Abstract: A method for position calculation of an antenna is provided. The method comprises calculating ranges between the antenna and the at least three transponders. The calculation includes range measurements between an antenna and at least three transponders. Respective positions of the at least three transponders are known. The method further comprises providing a first coordinate of three coordinates. The three coordinates indicate a position of the antenna. The method further comprises calculating second and third coordinates of the three coordinates based on the calculated ranges between the antenna and the at least three transponders. The method further comprises predicting ranges between the antenna and the at least three transponders based on the provided first coordinate and the calculated two coordinates. The method further comprises performing an optimization process based on the calculated ranges and the predicted ranges to infer an optimized position of the antenna.

Abstract: A high-definition map building method includes determining a key node describing information about a key position of a lane attribute change, determining a key node layer based on a position of the key node and an attribute of the key node, and determining a high-definition map based on a navigation map and the key node layer. The navigation map provides road-level navigation information, and the high-definition map provides lane-level navigation information.

Abstract: An approach is provided for computing an estimated time of arrival via a route based on a degraded state of a vehicle after an accident and/or malfunction. The approach involves receiving, by one or more processors, data indicating an operational status of a vehicle. The approach also involves processing, by the one or more processors, the data to determine a degraded operational state of the vehicle. The approach further involves computing, by the one or more processors, an estimated time of arrival, a route, or a combination thereof of the vehicle based on the degraded operational state.

Abstract: Systems and methods for cooperatively managing mixed traffic at an intersection are disclosed herein. One embodiment determines, at an autonomous sensor-rich vehicle, that one or more other vehicles are following in the same lane, the one or more other vehicles including at least one legacy vehicle; communicates with the one or more other vehicles to form a platoon; receives Signal Phase and Timing (SpaT) information from a roadside unit associated with an intersection toward which the platoon is traveling; calculates at the autonomous sensor-rich vehicle, based at least in part on the SPaT information and location information for the platoon, a speed profile and a trajectory for the autonomous sensor-rich vehicle that minimize a delay of the platoon in traversing the intersection while accounting for fuel consumption; and executes the speed profile and the trajectory to control indirectly the one or more other vehicles while the platoon traverses the intersection.

Abstract: Methods, apparatuses, and computer program products are disclosed for providing dynamic travel transactions. An example computer-implemented method includes receiving first device data of a first user device associated with a first user. The first device data includes first trip data of a vehicle and the first user. The example method further includes receiving travel variability data associated with the vehicle that includes one or more vehicle operating parameters that vary during travel of the vehicle. The example method also includes generating a travel transaction based upon the first device data of the first user device and the travel variability data associated with the vehicle. In some instances, the method includes determining a base transaction based upon the first device data that's effectuated at a first time and determining a modification to the base transaction based upon the travel variability data that's effectuated at a second time.

Abstract: Methods and systems are provided for learning characteristics of a road segment and using the learning during a subsequent travel on the road segment to preview the road segment and schedule diagnostic routines to increase in-use monitor performance (IUMP) rates for vehicle system diagnostics. In one example, a method may include scheduling a diagnostic routine for an engine sub-system based on the learned characteristics of the road segment, and a variable adjustable based on IUMP rate.

Abstract: A navigation system includes: a communication unit configured to receive vehicle environment information of a user vehicle, the vehicle environment information including proximate vehicle information representing proximately located vehicles relative to the user vehicle; and a control unit, coupled to the communication unit, configured to: determine lane reference vehicles from the proximately located vehicles based on a vehicle type of the proximately located vehicles; monitor the relative location of the lane reference vehicles; generate a road lane model including a lane delineation estimation based on the relative location of the lane reference vehicles; and calculate a lane position of the user vehicle according to the lane delineation estimation based on a lateral position shift of the user vehicle.

Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises identifying multiple contextual factors within a navigational data based on navigational data containing a plurality of indicative markers, wherein the multiple contextual factors have an impact on a size of the navigational data associated with a navigational path; classifying the identified multiple contextual factors according to a contextual analysis of portions of the navigational path; and generating a microfluidic-based spiral representation of the navigational path for a user interface within a computing device based on a classification of the identified multiple contextual factors associated with the navigational data.

Abstract: An unmanned ground-based system is disclosed which includes a chassis, a plurality of wheels coupled to the chassis and configured to allow the chassis to move about a surface, a plurality of propeller assemblies configured to provide on-ground motion propulsions, a boom having a boom propeller assembly with a propeller disposed on a plane generally perpendicular to the plurality of propeller assemblies, configured to independently and selectively provide positive and negative rectilinear thrust vectors, and an end-effector coupled to a distal end of the boom, the end-effector having a force sensor configured to provide contact force between the end-effector and an object, wherein the contact force is used as a feedback signal to determine magnitude of the positive and negative rectilinear thrust vectors that is generated by the propeller of the boom propeller assembly.

Abstract: A path providing device configured to provide a path information to a vehicle includes: a communication unit configured to receive map information from a server, the map information including a plurality of layers of data, an interface unit configured to receive sensing information from one or more sensors disposed at the vehicle, a memory configured to store information used to determine and update the optimal path, and divided into a plurality of storage spaces, and a processor configured determine an optimal path for guiding the vehicle from an identified lane, generate autonomous driving visibility information based on the sensing information and the determined optimal path, update the optimal path based on dynamic information related to a movable object located in the optimal path and the autonomous driving visibility information, and store the plurality of map information separately in the plurality of storage space.

Abstract: A program causes an information processing device communicable with a server to execute steps of: displaying stoppage points of the specific vehicle and at least part of a travel route passing through the stoppage points; transmitting the server a first request to modify the travel plan so that a user of the information processing device gets on the specific vehicle or gets off the specific vehicle at the stoppage point when the stoppage point is designated by a user operation; and transmitting the server a second request to modify the travel plan so that the specific vehicle goes by way of the designated point as an additional stoppage point and the user gets on the specific vehicle or gets off the specific vehicle at the additional stoppage point when the point other than the stoppage points is designated by the user operation.

Abstract: An unmanned aerial vehicle (UAV) navigation system includes a portable, ground-based landing pad comprising having a first antenna configured to transmit a data packet; a UAV comprising a second antenna configured to receive the data packet; and second processing circuitry configured to determine a signal strength between the first antenna and the second antenna; determine, based on the signal strength, an orientation of the vehicle relative to the landing pad; and determine, based on a time of flight of the data packet, a distance between the vehicle and the landing pad.

Abstract: A method for relocating a mobile vehicle in a simultaneous localization and mapping (SLAM) map is provided. The method can be used in the mobile vehicle moving in an area and includes: using SLAM to establish the SLAM map that corresponds to the area at an initial time point; detecting, by a non-SLAM positioning device, a first position trajectory and a first azimuth trajectory of the mobile vehicle on the SLAM map; detecting, by a SLAM positioning device, a loss probability of the mobile vehicle between a first timestamp and a second timestamp; determining whether a condition is satisfied; and updating the SLAM map to a new SLAM map corresponding to a current time point and updating positioning information of the mobile vehicle in the new SLAM map when the condition is satisfied at the current time point.

Abstract: A dynamic navigation coach system is programmed to monitor and assist drivers while keeping them engaged en route to the destination. The system may provide driver navigation assistance and training that monitors user navigational skills, driving habits, and environmental factors, and provides dynamically adjustable tools to provide varying levels of navigation assistance in a game play format. The system may selectively provide navigational directions or corrections to the driver when the driver deviates from a scheduled travel route, instead of providing instructions at every driving event.

Abstract: An electromechanical control system for a bicycle has a switch device, the switch device operating a switch between at least three positions. A control communication device transmits signals responsive to operation of the switch. The electromechanical control system includes an operation device configured to respond to signals transmitted by the control communication device. Signals transmitted by the control communication device include commands to listen and commands to operate.

Abstract: Systems, methods, and other embodiments described herein relate to a drone having selectively actuated arms. In one embodiment, a drone includes arms connected to a body. Individual ones of the arms have a first end and a second end with the first end forming a connection with the body. The drone further includes rotor units individually including a propeller attached to a motor and mounted to the second end of the individual ones of the arms. Additionally, actuator units are integrated with the arms. Individual ones of the actuator units include electromagnetic cells that when activated induce an electromagnetic motive force that flexes the arms.

Abstract: Based on schedule information indicating one or more events to be occurred and information relating to a location associated with each of the one or more events, a navigation method estimates an area and time at which congestion may be likely to occur in the vicinity of the location. Furthermore, the navigation method presents to a moving body information which is based on the estimated result of the area and the time, and which is related to a movement plan when moving using the moving body.

Abstract: Flight control unit and flight unit start flight in accordance with a flight plan. Flight history acquisition unit acquires a flight history of drone. Flight plan acquisition unit acquires a flight plan for drone. Inspection timing determination unit calculates a difference between the acquired flight plan and the acquired flight history, and based on the difference, determines an inspection timing for drone. Inspection timing notification unit provides notification of the determined inspection timing.

Abstract: A machine train is composed of a road milling machine that travels in front and a road finisher that travels behind. The road milling machine has a profile data determining device configured so that a sequence of height profile data describing the height of the road surface in the longitudinal direction is determined while the road milling machine advances. For transmission of the height profile data, a data transmission device is provided on the road milling machine and a data receiving device is provided on the road finisher. To change the position of the screed, the road finisher has a levelling device that comprises at least one actuator and a control unit, which is configured so that the control unit generates a control signal for controlling the at least one actuator in accordance with a height profile data set.

Abstract: Methods for mapping safe and traversable routes for robot vehicles comprise using a deviation to create an operating range threshold that is to be included in a stored path and used by a robot vehicle as a threshold for normal operating conditions when the robot vehicle traverses a safe and traversable route. Methods for responding to unsafe conditions detected by a robot vehicle during operations comprise executing a contingency plan when a variance exceeds an operating delta and does not exceed an intervention delta. Methods for responding to anomalous conditions encountered by a robot vehicle comprise contacting a human controller when a variance exceeds an operating delta and an intervention delta.