Abstract: In some examples, a system may receive location information. The system may determine at least one landmark based on the location information. In addition, the system may determine one or more current conditions for the at least one landmark. Further, the system may receive sensor configuration information. Based on the sensor configuration information and the one or more current conditions, the system may determine the detectability of the at least one landmark.

Abstract: A method of collision warning using broad antenna pattern ultra-wide band (UWB) radar includes emitting a first radar ping from a broad beam UWB antenna and receiving a first return signal identifying an object. A first hemisphere with a first radius is determined for the object. A second ping, second return and second hemisphere is defined for the object. At the intersection of the hemispheres, an object ring is defined. The radius of the object ring is compared with the radius of a collision cylinder (e.g., representing a safe distance around a system or device, such as a drone). The object may be identified as posing a collision threat when the radius of the object ring is smaller than the radius of the collision cylinder.

Abstract: The present disclosure relates to a computer-readable storage medium, and a fault detection method and apparatus. The method includes: obtaining first data of tire pressure sensors of a vehicle in a stopping state and a running state; and performing fault detection according to the first data of the tire pressure sensors in the stopping state and/or the running state, and outputting a fault detection result. According to the solutions provided in the present disclosure, a fault type and a fault source can be quickly and accurately positioned, so that maintenance personnel perform fault maintenance quickly and safely, thereby reducing the costs of maintenance and detection, and effectively improving the efficiency and accuracy of fault detection.

Abstract: An operation method of a navigation apparatus includes: obtaining valid global positioning system (GPS) data at a current time point corresponding to a current position of a target device; determining first neighboring map elements corresponding to a first region indicated by the valid GPS data at the current time point from among a plurality of map elements of map data; and determining a pose parameter of the target device at the current time point based on a first direction specified by at least a portion of the first neighboring map elements.

Abstract: Described herein are embodiments of a method and system that uses a vertical or upward facing imaging sensor to compute vehicle attitude, orientation, or heading and combines the computed vehicle attitude, orientation, or heading with range bearing measurements from an imaging sensor, LiDAR, sonar, etc., to features in the vicinity of the vehicle to compute accurate position and map estimates.

Abstract: A method for updating a high definition map according to one embodiment comprises: obtaining a two-dimensional image that captures a target area corresponding to at least a part of an area expressed by a three-dimensional high definition map, generating a three-dimensional local landmark map of the target area from a position of a landmark in the two-dimensional image, based on a position and an orientation of a photographing device which has captured the two-dimensional image and updating the high definition map with reference to the local landmark map corresponding to the target area of the three-dimensional high definition map.

Abstract: Provided is a map generation unit that generates an attribute-attached occupancy grid map including an existence probability of an obstacle in a space around a moving body for each grid, and an attribute of the obstacle labelled in the occupancy grid map. A position estimation unit that estimates a position of the moving body by matching in a shape of a non-moving body and the attribute between the attribute-attached occupancy grid map and a pre-map that is the attribute-attached occupancy grid map prepared beforehand.

Abstract: A system for a vehicle includes an input device configured to send an activation signal responsive to an input to start the vehicle. The system further includes a vehicle body controller, programmed to, responsive to the input and a lack of presence of a phone operating as a key, send an activation signal to activate a power source within a cabin of the vehicle for up to a predefined time period since a last vehicle start.

Abstract: A submersible remotely operable vehicle used for inspection of liquid cooled electrical transformers can include a number of separate cameras and sensors for mapping and navigating the internal structure of the transformer with liquid coolant remaining in the transformer. The remotely operable vehicle can be wirelessly controlled to perform various inspection functions while the number of cameras provide video streams for processing to produce a three dimensional field of view based on an observation position of the remotely operable vehicle.

Abstract: There is provided a travel reference line determination system and an automatic driving system capable of determining a travel reference line of a vehicle appropriately even under conditions where information representing the track environment of the vehicle is hard to get. An ECU of an automatic driving system calculates a model y coordinate value ymw_i using a map in FIG. 4 (Step 12), calculates an estimated y coordinate value y_i using track environment data D_info (Step 11), calculates curvature C so that an error between the model y coordinate value ymw_i and the estimated y coordinate value y_i may be minimized (Step 18), calculates a travel trajectory Xf using the curvature C (Step 4), and executes automatic driving control using the travel trajectory Xf (Steps 31 to 33).

Abstract: Embodiments of this application describe a motor vehicle self-driving method and a terminal device. The method may include obtaining, by a terminal device, vehicle external-environment data of a position of a motor vehicle and initial positioning precision of the motor vehicle. The method may also include determining, by the terminal device, a target driving parameter of the motor vehicle based on the vehicle external-environment data and the initial positioning precision. Furthermore, the method may include controlling, by the terminal device, the motor vehicle to drive based on the target driving parameter. In the embodiments of this application, the terminal device determines the target driving parameter of the motor vehicle based on the vehicle external-environment data and the initial positioning precision. In this way, the target driving parameter varies with the vehicle external-environment data, and further matches an external environment, thereby improving self-driving safety of the motor vehicle.

Abstract: A main server for controlling laser irradiation of a movement path of a robot, the main server including a communication unit configured to communicate with a camera module and a laser irradiation module; and a controller configured to: receive, via the communication unit, an image of a robot captured by the camera module, identify a location of the robot in the image captured by the camera module, generate a movement path of the robot based on sensing information, and transmit, via the communication unit, movement path information to the laser irradiation module for outputting the movement path to a vicinity of the robot with a laser for the robot to follow, in which the sensing information includes first information about an obstacle sensed by the camera module or second information about the obstacle sensed by the laser irradiation module.

Abstract: Data are collected on a turbidity of a fuel tank at each of a plurality of fueling stations. A fueling station is selected based on the collected data. A vehicle is moved to the selected fueling station.

Abstract: A system, method, and computer-readable storage medium are disclosed that execute machine vision operations to categorize a locality. At least one embodiment accesses a map image of a locality, where the map image includes geographical artefacts corresponding to entities within the locality; analyzes the map image to detect the entities in the locality using the geographical artefacts; assigns entity classes to detected entities in the locality; assigns a locality score to the locality based on entity classes included in the locality; retrieves street view images for one or more of the detected entities in the locality; and analyzes street view images of the detected entities to assign one or more further classifications to the detected entities. Other embodiments include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the method.

Abstract: Various technologies described herein pertain to controlling an autonomous vehicle to provide indicators to distinguish the autonomous vehicle from other autonomous vehicles in a fleet. The autonomous vehicle includes a vehicle propulsion system, a braking system, a notification system, and a computing system. The notification system outputs an indicator that is perceivable external to the autonomous vehicle. The computing system receives data specifying an identity of a passenger to be picked up by the autonomous vehicle. Moreover, the computing system controls at least one of the vehicle propulsion system or the braking system to stop the autonomous vehicle for passenger pickup. Further, the computing system controls the notification system to output the indicator; a characteristic of the indicator outputted by the notification system is controlled based on the identity of the passenger to be picked up and whether the autonomous vehicle is stopped for passenger pickup.

Abstract: The present disclosure relates to a method for driving on the basis of characteristics of a driving surface, and a robot for implementing the same, and a method for driving on the basis of characteristics of a driving surface, according to one embodiment of the present disclosure, comprises the steps in which: a sensing module of the robot senses an adjacent driving surface to generate characteristic information of the driving surface, and a control unit of the robot stores position and characteristic information of the driving surface in a map storage of the robot; the controller of the robot sets a function to be applied to the driving surface in response to the characteristic information of the driving surface, or generates a movement path selectively including the driving surface corresponding to start and end points of the robot; and the controller controls a moving unit and a functional unit of the robot according to the set function or the movement path.

Abstract: In order to address a conventional problem that it is not possible to provide a user with map expression data whose display mode has been changed according to additional information, an information processing apparatus includes: a map expression data storage unit in which one or more pieces of map expression data expressing a map are stored, the data being associated with one or more attribute values containing region specifying information for specifying a region that is being expressed; an additional information storage unit in which additional information, which is information that is additional, is stored in association with the map expression data; and a transmitting unit that transmits map expression data to a terminal apparatus such that even same map expression data is displayed on the terminal apparatus in a different mode according to the additional information.

Abstract: An apparatus for assisting driving of a vehicle includes a camera mounted to the vehicle for viewing an area in front of the vehicle, a radar sensor mounted to the vehicle to sense around the vehicle, and a controller connected to the camera and/or the radar sensor to detect obstacles and perform collision avoidance control. The controller is further configured to recognize a first obstacle approaching in a lateral direction from an outside of a driving lane of the vehicle, generate and store a collision avoidance path for avoiding collision with the first obstacle, recognize a third obstacle passing behind a second obstacle in the lateral direction after the recognition of the first obstacle is interrupted by the second obstacle, and perform collision avoidance control of the vehicle based on a similarity between the first obstacle and the third obstacle and based on the stored collision avoidance path.

Abstract: A device includes a control input generator and a neural network trainer. A flight simulator is configured to generate first state data responsive to a first control input from the control input generator and to provide the first state data to a first neural network to generate a candidate second control input. The control input generator is also configured to select, based on a random value, a second control input from between the candidate second control input and a randomized offset control input that is based on a random offset applied to the first control input. The flight simulator is configured to generate second state data responsive to the second control input from the control input generator. The neural network trainer is configured to update weights of the first neural network based, at least in part, on the first state data and the second state data.

Abstract: A method of map generation includes receiving data from a plurality of vehicles about environments within which the plurality of vehicles operate, and generating a three-dimensional map using the data from the plurality of vehicles. The data is collected by one or more sensors on-board the plurality of vehicles.