Abstract: A three-dimensional grid model of a traffic scene can be determined based on grid elements. Weights can be determined for the grid elements of the three-dimensional grid model corresponding to priority regions and occluded grid elements. Grid coverage for respective stationary sensors can be determined based on the grid elements of the three-dimensional grid model. A matrix can be determined based on the grid coverage of the plurality of stationary sensors. An optimal subset of stationary sensors can be determined based on applying a greedy search algorithm to the matrix, the weights and costs corresponding to the plurality of stationary sensors to maximize the ratio of grid coverage to the cost based on poses of the plurality of stationary sensors.

Abstract: A method, a computer program product, and a computer system position a plurality of sensors in an area. The method includes receiving data from the sensors positioned at respective first locations where the data is indicative of weather and environmental parameters. The method includes determining weather conditions and an environmental condition based on the weather and environmental parameters. The method includes determining an impact to the environmental condition by the weather conditions. The method includes determining a second location for the sensors based on the impact to the environmental condition. The sensors are configured to generate further environmental parameters with an increased granular level at the second location. The method includes transmitting instructions to a delivery robot to move the sensors to the second location.

Abstract: Methods and devices for detecting traffic signals and their associated states are disclosed. In one embodiment, an example method includes a scanning a target area using one or more sensors of a vehicle to obtain target area information. The vehicle may be configured to operate in an autonomous mode, and the target area may be a type of area where traffic signals are typically located. The method may also include detecting a traffic signal in the target area information, determining a location of the traffic signal, and determining a state of the traffic signal. Also, a confidence in the traffic signal may be determined. For example, the location of the traffic signal may be compared to known locations of traffic signals. Based on the state of the traffic signal and the confidence in the traffic signal, the vehicle may be controlled in the autonomous mode.

Abstract: A control system includes an obtainer that obtains sensing data output from a sensor that performs sensing of an outside of a mobile body, a detector that detects a position of an object outside the mobile body based on the sensing data, a movement predictor that predicts a movement of the object based on the sensing data, a costmap generator that generates a first costmap based on the position detected of the object and a second costmap based on the movement predicted of the object, a path generator that generates a path for the mobile body based on the first costmap, a determination generator that generates a movement determination of the mobile body based on the second costmap and the path generated, and a controller that controls the movement of the mobile body in accordance with the path generated and the movement determination.

Abstract: Systems and methods provide for the evaluation of flight controls for an aerial vehicle and define a vehicle dynamics model corresponding to an aerial vehicle. One or more barrier functions are constructed based on the defined vehicle dynamics model, and candidate invariant sets are identified for the defined vehicle dynamics model using the one or more barrier functions. A plurality of flight controls of the aerial vehicle are analyzed using the identified candidate invariant sets and within the analyzed candidate invariant sets, command tracking of the aerial vehicle is confirmed with control commands, using the analyzed plurality of flight controls. Control commands falling outside of the analyzed candidate invariant sets are identified.

Abstract: This disclosure relates to systems and methods for controlling an unmanned aerial vehicle. Boundaries of a user-defined space may be obtained. The boundaries of the user-defined space may be fixed with respect to some reference frame. A user-defined operation associated with the user-selected space may be obtained. Position of the unmanned aerial vehicle may be tracked during an unmanned aerial flight. Responsive to the unmanned aerial vehicle entering the user-defined space, the unmanned aerial vehicle may be automatically controlled to perform the user-defined operation.

Abstract: A method for autonomous in-flight transfer of a load from a first Aerial Vehicle, AV, to a second AV is provided. Each of the first AV and the second AV includes a frame with a vertical opening for receiving the load. A plurality of rotors are attached to the frame. The method comprising autonomously performing the following in-flight: fastening means of the first AV hold the load in the vertical opening of the first AV such that a bottom end of the load is accessible by the second AV; the second AV approaches the first AV from below in order to couple a fastening means of the second AV to the bottom end of the load; the fastening means of the first AV releases the load after the fastening means of the second AV couples to the bottom end of the load; and the fastening means of the second AV lower the load with respect to the frame of the second AV in order to move the load into a flight position.

Abstract: A system generating an environment for an operation using a set of assets includes processor(s) configured to: obtain data associated with task(s) to be performed by a set of assets, wherein: 1) the set of assets comprises semi-autonomous drones and 2) the data associated with the task(s) comprises parameter(s) pertaining to a geographic location in which at least one asset is to perform the task(s); determine a discretized representation of the geographic location, wherein the discretized representation comprises discrete elements each corresponding to a volume associated with the geographic location; annotate the discretized representation to create an annotated representation with the parameter(s) pertaining to the geographic location with a subset of the discrete elements based on a determination that the parameter(s) pertain to the geographic location; determine a plan to perform the task(s), wherein the plan is based on the annotated representation; and cause the task(s) to be performed.

Abstract: A vehicle control device includes: an acquisition section configured to acquire a determination result as to whether a predetermined communication terminal is in a vehicle cabin interior area, and acquire another determination result as to whether or not the communication terminal is in a vehicle cabin exterior area; and a control section configured to, based on the determination results of the acquisition section, initiate a closing operation of a vehicle door in cases in which a determination is made that the communication terminal is in the vehicle cabin exterior area, and stop the closing operation in cases in which a determination is made that the communication terminal is in the vehicle cabin interior area after the closing operation was initiated.

Abstract: An apparatus for automated ground control of an electric vertical takeoff and landing aircraft includes a flight controller and a remote device. Remote device may transmit a location datum to a flight controller. Location datum may store a location of a charger, terminal, airport, or the like. Flight controller may authorize the location datum and direct aircraft using the information from the location datum.

Abstract: A brake system in a motor vehicle, the friction brake system of which, on the front and rear wheels, each case including vehicle wheel brakes which can be actuated via an electronic control device which includes an axle-specific braking force distributor unit by which a front axle target deceleration and a rear axle target deceleration can be determined from a friction brake system target deceleration, and which includes a wheel-specific braking force distributor unit by which front wheel target decelerations can be determined from the front axle target deceleration, and rear wheel target decelerations can be determined from the rear axle target deceleration, on the basis of which the wheel-specific braking force distributor unit generates control signals for the actuation of the vehicle wheel brakes.

Abstract: A connected-vehicle interface module is provided that includes a connected-vehicle controller, a connected-vehicle radio for receiving an activation signal from a first vehicle warning system controller indicating a road condition, and a connected-vehicle interface controller. The connected-vehicle interface controller further includes a microcontroller and a plurality of universal asynchronous receiver transmitters for receiving and transmitting data communicated to the microcontroller through one or more wired connections to at least one of the connected-vehicle controller and the connected-vehicle radio, a memory device in communication with the microcontroller, and a transceiver and one or more communication ports, coupled to the microcontroller, for connection and communication with a connected vehicle road side unit, wherein the activation signal from the first vehicle warning system controller is communicated to the connected vehicle road side unit via the one or more communication ports.

Abstract: A method executed by a control device includes: acquiring odor information indicating an odor intensity of each of a plurality of garbage collection sites, the odor intensity being detected by an odor sensor; determining an order in which garbage is collected from each of the garbage collection sites based on the odor information; and causing a garbage collection device to sequentially collect the garbage from each of the garbage collection sites according to the order.

Abstract: A navigation method and a navigation apparatus are provided. The method includes: generating a navigation route based on a navigation start-point position and a navigation end-point position; acquiring a navigation scenario of a terminal device in a process of performing a navigation based on the navigation route; acquiring, in response to determining that the navigation scenario is a preset target navigation scenario, special effect data of a virtual navigator matching the target navigation scenario; and presenting the special effect data of the virtual navigator through the terminal device.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining sensor data indicative of a surrounding environment of the autonomous vehicle, the surrounding environment including one or more occluded sensor zones. The method includes determining that a first occluded sensor zone of the occluded sensor zone(s) is occupied based at least in part on the sensor data. The method includes, in response to determining that the first occluded sensor zone is occupied, controlling the autonomous vehicle to travel clear of the first occluded sensor zone.

Abstract: The present invention provides a recognition device that is mounted on a moving object and recognizes a lighting situation of a traffic signal, the recognition device comprising: an imaging unit that periodically images an external environment of the moving object; at least one processor with a memory comprising instructions cause the at least one processor to at least: sequentially detect, for each image periodically obtained by the imaging unit, a lighting mode of the traffic signal included in the image; and determine, in a case where a same lighting mode of the traffic signal is continuously detected for a predetermined time, the lighting mode as a lighting situation of the traffic signal, wherein the predetermined time is twice or more as long as an imaging cycle of the imaging unit.

Abstract: Provided is an apparatus for assisting driving of a vehicle, the apparatus comprising: a front camera mounted on a vehicle and having a field of view in front of the vehicle, the front camera configured to acquire front image data; a dynamics sensor mounted on the vehicle and configured to acquire dynamics data that is a motion state of the vehicle; and a controller including a processor configured to process the front image data and the dynamics data, wherein the controller is configured to generate a front virtual lane on the basis of the field of view in front of the vehicle based on the front image data, and generate a rear virtual lane on the basis of the field of view in rear of the vehicle based on the front virtual lane and the dynamics data.

Abstract: A vehicle and a method of controlling the vehicle are provided. The method of controlling the vehicle includes detecting, by an excitation voltage computational measuring device, an excitation voltage applied to an excitation coil of a relay provided to regulate power supply of a battery; calculating, by a logical determination device, a temperature of the relay based on the excitation voltage; and calculating, by the logical determination device, a remaining life of the relay based on the calculated temperature of the relay.

Abstract: A vehicle speed control method, the method comprises: when a vehicle body is in a normal state, determining a first vehicle speed of the vehicle body based on road safety information; acquiring a driving segment of the vehicle body, and determining a pose variation amount of the vehicle body within the driving segment; determining a tangential acceleration of the vehicle body within the driving segment according to a correlation between the pose variation amount of the vehicle body and the tangential acceleration of the vehicle body; when the tangential acceleration of the vehicle body reaches a preset maximum tangential acceleration, determining a second vehicle speed of the vehicle body; and determining whether the second vehicle speed is smaller than the first vehicle speed, and if the second vehicle speed is smaller than the first vehicle speed, determining the second vehicle speed to be a target vehicle speed.

Abstract: A robotic system comprises two robots and a control unit. Each robot has a base and an arm extending from the base to an attachment for an instrument. Each arm comprises a plurality of joints whereby the configuration of the arm can be altered. Each robot comprises a driver for each joint configured to drive the joint to move, and position and torque sensors. The control unit controls the drivers in dependence on inputs from the sensors.