Abstract: An autonomous driving display system includes: an autonomous driving control device to carry out autonomous driving; an autonomous driving display device display state of which is recognizable from outside a vehicle; and an in-vehicle device to make the autonomous driving control device carry out autonomous driving of the vehicle upon receiving an autonomous driving instruction signal instructing autonomous driving, monitor start of the autonomous driving of the vehicle by the autonomous driving control device, and control a display state of the autonomous driving display device to be in a display state different from a display state before the autonomous driving is started when the autonomous driving of the vehicle is started by the autonomous driving control device.

Abstract: A functional module for an operational assistance system of a work apparatus or for a driving assistance system of a transportation vehicle for controlling a function of a piece of equipment of the work apparatus or of the transportation vehicle having a main function unit to produce and provide a function parameter set having at least one function parameter for control of the function of the piece of equipment and having a test and auxiliary function unit. The test and auxiliary function unit tests the function parameter set of the main function unit and takes a result of the test as a basis for outputting the function parameter set of the main function unit in a normal mode of operation to control the function of the piece of equipment.

Abstract: A system for remote control of locomotives over a single time division multiple access network is provided. The system includes a locomotive control unit configured to operatively control a locomotive. The locomotive control unit is suitable for transmitting and receiving information via the network. The system also includes at least two operator control units suitable for transmitting and receiving information via the network and a hump control unit suitable for transmitting and receiving information via the network. The network employs both spatial and frequency diversity for remote control. The locomotive control unit, the at least two operator control units, and the hump control unit will only transmit in a respective defined period of time.

Abstract: A device can obtain historical accident data identifying accidents within a geographic region. The device can classify geographic areas within the geographic region as being sparse accident-prone zones (APZs) or dense APZs by processing the historical accident data using a clustering technique and clustering parameters. The device can generate data identifying geographic boundaries of the sparse APZs and the dense APZs. The device can provide the data identifying the geographic boundaries to be stored using a data structure. The device can receive telematics data associated with a vehicle within the geographic region. The device can determine whether the vehicle is in or approaching a particular APZ based on whether a location of the vehicle is within the particular APZ or based on whether the vehicle is likely to enter the particular APZ. The device can provide an alert to the vehicle or a user device associated with the vehicle.

Abstract: A modular unmanned aerial system (UAS) can be configured to detect an anomalous UAS configuration or operating condition, and to notify the user or inhibit further operation of the UAS in response to such a detection. An indication of the actual rotational speed of the motor or of the flight power needed to hold the UAS in a hover state may be compared to a predicted value based upon the expected UAS configuration. A variance between the actual values and the predicted values may indicate that the UAS is in an unauthorized configuration, which may be due to an unauthorized payload. The UAS may be a modular system, and may take into account authorized and attached modules in predicting the thrust required to hold the UAS in a hover state.

Abstract: The modular wheelchair system includes an upper component, and an autonomous power base configured to detachably couple to the upper component. The autonomous power base includes one or more processors, one or more memory modules, and machine readable instructions stored in the one or more memory modules that, when executed by the one or more processors, cause the autonomous power base to: determine whether the upper component is separated from the autonomous power base; and navigate to a location in response to determination that the upper component is detached from the autonomous power base.

Abstract: Disclosed are methods, systems, and computer-readable mediums for providing last mile navigation. In an example, the system may determine that a vehicle has arrived at or near the destination. The system may store the destination in memory when determined that the vehicle has arrived at or near the destination. The system may monitor the location of the vehicle and determine the vehicle is parked at a parked location. Once determined that the vehicle is parked, the system may transmit last mile navigation information associated with the destination and the parked location to a mobile device.

Abstract: A mobile robot including a motion actuator; at least one detection sensor configured to detect field information in a movement field of the mobile robot; a guidance generation unit configured to generate a motion guidance policy to a target position from a current position, the motion guidance policy being updated by the guidance generation unit when the field information has been received from the at least one detection sensor; a safety sensitization unit configured to generate a safety sensitized policy which is the motion guidance policy with a reduced velocity magnitude relative to an angle between the motion guidance policy and the current motion of the mobile robot; and a motion actuation unit configured to determine an actuation signal for instructing the motion actuator to project the current motion of the mobile robot in conformity with the safety sensitized policy provided by the safety sensitization unit.

Abstract: An unmanned aerial vehicle includes a storage storing information regarding a plurality of regions and a control circuitry. The control circuitry is configured to select a first one of the plurality of regions that has a highest priority among the plurality of regions as a destination, and change the destination to a second one of the plurality regions that has a next highest priority among the plurality of regions in response to determining that a selected path to the destination is not suitable for flight.

Abstract: The present disclosure relates to a data generation method for generating and updating at least one room in at least one building in the surroundings of a vehicle, by at least one vehicle, in which an assessment of characteristic motion is corrected without GPS reception by means of subsequently available GPS data, and used for at least one topological map for at least one room of at least one building.

Abstract: Disclosed is a hybrid electric vehicle and method of controlling operation of engine of the vehicle. The hybrid electric vehicle switches its drive mode in consideration of air pollution and pedestrians around the vehicle. A method of controlling a drive mode of a hybrid electric vehicle includes recognizing at least one of a pedestrian and an air pollution level around the hybrid electric vehicle, determining whether each of the recognized pedestrian and the recognized air pollution level meets a corresponding prescribed exhaust gas reduction mode request condition, and determining an exhaust gas reduction mode drive according to a result of the determination.

Abstract: An approach to validate a route generated by machine logic may be provided. The approach may include a user inputting an origin and destination. The approach may include generating a route from the user input by machine logic. The approach may additionally include the user inputting one or more waypoints. The approach may determine if the waypoint(s) is located on the generated route. If it is determined the waypoints are not on the generated route, a second route may be generated, by machine logic, with the waypoint(s) on the route. The approach may further include presenting the route to a user for validation.

Abstract: System and techniques for drone obstacle avoidance using real-time wind estimation are described herein. A wind metric is measures at a first drone and communicated to a second drone. In response to receiving the wind metric, a flight plan of the second drone is modified based on the wind metric.

Abstract: A vehicle predicts acceleration or deceleration of another vehicle based on the state of a traffic light, and determines the risk of collision based on the predicted acceleration or deceleration of the another vehicle. The vehicle includes a communication device that receives traffic light state information from a road infrastructure, a radar that senses the speed of the another vehicle traveling in a direction intersecting with a traveling direction of the vehicle, and a controller that determines the probability of collision with the another vehicle by using the traffic light state information received by the communication device and the speed information of the another vehicle detected by the radar.

Abstract: An in-vehicle system for generating precise, lane-level road map data includes a GPS receiver operative to acquire positional information associated with a track along a road path. An inertial sensor provides time local measurement of acceleration and turn rate along the track, and a camera acquires image data of the road path along the track. A processor is operative to receive the local measurement from the inertial sensor and image data from the camera over time in conjunction with multiple tracks along the road path, and improve the accuracy of the GPS receiver through curve fitting. One or all of the GPS receiver, inertial sensor and camera are disposed in a smartphone. The road map data may be uploaded to a central data repository for post processing when the vehicle passes through a WiFi cloud to generate the precise road map data, which may include data collected from multiple drivers.

Abstract: A vehicle speed limiter system installed on a vehicle includes a detection unit to detect a speed limit value of a road while the vehicle is traveling; a setting unit to set the speed limit value; a limiter unit to limit the vehicle speed, based on the speed limit value; an obtainment unit to obtain a stepping amount on an accelerator pedal; a calculation unit to calculate a parameter depending on the stepping amount in a state where the vehicle speed is being limited by the limiter unit; and a display unit to display information based on the parameter, in a case where a speed limit value newly detected by the detection unit is greater than the speed limit value previously set by the setting unit, before the setting unit sets the speed limit value newly detected.

Abstract: A vehicle control device includes: an automatic driving control unit that executes a first driving mode in which at least one of acceleration/deceleration, and steering of a host vehicle is automatically controlled in order for the host vehicle to travel along a route up to a destination; and a specific situation transition control unit that encourages a vehicle occupant of the host vehicle to transition to a second driving mode in which the degree of automatic driving is lower in comparison to the first driving mode by decelerating the host vehicle in a case of terminating execution of the first driving mode at a scheduled termination point of the first driving mode.

Abstract: A telepresence drone that is configured to navigate through an environment includes a frame, a propulsion system comprising propellers and motors coupled to the frame, an electronic control unit in communication with the propulsion system, and a hull positioned outside of the frame and the propulsion system. The hull includes a plurality of openings through which the propulsion system acts on air to navigate through the environment.

Abstract: A method for coordinating multiplexed communication of data among multiple piloted assets and multiple requestors via a common software application includes receiving a mission request via the common software application, defining a common mission based on the mission request via the common software application, and coordinating the multiplexed communication using multiple communication channels. The coordinating includes exchanging data with multiple piloted aerial drone assets relaying a communication from one of the piloted assets to at least one other piloted asset, via the software application. When a new piloted asset joins the common mission, communication is facilitated via the software application between the further piloted asset and the multiple piloted assets. Upon detection that a piloted asset from the multiple piloted assets is no longer associated with the common mission, communication via the software application between that piloted asset and the remaining piloted assets is prevented.

Abstract: Disclosed are systems, methods, and media capable of generating emergency predictions. The systems, methods, and media generate spatiotemporal emergency communication predictions, carry out data augmentation, detect emergency anomalies, optimize emergency resource allocation, or any combination thereof.