Abstract: Systems and methods are provided for navigating a host vehicle. A processing device may be programmed to receive an image representative of an environment of the host vehicle; determine a planned navigational action for the host vehicle; analyze the image to identify a target vehicle travelling toward the host vehicle; determine a next-state distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a stopping distance for the host vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the host vehicle; determine a stopping distance for the target vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the stopping distances for the host vehicle and the target vehicle.

Abstract: An autonomous un-parking system and method of a vehicle that identify a user when un-parking a parked vehicle to propose a user-based boarding location, and control user-customized autonomous un-parking, may include a communication terminal of a user, a communication device disposed in a vehicle to receive an un-parking request of the vehicle from the communication terminal, and a controller disposed in the vehicle to determine a boarding location based on the user in a response to the un-parking request, and to control un-parking of the vehicle to the determined boarding location.

Abstract: A system and method are provided for controlling an interior configuration of a vehicle following a collision. Sensor data that includes, or is derived from data that includes, data collected by one or more sensors is received, and a vehicle accident condition indicative of an accident having occurred is detected by processing the sensor data. After detecting the vehicle accident condition, an actuator component is caused to prevent a passenger from adjusting an interior vehicle component outside a predetermined range of physical configurations, while allowing the passenger to adjust the interior vehicle component within the predetermined range of physical configurations.

Abstract: Examples described herein are directed to systems and methods for autonomous vehicle control system testing. A testing utility may receive log data describing a first location of a capturing vehicle at a first driven route time and a second location of the capturing vehicle at a second drive route time. The testing utility may, using at least the location data, determine a first routing graph modification to constrain a navigator component of an autonomous vehicle control system under test. The testing utility may provide the first routing graph modification to the navigator component to cause the navigator component to generate a testing route.

Abstract: The subject disclosure relates to solutions for arbitrating traffic blockages along vehicle routes. In some aspects, the disclosed technology encompasses a method including steps for determining a vehicle route, wherein the vehicle route comprises at least one lane plan to be followed by an autonomous vehicle (AV), identifying a blockage along the vehicle route, analyzing the blockage to determine if the blockage constitutes a persistent blockage, and if the blockage constitutes a persistent blockage, associating a time value with the blockage. Systems and machine-readable media are also provided.

Abstract: A computer-implemented method, a computer system, and a computer program product for trajectory similarity search is provided. The present invention may include, in response to receiving, by one or more processors, a search request for at least one trajectory similar to a query trajectory, determining, by one or more processors, a respective similarity between a query trajectory and a plurality of trajectories by calculating, in a synchronized way, a spatial distance measure and a time difference measure between the query trajectory and the plurality of trajectories. The present invention may further include, identifying, by one or more processors, the at least one trajectory from the plurality of trajectories based on the respective similarity between the query trajectory and the plurality of trajectories.

Abstract: A method for determining a maneuvering reserve in an aircraft having a number of propulsion units, preferably a multirotor VTOL aircraft, most preferably an aircraft with electrically operated drive units for the rotors, including the steps: a) Determining a control vector, ?, for the aircraft, ?=(L M N F)T, the components of which represent control torques of the aircraft around the roll axis, L, the pitch axis, M, and the yaw axis, N, and a total thrust, F, b) Approximating an existing four-dimensional control volume, D, of the aircraft by a four-dimensional ellipsoid, E, the axes of which represent the control torques, L, M, N, of the aircraft and the total thrust, F, c) Determining a normalized control vector, ?ind=(Lind Mind Nind Find)T for the aircraft, using axis dimensions, Lmax, Mmax, Nmax, Fmax, of the ellipsoid, in particular semi-axis dimensions of the ellipsoid; and d) Outputting at least the normalized control vector, ?ind, for determining a permissible flight maneuver in at least one dimension

Abstract: Systems and methods of generating scenic routes and safe parking locations near scenic points are provided. Based at least in part upon a driver indication of a preference for a scenic route from an origin location to a destination location, a mobile device application may generate a scenic route by selecting route segments between the origin location and the destination location associated with a large number of scenic points. Scenic points may be identified based at least in part upon historical driver telemetry data and POI data. For instance, if historical telemetry data indicates that a large number of drivers stop briefly at a location not known to be near a POI, that location may be a scenic location (e.g., a location where drivers frequently leave their vehicles to take photos). Additionally, safe parking locations near each scenic point may be identified based at least in part upon historical vehicle damage data, and navigation directions to safe parking locations may be provided.

Abstract: A system and method are provided for controlling an interior configuration of a vehicle following a collision. Sensor data that includes, or is derived from data that includes, data collected by one or more sensors is received, and a vehicle accident condition indicative of an accident having occurred is detected by processing the sensor data. After detecting the vehicle accident condition, an actuator component is caused to prevent a passenger from adjusting an interior vehicle component outside a predetermined range of physical configurations, while allowing the passenger to adjust the interior vehicle component within the predetermined range of physical configurations.

Abstract: Systems and methods for tracking and evaluating fuel consumptions of vehicles are provided. The method can involve operating a telematics device installed in the vehicle to: collect fuel data from at least one fuel data source of the vehicle; track, for each fuel data source, a cumulative amount of fuel consumed by the vehicle; determine a confidence level of each fuel data source; identify an initial fuel data source; generate a plurality of mid-trip fuel records; identify a final fuel data source based on a priority of each fuel data source and each confidence level of each fuel data source; determine whether the plurality of mid-trip fuel records is valid; and transmit the plurality of mid-trip fuel records and an indication of whether the plurality of mid-trip fuel records is valid to a fleet management system.

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: 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: 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: 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: 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: 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.