Abstract: System, methods, and other embodiments described herein relate to addressing inconsistencies between a trajectory plan and a communication from an occupant of an autonomously operated vehicle. A method of resolving inconsistent communication includes obtaining a trajectory plan for the vehicle, detecting, using one or more internal sensors, body language of the occupant, analyzing sensor data from the one or more internal sensors to determine a verbal or non-verbal communication indication by the occupant, and detecting an inconsistency between the verbal or non-verbal communication indication and the trajectory plan and: 1) modifying the trajectory plan to form a modified trajectory plan aligned with the verbal or non-verbal communication indication, or 2) transmitting a notification to the occupant prompting the occupant to adjust the verbal or non-verbal communication indication.

Abstract: Systems and techniques to facilitate intelligent unmanned aerial vehicle traffic management via an infrastructure network are presented. In an example, a traffic management system can include a data collection component, a flight path component, and a communication component. The data collection component receives navigation data and parameter data associated with an unmanned aerial vehicle. The navigation data is associated with a starting point and destination for the unmanned aerial vehicle. The parameter data is indicative of information associated with the unmanned aerial vehicle. The flight path component generates flight path data for the unmanned aerial vehicle based on the navigation data, the parameter data and infrastructure network data received from an intelligent sensor node network. The communication component transmits the flight path data to the unmanned aerial vehicle.

Abstract: In one embodiment, a method for generating a reference line for operating an autonomous driving vehicle includes determining a first ending reference point having a smallest curvature among a plurality of points within a first defined distance along a path, generating a first reference line based on a first initial reference point and the first ending reference point, determining a second ending reference point having a smallest curvature among a plurality of points within a second defined distance along the path, generating a second reference line based on the first and second ending reference points and an end section of the first reference line, connecting the first and second reference lines, and controlling the autonomous driving vehicle along the connected first reference line and the second reference line.

Abstract: A controlling device and a drone controlling method are provided. The method includes: detecting a first program block that is towed in a human machine interface; bonding the first program block to a bonding position corresponding to at least one target program block in the human machine interface to obtain a first program block sequence composed of a plurality of second program blocks; and transmitting a plurality of control commands respectively corresponding to the plurality of second program blocks or controlling a virtual drone to execute the plurality of control commands according to a sequence order of the plurality of second program blocks in the first program block sequence.

Abstract: A parking robot system for a transportation vehicle having wheels and a method for operating a parking robot system. The parking robot system includes a main robot and secondary robots and a method for operating a parking robot system. The secondary robots each have a pair of wheel support arms and each move up autonomously, with the wheel support arms folded in, from outside next to one of the wheels of the transportation vehicle. The secondary robots each lift up the respective wheel by folding out the respective pair of wheel support arms. The main robot accompanies the secondary robot with the lifted up transportation vehicle during travel to a prescribed target position.

Abstract: The present disclosure provides an autonomous driving method and an apparatus. The method includes: receiving a currently collected image transmitted by a unmanned vehicle, where the currently collected image is an image collected in a target scenario; acquiring current driving data according to the currently collected image and a pre-trained autonomous driving model, where the autonomous driving model is used to indicate a relationship between an image and driving data in at least two scenarios, and the at least two scenarios include the target scenario; and sending the current driving data to the unmanned vehicle. Robustness of the unmanned driving method is improved.

Abstract: Techniques are described for estimating surface friction coefficients using lateral force excitations of one or more rear wheels of a rear wheel steering vehicle. In one example, a computing system is configured to cause excitation of a rear wheel using a lateral force that causes the rear wheel to initiate turning. The computing system may determine one or more slip angles that result from the excitation and determine a relationship between the lateral force and the slip angles. From the lateral force and slip angle relationship, the computing system may estimate the friction coefficient of a surface and may cause maneuvering of the rear wheel steering vehicle, or of another networked vehicle, to be based at least in part on the friction coefficient estimated for a particular driving surface.

Abstract: A mobile body, a control device, a surrounding object detector, and a monitoring device capable of controlling a safety system of a mobile body having an omnidirectional movement mechanism with a simple configuration are provided. A mobile body according to an embodiment includes drive wheels, a rotational velocity detector, an object detector, a controller, and a changer. The drive wheels are three or more drive wheels that allows the mobile body to move in all directions, and the respective drive wheels are driven independently. The rotational velocity detector detects respective rotational velocities of the drive wheels. The object detector detects an object around the mobile body. The controller decelerates or stops the mobile body when an object is detected in a monitoring area by the object detector. The changer changes a range of the monitoring area on the basis of the respective rotational velocities of the drive wheels detected by the rotational velocity detector.

Abstract: A control apparatus that communicates with a plurality of on-vehicle control devices through in-vehicle communication lines, and includes an acquisition unit configured to acquire electric energy of a battery supplying electric power to the plurality of on-vehicle control devices, and a control unit configured to instruct, in a case where predicted electric energy of the battery at a time when a process by a target device that is one of the plurality of on-vehicle control devices is completed is lower than a first threshold, other on-vehicle control devices to stop respective processes by the other on-vehicle control devices executed in parallel with the process by the target device.

Abstract: A system for a vehicle, having a driver monitoring device with a sensor device and with a first camera, an environment detection device with sensors for surroundings acquisition, a control unit and a classifier. Using the environment detection device and the classifier, traffic scenarios A and B may be classified. Using the driver monitoring device, it is possible to determine whether a direction of view of the driver is directed towards a traffic situation and whether the driver has their hands on a steering wheel of the vehicle. Using the control unit, it is possible, on the basis of information from the driver monitoring device and the environment detection device, to determine whether the driver is capable of resolving the traffic scenario classified as A or B within a response time.

Abstract: An autonomous driving support apparatus (100) is mounted on an autonomous vehicle (10) to perform autonomous driving using dynamic map data. A dynamic map storage unit (141) stores the dynamic map data. A use condition storage unit (142) stores use condition information in which a use condition of the dynamic map data is set. A determination unit (120) determines whether or not the autonomous driving by the autonomous vehicle (10) is possible, based on the dynamic map data stored in the dynamic map storage unit (141) and the use condition information stored in the use condition storage unit (142).

Abstract: The present invention relates to an electronic device for controlling an unmanned aerial vehicle and a control method therefor. The electronic device for controlling an unmanned aerial vehicle according to the present invention comprises: a first sensor for sensing a first direction; a second sensor for sensing a second direction opposite to the first direction; and a processor electrically connected to the first sensor and the second sensor, wherein the processor may be configured to: determine whether the unmanned aerial vehicle is located in a first environment on the basis of at least one sensing data obtained by the first sensor; control sensing operations of the first sensor and the second sensor according to the determination result; and control motion of the unmanned aerial vehicle on the basis of at least one sensing data obtained by the first sensor and the second sensor.

Abstract: A vehicle control system includes: a first vehicle including a smell detection unit, a smell determination unit configured to determine whether an intensity of the smell is equal to or larger than a predetermined threshold value, a first acquisition unit configured to acquire first vehicle position information indicating a position of the first vehicle, and a notification unit configured to notify a second vehicle about the first vehicle position information when the smell determination unit determines that the intensity of the smell is equal to or larger than the predetermined threshold value; and a second vehicle configured to communicate with the first vehicle and including an information output processing unit configured to cause an information output unit to output a warning notifying about a presence of the first vehicle when an approach determination unit determines that first vehicle is positioned less than the predetermined distance from the second vehicle.

Abstract: A method and a device for operating an automated vehicle are provided. The method includes a step of receiving a first position of the automated vehicle, a step of receiving environment data values, the environment data values representing an environment of the automated vehicle, a step of detecting at least one further vehicle in the environment of the automated vehicle, and a step of generating a digital environment model, starting from a digital map, based on the environment data values and as a function of the first position of the automated vehicle. The environment model comprises the automated vehicle, the at least one further vehicle, and at least one simulated object in the environment of the automated vehicle. The method also includes a step of operating the automated vehicle as a function of the digital environment model.

Abstract: A drone maneuvering system includes a drone and a maneuvering signal transmitter set. The maneuvering signal transmitter set includes a first transmitter that controls at least forward, reverse, left, and right movement of the drone, and a second transmitter that controls vertical movement and rotational movement of the drone. The first transmitter includes a first auxiliary tool and transmits to the drone a maneuvering signal including tilt information of the first auxiliary tool that accompanies the actions of a pilot, in which the forward, reverse, left, and right movements of the drone are imaged. The second transmitter includes a second auxiliary tool and transmits to the drone a maneuvering signal including rotation information of the second auxiliary tool that accompanies the actions of the pilot, in which the vertical movements and rotational movements of the drone are imaged. The drone operates in accordance with the received maneuvering signals.

Abstract: A method for estimating a friction coefficient of a roadway by a transportation vehicle, wherein a control device of the transportation vehicle receives a first estimated value of a maximum horizontal force from a traction control system that is transmitted to the roadway by a wheel of the transportation vehicle. A control device receives a second estimated value of a wheel contact-patch force of the wheel from a damper controller and calculates the friction coefficient as a vehicle-independent friction coefficient based on the estimated values from the wheel contact-patch force and the horizontal force.

Abstract: A driving control system in which a server apparatus controls an operation of a vehicle via a telecommunication network. The server apparatus includes a controller configured to determine whether a condition for raising a degree of accuracy in detecting a wild animal in an area around the vehicle is satisfied, and to raise the degree of accuracy in detecting the wild animal by controlling a detection device included in the vehicle at a timing when the condition is satisfied.

Abstract: A parking support device of the present invention, which is configured to move a vehicle in a longitudinal direction and stop the vehicle in a specified space by using a communication terminal to send a control signal to the vehicle, comprises a step detection part which is configured to detect presence/absence of a step in a moving direction of the vehicle, a moving stop part which is configured to stop moving of the vehicle in a case where presence of the step is detected by the step detection part, and a moving restart part which is configured to restart the moving of the vehicle so as to ride over the step in a case where the control signal from the communication terminal is received after the moving of the vehicle is stopped by the moving stop part.

Abstract: Systems, devices, and methods for receiving image data; transferring the captured image data to a server having a processor and addressable memory via a network-connected computing device; storing the captured image data on the server; generating captured image metadata based on the stored captured image data; providing access to the captured image data and captured image metadata via an image management component; displaying, by the image management component, the captured image data; and filtering, by the image management component, the captured image data based on the generated captured image metadata.

Abstract: Provided are an Unmanned Aerial Vehicle (UAV) operating method and device. The method includes that: mapping information of an operation object to be operated is acquired, the mapping information including a safe height, geographic position information and a spray radius, of the operation object; a flight height of the UAV is adjusted to the safe height, and the UAV flies, according to the safe height, to a position corresponding to the geographic position information; and at the position corresponding to the geographic position information, a spiral spraying operation is performed on the operation object based on the spray radius (103).