Abstract: An apparatus for updating map information for a vehicle includes a vehicle information detecting device that detects information of a surrounding vehicle which accompanies a vehicle, when the vehicle travels through an intersection, a line analyzing device that analyzes line information based on information of the surrounding vehicle which accompanies the vehicle, a reliability determining device that determines reliability of the line information, and a controller that extracts a change point on a map based on the reliability and update map information based on the change point.

Abstract: A traffic management system for controlling an AGV includes a sensor arranged proximate to an intersection between first and second passages in a logistics facility. The sensor transmits sensing beams into the second passage to detect presence of a vehicle in the second passage. The sensor transmits sensor signals based on the presence of the vehicle in the second passage. The traffic management system includes a traffic controller receiving the sensor signals and communicating with the AGV causing the AGV to stop at a stopping location in the first passage and restrict movement of the AGV into the second passage when the object is detected.

Abstract: This disclosure relates in general to systems and methods for tracking objects proximate an autonomous vehicle. In particular, an object tracking system capable of re-identifying objects it has temporarily lost line of sight to is described. Re-identification of the objects allows earlier object detections to be used more effectively to predict motion likely to be taken by the objects.

Abstract: Control methods and systems including a smart vehicle, a smart mobile device including a processor, a memory communicatively coupled to the processor, and machine readable instructions stored in the memory that may cause a system to perform at least the following when executed by the processor: use a software application tool of the smart mobile device to automatically control and monitor functionality of an internet of things (IOT) environment of the smart vehicle and to identify the smart vehicle type; autopopulate the software application tool with dynamic checklists based on the smart vehicle details; and utilize and/or modify the dynamic checklists during vehicle preparation, travel, and/or servicing based on dynamic IOT control features.

Abstract: A robot for moving in an administrator mode, can include a positioning sensor configured to sense a transmitter for calculating a position of the transmitter; an obstacle sensor configured to sense an obstacle around the robot; a driver configured to move the robot; and a controller configured to in response to receiving a signal from the transmitter, align the robot toward the position of a transmitter, move the robot toward the transmitter while avoiding one or more obstacles sensed by the obstacle sensor, and in response to no longer receiving the signal from the transmitter or a distance between the transmitter and the robot being equal to or less than a preset distance, stop the robot.

Abstract: The invention relates to a method for calculating an AR overlay of additional information for display on an AR display unit, in particular a head-up display of a vehicle or smart glasses. The AR overlay is used to display a navigation route on the AR display unit. The navigation route is recalculated from time to time by a navigation system. The method is characterized in that the AR overlay is calculated in such a way that the recalculated route is displayed at least at a certain first distance before a branch-off point, and the driver is given an operating option of switching back and forth between the overview of the recalculated route and the previously calculated route.

Abstract: Augmented reality displays for locating vehicles are disclosed herein. An example method includes determining a current location of a mobile device associated with a user, determining a current location of a vehicle, and generating augmented reality view data that includes a first arrow that identifies a path of travel for the ridehail user towards the vehicle. The path of travel is based on the current location of the mobile device and the current location of the vehicle. The first arrow is combined with a view obtained by a camera of the mobile device or a view obtained by a camera of the vehicle.

Abstract: The present application discloses a verification method and device for a modeling route, an unmanned vehicle, and a storage medium, which relate to the technical field of computer vision and intelligent transportation. A specific implementation of the method in the present application lies in: acquiring a filtering threshold of a target road section, where the filtering threshold is related to image feature points corresponding to the target road section; verifying a modeling route corresponding to the target road section through the filtering threshold to obtain a verification result. According to the present application, availability of the modeling route can be directly verified with the filtering threshold while there is no need to verify the modeling route through manual driving of the vehicle, thereby effectively increasing the verification efficiency, protecting the vehicle from travelling along an unavailable modeling route and improving the driving experience.

Abstract: Embodiments of the present invention relate to the field of automobile diagnosis technologies, and disclose a remote automobile diagnostic method and apparatus, a mobile terminal, an electronic device and a server. A controlled end of remote automobile diagnosis may automatically generate protocol data and send the protocol data to a controlling end; or the controlling end of the remote automobile diagnosis may parse the protocol data, generate an interface associated with a user interface of the controlled end, then receive an interface operation instruction, and generate action data according to the interface operation instruction and send the action data to the controlled end. In this way, a local diagnosis function is added to the controlling end, so that a remote diagnosis function is implemented accordingly, which has favorable scalability.

Abstract: A charging facility guidance system is equipped with an electric vehicle and a server device. The electric vehicle is equipped with a first processor transmitting information on a current position and a remaining battery level of the electric vehicle to the server device. The server device is equipped with a second processor calculating a possible cruising distance of the electric vehicle based on the remaining battery level thereof, setting a charging facility search range indicating a range of search for charging facilities for the electric vehicle along a route from a place of departure of the electric vehicle to a destination of the electric vehicle, searching for charging facilities included in the charging facility search range, based on the possible cruising distance, selecting the charging facility located as close as possible to the destination, and transmitting information on the selected charging facility to the electric vehicle.

Abstract: An information processing device includes: a first storage unit configured to store a local map data set created or updated at a first time; a map information acquisition unit configured to acquire at least a part of a distribution map data set from a map data distribution system via a wireless communication network; a second storage unit configured to associate and store (i) data that is acquired by the map information acquisition unit, from among data constituting a first distribution map data set created or updated at a second time, and (ii) information indicating a first acquisition time when the data is acquired, or information indicating the second time; and a second determination unit configured to determine whether the map data distribution system has stored a second distribution map data set created or updated at a third time.

Abstract: A system includes a plurality of sensors arranged in a vehicle to monitor an item in a storage area of a vehicle. The system comprises a data processing module configured to process data from the sensors, determine whether the item in the storage area of the vehicle is likely to move within the storage area or is likely to fall from the vehicle during travel, and generate a first indication that the item is likely to move within the storage area or is likely to fall from the vehicle during travel. The data processing module is configured to determine whether the item has moved within the storage area or has fallen from the vehicle during travel and generate a second indication that the item has moved within the storage area or has fallen from the vehicle during travel.

Abstract: Systems and methods for updating navigational maps based using at least one sensor are provided. In one aspect, a control system for an autonomous vehicle, includes a processor and a computer-readable memory configured to cause the processor to: receive output from at least one sensor located on the autonomous vehicle indicative of a driving environment of the autonomous vehicle, retrieve a navigational map used for driving the autonomous vehicle, and detect one or more inconsistencies between the output of the at least one sensor and the navigational map. The computer-readable memory is further configured to cause the processor to: in response to detecting the one or more inconsistencies, trigger mapping of the driving environment based on the output of the at least one sensor, update the navigational map based on the mapped driving environment, and drive the autonomous vehicle using the updated navigational map.

Abstract: Systems, device, and methods for trajectory association and tracking are provided. A method can include obtaining input data indicative of a respective trajectory for each of one or more first objects for a first time step and input data indicative of a respective trajectory for each of one or more second objects for a second time step subsequent to the first time step. The method can include generating, using a machine-learned model, a temporally-consistent trajectory for at least one of the one or more first objects or the one or more second objects based at least in part on the input data and determining a third predicted trajectory for the at least one of the one or more first objects or the one or more second objects for at least the second time step based at least in part on the temporally-consistent trajectory.

Abstract: A vehicle includes: an input configured to receive a destination; a display; a driver assistance system configured to control a behavior of the vehicle based on surrounding environment information; and a controller configured to control the display to display a driving route. The controller may be configured to determine, when a distance between a branch point on the driving route and the vehicle reaches a first distance, a possibility that the vehicle deviates from the driving route based on GPS information, vehicle speed information, and the surrounding environment information, and search for, when the possibility is greater than or equal to a preset threshold, a deviation route for reaching the destination based on the deviated direction and control the display to display the deviation route until the distance between the branch point on the driving route and the vehicle reaches a second distance.

Abstract: A system configured to autonomously operate a vehicle within an environment is disclosed herein. The system includes a vehicle including a sensing system with a single active sensor configured to detect objects within an environment as the vehicle travels on a journey along a travel path within the environment. The system further includes a computing system communicably coupled to the vehicle. The computing system includes a memory configured to store a three-dimensional map of the environment, and a processor configured to determine an updated pose of the vehicle based on the three-dimensional map and input from the single active sensor of the vehicle. The processor is further configured to generate an updated travel path for the vehicle, wherein the updated travel path is generated based on the updated pose of the vehicle within the environment determined by the computing system.

Abstract: A path providing device configured to provide a path information to a vehicle includes: a communication unit configured to receive, from a server, 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 processor, and an event data recorder (EDR) configured to store vehicle status information including first sensor data sensed by a first sensor associated with an operation of the vehicle, and second sensor data sensed by a second sensor associated with surrounding information of the vehicle. The processor is configured to determine an optimal path for guiding the vehicle from an identified lane, generate autonomous driving visibility information, update the optimal path based on dynamic information and the autonomous driving visibility information, and include the vehicle status information stored in the EDR in the autonomous driving visibility information.

Abstract: A learning device includes a planner configured to generate information indicating an action of a vehicle, and a reward deriver configured to derive a plurality of individual rewards obtained by evaluating each of a plurality of pieces of information to be evaluated, which include feedback information obtained from a simulator or an actual environment by inputting information based on the information indicating the action of the vehicle to the simulator or the actual environment, and derive a reward for the action of the vehicle on the basis of the plurality of individual rewards. The planner performs reinforcement learning that optimizes the reward derived by the reward deriver.

Abstract: An output apparatus arranged on a traveling route of a user is allowed to timely output information desired by the user. The information processing apparatus according to the present disclosure is an information processing apparatus to be used by a mobile user, the information processing apparatus comprising a controller which executes acquisition of a content designated by the user; specification of an output apparatus arranged on a traveling route of the user; and transmission of the acquired content to the specified output apparatus.

Abstract: A traveling control system of an autonomous vehicle includes a 2D LIDAR sensor, a wheel speed sensor for detecting a speed of the vehicle, a yaw rate sensor for detecting a rotational angular speed of the vehicle, and an error corrector for determining a straight-line situation using a LIDAR point detected by the 2D LIDAR sensor, extracting a straight lateral distance value according to the result of determination, accumulating the LIDAR point according to the trajectory of traveling of the vehicle detected by the wheel speed sensor and the yaw rate sensor, estimating an error between the accumulated point and the extracted straight line, and calculating and feeding back an offset correction parameter of the yaw rate sensor when the estimated error value is greater than a predetermined threshold value to automatically correct an error parameter of the yaw rate sensor.