Abstract: Disclosed are a preprocessing method and device for distance transformation. The method includes: acquiring a first grid map; calculating a second parameter of a vehicle model; calculating a precision of a second grid map according to the second parameter of the vehicle model and a precision of the first grid map; calculating the numbers of rows and columns of the second grid map according to information on the first grid map, the precision of the second grid map and the second parameter of the vehicle model; determining for each cell of the second grid map a state value according to the numbers of obstacle cells within said each cell; and determining in the first grid map at least one cell requiring no processing, according to the state value. Therefore, during the distance transformation, the processing speed for determining the distance value of each cell is increased.

Abstract: A method of detecting a collision in a moving object includes: detecting, by the moving object, an object and an event; determining a situation as at least one of an emergency situation, a manageable situation, or a general situation in response to the detected object and the detected event; determining whether or not it is possible to transmit a warning message for the detected event to the detected object upon determining that situation is the manageable situation; and transmitting collision possibility information to the detected object based on a warning alarm system upon determining that it is impossible to transmit the warning message for the detected event to the detected object.

Abstract: Among other things, we describe systems and method for improving vehicle operations using movable sensors. A vehicle can be configured with one or more sensors having the capability to be extended and/or rotated. The one or more movable sensors can be caused to move based on a determined context of the vehicle, to capture additional data associated with the environment in which the vehicle is operating.

Abstract: An example system includes a positioning surveillance system (PSS) to identify locations of objects that are movable throughout a space. The PSS is configured to identify the locations without requiring a line-of-sight between the objects. A control system is configured to determine distances based on the locations of the objects in the space and to communicate information to the objects that is based on the distances. The information is usable by the objects for collision avoidance.

Abstract: An augmented reality (AR)-based route guidance method includes acquiring a driving image captured by an image capturing device of a vehicle which is running, acquiring route data to a destination of the vehicle, recognizing both side lane markings of a lane in which the vehicle is running from the acquired driving image, generating first route guidance linear data based on the recognized both side lane markings for a region in which both side lane markings are recognized in the driving image, generating second route guidance linear data using link linear data of the route data for a region in which both side lane markings are not recognized in the driving image, combining the first route guidance linear data and the second route guidance linear data to generate combined route guidance linear data, and displaying a route guidance object in AR using the generated combined route guidance linear data.

Abstract: A map generation apparatus including an electronic control unit including a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform acquiring a map data of a first map for a current lane on which a subject vehicle travels, and generating a second map for an opposite lane opposite to the current lane by inverting the first map, based on the map data acquired.

Abstract: Systems and methods for controlling a searchlight mounted to an aerial vehicle. The systems and methods receive angular data representing a directional angle of a beam of the searchlight and location data representing a global location of the aerial vehicle from a sensor system of the aerial vehicle. The systems and methods determine coverage of the beam of the searchlight on ground based on the angular data and the location data. Based on the coverage of the beam, the aerial vehicle is controlled to change the global location, the display is controlled to depict the coverage of the beam on a map including historical coverage of the beam, and/or the searchlight actuator is controlled to adjust the direction of the beam.

Abstract: A method and apparatus for updating a point cloud. The method may include: determining an area point cloud matching newly added point clouds from historical point clouds to be updated based on a set formed by a pose of a point cloud acquisition device acquiring the newly added point clouds. The method may further include: merging the newly added point clouds into the matched area point cloud to obtain merged historical point clouds. The method may further include: performing global optimization on the merged historical point clouds based on a pose of each point cloud in the merged historical point clouds to obtain updated point clouds.

Abstract: The on-board apparatus 50 calculates an automated driving route of the vehicle 55 from the parking space of the vehicle 55 to the destination and an estimated time required to reach the destination in the case in which the vehicle 55 drives by automated driving by following the automated driving route. The server apparatus 30 calculates a walking travel route in the case of traveling by walk from the position of the terminal apparatus 10 to the parking space of the vehicle 55 and an estimated time required to reach the parking space of the vehicle 55 in the case of walking by following the walking travel route. The terminal apparatus 10 displays at the display unit 140 the automated driving route, the estimated time required for the automated driving route, the walking travel route, and the estimated time required for the walking travel route; and when a selection of the automated driving route is accepted, the terminal apparatus 10 starts the drive of the autonomous vehicle.

Abstract: A delivery system includes a cooking station, a meal serving station, a drone, a meal conveying device configured to convey a meal from the cooking station to the meal serving station, and a controlling portion. A character of a theme park is displayed on the drone. The controlling portion causes the drone to fly from the cooking station to the meal serving station and causes the meal conveying device to convey the meal from the cooking station to the meal serving station such that, just after the drone has arrived at the meal serving station, the meal conveyed by the meal conveying device is served to a visitor from the meal serving station.

Abstract: A travel service system makes it possible for a driver to pick up a passenger quickly and accurately. The system obtains map information including real-scene picture information, determines a geographic coordinate, obtains a real-scene picture of the geographic coordinate, and analyzes the real-scene picture to identify a salient object in the real-scene picture. A preferable target position is determined on the basis of the identified salient object. The identified salient object and the preferable target position on the real-scene picture are marked. The real-scene picture with the marked salient object and the preferable marked target position are sent to a receiving terminal.

Abstract: The present disclosure discloses a method, apparatus, medium, and device for vehicle automatic navigation control.

Abstract: A method may include receiving a request for a first set of data to be gathered by an unmanned aircraft system. A first unmanned aircraft system may be identified that is capable of gathering the first data. A request may be transmitted to the first unmanned aircraft system to gather the first set of data. The first set of data gathered by the first unmanned aircraft system may be received.

Abstract: A method of controlling driving of a first automated guided vehicle and a second automated guided vehicle includes: determining a first task exchange condition based on a current position of the second automated guided vehicle, a current position of the first automated guided vehicle, a first task position, and a second task position; determining a second task exchange condition based on a first estimation time taken for the first automated guided vehicle to complete a first task and a second estimation time taken for the second automated guided vehicle to move to the first task position; and when the first task exchange condition and the second task exchange condition are satisfied, exchanging the first task with the second task.

Abstract: A system for updating linear traffic feature data is provided. The system, for example, determines, from sensor data, the linear traffic feature data associated with a matched link. Further, the system, for example, generates heading data based on the linear traffic feature data and updates the linear traffic feature data based on the generated heading data. The heading data is generated by dropping a perpendicular to at least one of the matched link and a second link connected to the matched link.

Abstract: Embodiments of the disclosure disclose a method for a vehicle avoiding an obstacle, an electronic device, and a computer storage medium, and relates to a field of unmanned driving technologies. The detailed implementation includes: obtaining size information of a vehicle; obtaining a safe distance in a traveling direction of the vehicle; determining an obstacle screening area of the vehicle at least based on the size information and the safe distance; and determining an obstacle avoiding path of the vehicle in response to determining that the obstacle is located in the obstacle screening area. With the technical solution of the disclosure, higher efficiency obstacle avoiding can be realized.

Abstract: Performance anomalies in autonomous vehicle can be difficult to identify, and the impact of such anomalies on systems within the autonomous vehicle may be difficult to understand. In examples, systems of the autonomous vehicle are modeled as nodes in a probabilistic graphical network. Probabilities of data generated at each of the nodes is determined. The probabilities are used to determine capabilities associated with higher level functions of the autonomous vehicle.

Abstract: The disclosed computer-implemented method may include receiving, by a computing device, directional information for a waypoint along a route of travel of a personal mobility vehicle, determining, by the computing device and based on the directional information, a bearing of the waypoint from a current location of the personal mobility vehicle, and displaying, by a display device included in the personal mobility vehicle and configured to display navigational information within an illumination pattern, an indication of the bearing within the illumination pattern for navigating the personal mobility vehicle along the route of travel to the waypoint. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Systems and methods for multi-modal trips. Systems and methods are provided for integrating multiple legs of a trip using different modes of transportation into a single, personalized transportation experience. In particular, systems and methods are provided for integrating multiple modes of transportation, such as an electric scooter ride and an autonomous vehicle ride, into a single trip.

Abstract: A route recording with real-time annotation and re-display system includes a first automobile vehicle having one or more camera systems. An imaging display device defining a head-up display (HUD) is positioned within the first automobile vehicle and receives camera imaging data from the one or more camera systems. The HUD includes a video display screen presenting the camera imaging data either in real-time or re-displayed from a pre-recorded image file. A microphone array receives vehicle operator voice data of a first operator of the first automobile vehicle. An annotated-recorded-route is created by adding a user input of the first operator of the first automobile vehicle including the voice data. The annotated-recorded-route identifies specific coordinates or locations along a travel route driven by the automobile vehicle through the voice data after activating recording of the camera imaging data.