower cost value, and search for the recommended route based on the calculated cost value.

Abstract: Sensor information is collected from human driven vehicles which are driven in a given region. From the sensor information, a road condition is detected on a road segment, where the road condition has a sufficiently high likelihood of impairing autonomous vehicles in safely navigating through the one or more road segments. Information about the one or more road segments is communicated to the one or more autonomous vehicles.

Abstract: A travel pattern communication unit 15 receives a low fuel consumption travel pattern of a preceding vehicle of an own vehicle from a server device 200. A travel pattern correction unit 17 corrects a reference travel pattern of the own vehicle generated by a travel pattern generation unit 16 based on the low fuel consumption travel pattern of the preceding vehicle received by the travel pattern communication unit 15.

Abstract: An entry availability determination system including a detector that detects a current position of a work machine that performs predetermined work while traveling a work target zone along a predetermined travel route; and a determination information generation unit that generates determination information indicating whether entry is possible by determining whether the work machine can enter from a current position for preparing entry of the work machine only by forward movement along an entry route formed so that the work machine enters at an entry position in a same direction as a traveling direction when the work machine travels the travel route, at the entry position positioned on an opposite side of the traveling direction of the work machine with respect to a work complete position or a work incomplete position on the travel route, when the work machine gets out of the travel route.

Abstract: A method for measuring and displaying the track geometry of a track system uses a track-driveable permanent-way machine, comprising a control measurement system measuring the track position to be corrected before a lifting and lining device, an acceptance measurement system measuring the corrected track position after it, and output units displaying the measured values. The lifting and lining device is controlled depending on the measured values of the control measurement system and the acceptance measurement system to achieve a specified target track geometry. A three-dimensional position image is calculated from the curvature image (k(s)), longitudinal level image (h(s)) and superelevation image (u(s)) of the target track geometry, put into a perspective display, and displayed by the output unit, supplemented by measured error curves for track parameters of track direction, superelevation, twist, and longitudinal level.

Abstract: Systems and methods for providing a series of multiuse UAV docking stations are disclosed. The docking stations can be networked with a central control and a plurality of UAVs. The docking stations can include a number of services to facilitate both UAV guidance and maintenance and community acceptance and benefits. The docking stations can include package handling facilities and can act as a final destination or as a delivery hub. The docking stations can extend the range of UAVs by providing recharging/refueling stations for the UAVs. The docking stations can also include navigational aid to guide the UAVs to the docking stations and to provide routing information from the central control. The docking stations can be incorporated into existing structures such as cell towers, light and power poles, and buildings. The docking stations can also comprise standalone structures to provide additional services to underserved areas.

Abstract: A mobility status of a vehicle is estimated based on received data from a data collection device associated with a vehicle. The received data includes a first data set collected at a first point of time and a second data set collected at a second point of time. The mobility status of the vehicle is estimated based on a difference between values or a status change of at least one common parameter of the first data set and the second data set and based on the time difference between the first point of time and the second point of time. The estimated mobility status of the vehicle is stored at multiple points of time in a vehicle-specific mobility status database.

Abstract: A view monitoring system for a vehicle, comprising four pairs of cameras, a processing unit, a visual display unit, an obstacle detection unit and a signaling unit. The four pairs of cameras may be positioned on a front, rear, and sides of the vehicle and detect images of the same number of areas near the vehicle. The processing unit may be configured to provide a single overall image of the surroundings of the vehicle in response to the images. The visual display unit may display the overall image. The obstacle detection unit may detect obstacles in the overall image. The signaling unit may signal the detected obstacles to the driver.