Abstract: An avoidance route calculation part calculates an avoidance route for avoiding a collision between an own vehicle and an obstacle through a collision avoidance assist control (an automatic brake control and an automatic steering control). A post-avoidance route calculation part calculates a post-avoidance route. A post-avoidance route collision determination part determinates whether a secondary obstacle is present on the post-avoidance route. When the secondary obstacle is determined to be present, the automatic steering control is prohibited from being performed.

Abstract: System for monitoring stability of autonomous robot, including a GNSS navigation receiver including antenna, analog front end, plurality of channels, inertial measurement unit (IMU) and a processor, all generating navigation and orientation data for the robot; based on the navigation and orientation data, calculating position and direction of movement for the robot; calculating spatial and orientation coordinates z1, z2 of the robot, relating to the position and direction of movement; continuing with programmed path for the robot for any spatial and orientation coordinates z1, z2 within an attraction domain, where a measure V(z) of distance from zero in z1, z2 plane are defined by Lurie-Postnikov functions and is less than 1; for spatial and orientation coordinates outside the attraction domain with V(z)>1, terminating the programmed path and generating notification.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently restricting transportation changes based on signals in a dynamic transportation matching system. For example, the disclosed systems can analyze signals associated with transportation of a requestor by a vehicle of a provider to determine whether a transportation-change request is indicated. In response to determining that a transportation-change request is indicated, the disclosed systems can prevent a transportation change to a destination, route, or waypoint and generate a restriction notification. The disclosed system can also provide the restriction notification to at least a provider client device in response to determining that it is safe to do so.

Abstract: Techniques disclosed provide for enhanced V2X communications by defining information Elements (IE) for V2X messaging between V2X entities. For a transmitting vehicle that sends a V2X message to a receiving vehicle, these IEs are indicative of a detected vehicle model type detected by the transmitting vehicle of a detected vehicle; a pitch rate of the transmitting vehicle, a detected vehicle, or a detected object; a roll rate of the transmitting vehicle, a detected vehicle, or a detected object; a yaw rate of a detected vehicle, or a detected object; a pitch rate confidence; a roll rate confidence; an indication of whether a rear brake light of a detected vehicle is on; or an indication of whether a turning signal of a detected vehicle is on; or any combination thereof. With this information, the receiving vehicle is able to make more intelligent maneuvers than otherwise available through traditional V2X messaging.

Abstract: A method includes obtaining a rule that is associated with a segment of a map, determining a state for use in evaluation of the rule, evaluating the rule using the state, identifying an action to be performed based on a result of evaluating the rule using the state, and utilizing the action to be performed as an input to an automated control system of a vehicle.

Abstract: Method and device for processing LIDAR sensor data are disclosed. The method includes (i) receiving from the LIDAR sensor a first dataset having a plurality of first data points representative of respective coordinates and associated with respective normal vectors, (ii) determining an uncertainty parameter for a given first data point based on a normal covariance of the normal vector of the given first data point where the normal covariance takes into account a measurement error of the LIDAR sensor when determining the respective coordinates of the given first data point, (iii) in response to the uncertainty parameter being above a pre-determined threshold, excluding the given first data point from the plurality of first data points, (iv) using the filtered plurality of first data points, instead of the plurality of first data points, for merging the first dataset of the LIDAR sensor with a second dataset of the LIDAR sensor.

Abstract: An example operation may include one or more of identifying one or more blockchain members of a vehicle platoon placement group, receiving a request to perform a task from the blockchain members, creating a scheduled task date associated with the task, notifying the blockchain members of the scheduled task date, receiving task progress updates corresponding to the blockchain members, and storing the task progress updates in a blockchain.

Abstract: A network apparatus determines a route from an origin traversable map element (TME) to a target TME based on map data of a network version of a digital map. The route includes a list of route TMEs to be traveled from the origin TME to the target TME. The network apparatus accesses map version agnostic information identifying each TME of the list of route TMEs from the network version of the digital map; generates a map version agnostic identifier for each route TME of the list of route TMEs based on the accessed information; evaluates coding functions based at least on the map version agnostic identifier for each route TME to generate a coded identifier for each route TME; generates an encoding data structure based on the coded identifiers for the route TMEs; and provides the encoding data structure.

Abstract: A vehicle includes a sensor device configured to collect data on regions around the vehicle, and an automatic parking controller configured to generate a folding signal or an unfolding signal for a side mirror based on the data collected by the sensor device and a state of the side mirror when performing automatic parking.

Abstract: Aspects of the disclosure provide for advanced trip planning for an autonomous vehicle service. For instance, an example method may include determining a potential pickup location for a user, determining a set of potential destination locations for a user, and determining a set of potential trips. For each potential trip a vehicle of a fleet of autonomous vehicles of the service may be assigned and trip information, including an estimated time of arrival for the assigned vehicle of the potential trip to reach the destination location of the potential trip, may be determined. The trip information for each potential trip may be provided for display to the user. Thereafter, confirmation information identifying one of the set of potential trips may be received, and the assigned vehicle for one first of the set of potential trips may be dispatched to pick up the user.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: determining a current transportation mode of a user with use of data of a user passenger vehicle associated to the user and data of a user auxiliary passenger vehicle associated to the user, wherein the user passenger vehicle is capable of carrying the user auxiliary vehicle, and wherein the user auxiliary vehicle is configured to be hand carried by the user; evaluating a current route of the user in dependence on the current transportation mode of the user as determined by the determining; and providing one or more output in dependence on the evaluating.

Abstract: Embodiments of the present application disclose a vehicle control method, an apparatus, a vehicle, an electronic device and a storage medium, which relate to automatic driving technology. The method includes: outputting a prompt message, where the prompt message is used for prompting an intention of lane changing of a host vehicle to a surrounding vehicle, and the surrounding vehicle is a vehicle having a potential influence on the lane changing of the host vehicle; determining first driving state prediction information of the surrounding vehicle, where the first driving state prediction information is related to a feedback on the prompt message; generating and executing a first driving strategy according to the first driving state prediction information, where the first driving strategy includes lane-changing driving or driving within the current lane.

Abstract: A water surface and underwater dual-purpose automatic positioning and tracking system and method, which belongs to the field of marine environment observation technologies. The positioning and tracking system includes: a rope winding and unwinding structure, arranged on a main hull structure; where the rope winding and unwinding structure includes a rope roller and a winding and unwinding rope wound around the rope roller; an auxiliary positioning remote control ship, located outside a main body of the main hull structure, where the auxiliary positioning remote control ship is in transmission and fixed connection with the winding and unwinding rope away from the rope roller; communication control units, arranged on the main hull structure and the auxiliary positioning remote control ship; and an automatic positioning tracker unit, arranged on the hull structure, where the automatic positioning tracker unit is in remote communication connection with the communication control units.

Abstract: A method of determining a navigation trajectory for an autonomous ground vehicle (AGV) is disclosed. The method may include receiving first Region of Interest (ROI) data associated with an upcoming trajectory path, and receiving predicted attributes associated with a future navigation trajectory for the upcoming trajectory path. The predicted attributes are derived based on map for the upcoming trajectory path. The method may further include modifying the predicted attributes based on environmental attributes extracted from first ROI data to generate modified attributes, and dynamically receiving a second ROI data associated with the upcoming trajectory path upon reaching the upcoming trajectory path. The method may further include predicting dynamic attributes associated with an imminent navigation trajectory for the upcoming trajectory path based on the second ROI data, and refining the modified attributes based on the one or more dynamic attributes to generate a final navigation trajectory.

Abstract: A control assembly for an aircraft system according to an example of the present disclosure includes a multi-core processor that has a plurality of cores coupled to a communications module and to an arbitration module. The communications module is operable to communicate information between the plurality of cores and one or more aircraft modules. The plurality of cores include first and second cores operable to concurrently execute a first discrete set of software instructions to generate respective instances of an output. The arbitration module is operable to communicate each and every one of the respective instances to control the one or more aircraft modules. A method of operating an aircraft system is also disclosed.

Abstract: An information processing device includes a first determination section and a first output section. First output data is obtained from a trained model, which has being trained beforehand, by input of first input data to the trained model. Second output data is obtained from the trained model by input of second input data to the trained model, in which second input data a perturbation of a specified perturbation amount is applied to the first input data. The first determination section makes a determination as to whether a change amount of the second output data relative to the first output data is not more than a pre-specified threshold. The first output section outputs information representing the first input data and a perturbation amount for which the change amount is determined by the first determination section to be not more than the threshold.

Abstract: A method for controlling a motor vehicle remotely. The method includes: receiving requirement signals, which represent at least one requirement that is in force for a restricted geographic region and must be followed by motor vehicles; receiving navigation signals, which represent a route to be traveled by the motor vehicle; based on the navigation signals, checking if the at least one requirement is being followed by the motor vehicle; the checking including a check as to whether the route to be traveled by the motor vehicle violates the at least one requirement; generating remote control signals for controlling a lateral and/or longitudinal guidance of the motor vehicle remotely, based on a result of the check as to whether the at least one requirement is being followed by the motor vehicle; outputting the generated remote control signals. A device, a computer program and a machine-readable storage medium, are also described.

Abstract: A control system for a motor vehicle, having a first control device for controlling a first function of the motor vehicle and a second control device for controlling a second function of the motor vehicle. The first and second control devices are each in a signal transmission connection with at least one sensor and/or at least one actuator. To ensure the proper execution of functions of a motor vehicle controlled by control devices even with a faulty control device with the least possible effort, it is provided that in dependence on the receipt of an error signal from the first control device or the second control device, the respective error-free control device is configured such that the function of the motor vehicle that corresponds to the faulty control device is controlled by the error-free control device.

Abstract: The present invention discloses a method and a system for navigating an Autonomous Ground Vehicle (AGV) using a radio signal and a vision sensor. The method comprising generating a trajectory plan for a short distance from a path plan, wherein the path plan is determined using destination location and AVG location, identifying an approximate AGV location using a radio signal-based trilateration mechanism, estimating AGV location error with respect to a road lane center by determining distance from the approximate AGV location to road boundary and road lane marking line and orientation difference between AGV orientation and road orientation, and correcting the trajectory plan by using the estimated AGV location error for navigating an AGV.

Abstract: A system for representing objects in a surrounding environment of a vehicle using a Frenet coordinate system. The system includes a memory and an electronic processor. The electronic processor is in communication with the memory and configured to, receive, from one or more sensors, input regarding one or more objects in the surrounding environment. The input includes, for each of the one or more objects, a representation of a location of the object in Cartesian coordinates. The electronic processor is further configured to convert the location of each object from Cartesian coordinates to Frenet coordinates and store the location of each object in Frenet coordinates in the memory.