Abstract: Disclosed is a method including obtaining, using at least one processor, a user destination; obtaining, using the at least one processor, preference data indicative of a user route preference; determining, using the at least one processor, based on the user destination and the preference data, a set of routes towards a set of destinations, wherein at least one route of the set of routes is associated with one or more operational metrics; ranking, using the at least one processor, based on the preference data, the routes of the set of routes; and controlling, using the at least one processor, based on at least one of the ranked routes, navigation of an autonomous vehicle Systems and computer program products are also provided.

Abstract: A control system uses visual odometry (VO) data to identify a position of the vehicle while moving along a path next to the row and to detect the vehicle reaching an end of the row. The control system can also use the VO image to turn the vehicle around from a first position at the end of the row to a second position at a start of another row. The control system may detect an end of row based on 3-D image data, VO data, and GNSS data. The control system also may adjust the VO data so the end of row detected from the VO data corresponds with the end of row location identified with the GNSS data.

Abstract: An object mapping system for determination of a point of interest (POI) in an environment, including: creating a map of the environment; performing object recognition to locate objects of interest based on characteristics of the environment; generating a map with tags of the objects and the characteristics; providing navigation to guide a device to an object of interest selected from the objects based on a distance from a current location to a destination location of the device; determining angles from an initial position of a laser pointer to the object; generating signals to rotate servomotors based on the angles; processing the signals to rotate the servomotors such that the pointer is rotated from the initial position in coordinate-based directional angles to the object; generating a laser beam that targets the object for determination of the POI associated with the object that is associated with destination location of the computing device.

Abstract: A system includes a first computer and a second computer. The first computer is programmed to receive a request from the second computer to move a vehicle from a first location to a second location and synchronize a timer stored in each of the computers. The first computer determines a route including waypoints from the first location to the second location and determines predicted travel times for legs of the route. The predicted travel times include a first predicted travel time for a first leg defined from the first location to a first waypoint included in the waypoints and the first computer transmits the route and the travel times to the second computer. The second computer is programmed to determine an elapsed time of travel and predict a location of the vehicle based on the elapsed time of travel and the first predicted travel time.

Abstract: Embodiments of the present disclosure provide a line laser module and an autonomous mobile device. The line laser module includes a fixed base, and a camera and a line laser emitter arranged on the fixed base. The line laser emitter is provided at one or more sides of the camera, and configured to emit a laser with a linear projection. The camera is configured to operate in conjunction with the line laser emitter, and to capture an environmental image. An infrared filter is arranged in front of the camera, and configured to allow only infrared light to enter the camera. The autonomous mobile device includes an infrared flashlight. The camera is configured to capture, at different time points, a first environmental image for distance measurement and a second environmental image for object identification.

Abstract: A method for controlling an aircraft, in particular a VTOL multirotor aircraft, in which flight influencing units of the aircraft a) are supplied with control commands via a first/control channel from a first computer (COM), which control commands originate or are derived from a pilot input (PE), and b) the control commands are monitored by a second/monitoring channel and a second computer (MON), which checks whether the control commands are suitable for a given physical state of the aircraft and the pilot input, c) the second computer determines whether a current navigation state of the aircraft coincides with the pilot input, which has been transformed into a desired navigation state of the aircraft, preferably by the second computer, within a prescribed deviation, and d) a control signal for controlling the aircraft is generated in dependence on a determination result of step c).

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: 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: 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: 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: 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 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: An autonomous driving apparatus and method, in which the autonomous driving apparatus may include a sensor unit configured to detect a surrounding object including a surrounding vehicle around an ego vehicle that autonomously travels, a memory configured to store map information, and a processor configured to control autonomous driving of the ego vehicle based on an expected driving trajectory generated based on the map information stored in the memory.

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: 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 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.