Abstract: A method for operating a hybrid vehicle includes, determining a shift element to be utilized for decoupling of slip and a decoupling differential speed depending on whether a starting process is carried out, depending on whether the transmission is transferred from a torque-transmitting state into a non-torque-transmitting state or from a non-torque-transmitting state into a torque-transmitting state, depending on whether a gear ratio change is carried out, and depending on whether the hybrid vehicle includes a hydrodynamic starting component.

Abstract: A map information managing device to be mounted on a vehicle includes a processor configured to set an area represented in map information including information used for autonomous driving control, depending on the level of autonomous driving control applied to the vehicle and the position of the vehicle, and request a map server to deliver the map information of the set area, via a communication terminal mounted on the vehicle.

Abstract: Systems and methods related to operating a mobile platform using mesh networks are disclosed. In one embodiment, a control station may have a user interface that displays nodes participating in a mesh network. The control station may provide the positions of the nodes using position information broadcasted from the nodes and received by the control station. A user may select a node in the user interface and enter a command to have a mobile platform interact with the node. The control station may send the command to the mobile platform and cause the mobile platform to establish a wireless connection to the node, subscribe to position information corresponding to the node and received from the node by the wireless connection, and operate the mobile platform in response to the position information of the selected node, such as by following the node, image tracking the node, or landing near the node.

Abstract: A delivery device to deliver a product from an aerial location includes a body defining a payload holding region. The delivery device may further include a coupling mechanism configured to couple the body to a primary vehicle. The delivery device may further include a control feature configured to change a flight characteristic of the body. A method for delivering a product may include positioning a first unmanned aerial vehicle within a threshold distance of a delivery location. The method may further include releasing a second unmanned vehicle from the first unmanned aerial vehicle once the first unmanned aerial vehicle is within the threshold distance. The method may further include causing the second unmanned vehicle to reach the delivery location. The method may further include activating a delivery mechanism to release the product from the second unmanned vehicle to deliver the product to the delivery location.

Abstract: A fleet management system is disclosed. The system may include a transceiver configured to receive vehicle information from each vehicle of a vehicle fleet and environmental condition information associated with each vehicle. The fleet management system may further include a processor configured to obtain the vehicle information and the environmental condition information, and predict a future vehicle efficiency and a future vehicle health of each vehicle. Based on the prediction, the processor may calculate first resources required to operate the vehicle fleet according to a current fleet allocation. The processor may determine an updated fleet allocation for the vehicle fleet, and calculate second resources required to operate the vehicle fleet according to the updated fleet allocation. The processor may transmit an instruction to at least vehicle of the vehicle fleet to re-locate based on the updated fleet allocation when the second resources may be less than the first resources.

Abstract: A system for testing a radio transmitter includes multiple unmanned aerial vehicles (UAVs). The multiple UAVs are deployed in the environment surrounding the radio transmitter, enabling simultaneous measurement of the signal emitted by the radio transmitter at multiple points in a variety of configurations. In some implementations, one of the UAVs can be configured as a control unit that facilitates communication between the radio transmitter and the remaining UAVs. In this manner, measurements can be transmitted from the UAVs to the transmitter in real-time. These measurements can then be used as feedback to quickly adjust the radio transmission or reception or to update the flight pattern of the UAVs.

Abstract: The travel control system S causes the UAV 2 to fly away from the UGV 1 on the travel route at a predetermined timing in order to sense the sensing region from the sky. And then, the travel control system S controls travel of the UGV 1 on the basis of sensing data obtained by sensing the sensing region by the UAV 2 having flown away from the UGV 1.

Abstract: A three dimensional grid map is generated to locate a cross member on a receiving vehicle which is coupled to a following vehicle. The location of the cross member is tracked during an unloading operation so the leading vehicle avoids the cross member when unloading material into the receiving vehicle, and so the fill level is more accurately identified.

Abstract: Systems and methods are disclosed herein for training machine learning models using precision data based on movement and timing of data collection. The system trains the machine learning model to predict object locations in an environment. The training data includes location data, timing data, and motion data, collection of which is triggered by a user input indicating that a particular object was located. The system generates precision parameters for the locations by assigning initial values to entries within the training data and may lower precision parameters based on the timing data indicating that an object was located faster than a threshold time or based on the motion data indicating that a rate of motion exceeded a threshold rate when a corresponding object was located. The system may update the training data with the lowered precision parameters and train the machine learning model to predict the object locations within the environment.

Abstract: An apparatus that includes a controller of an unmanned aerial vehicle (UAV), a cover, and antennas integrated into the cover and electrically connect to circuitry of the controller. The controller includes control elements configured to receive inputs. The cover is coupled to the controller and movable between a closed position, in which the control elements are covered, and an open position in which the control elements are exposed. The cover includes one or more ribs integrated into an interior surface of the cover and defining cavities of the cover. The cover also includes a conductive plane coupled to the one or more ribs that encloses the cavities.

Abstract: Disclosed is a method for controlling a display viewing environment of occupants in a vehicle with occupant seats forming multiple rows. The method includes, in response to a result of a viewing state determination being that a first occupant of a first seat in a first row of the vehicle, and a second occupant of a second seat in a second row of the vehicle, are in a state of viewing a front display together, performing reclining or vertical level reduction of the first row seats in response to a determination that occupants of the first row seats and the second row seats are in the state of viewing the front display together, and determining whether view of the front display is secured at an eye level of the occupants of the second row seats.

Abstract: A vehicular display control device includes a memory; and a processor coupled to the memory, the processor being configured to: acquire a function allocation status of a multifunction switch capable of being allocated any press-implemented function, in order to display an image of a switch array including the multifunction switch on a display device, and display a first symbol in a display region corresponding to the multifunction switch in the switch array image in a case in which the multifunction switch has not been allocated a press-implemented function.

Abstract: A vehicle that includes a docking station positioned within the interior of the vehicle, and a drone that is configured to mate with the docking station. The vehicle includes an electronic control unit (ECU) that is located within the interior of the vehicle and is configured to communicate instructions to a docking station controller to instruct the drone to disengage from the docking station and perform flight operations. Additionally, the vehicle ECU is configured to communicate instructions to the docking station controller to instruct the drone to cease flight operations and return to and mate with the docking station.

Abstract: Systems and methods are disclosed for determining that an adverse driving event is likely to occur and utilizing accident calculus algorithms to determine and cause vehicle driving actions necessary to mitigate consequences of the adverse driving event. After determining that an adverse driving event is likely to occur, a computing device my forecast consequences of the driving event. The computing device may determine potential evasive maneuvers that may be taken responsive to the adverse driving event. Additionally, the computing device may determine consequences associated with the potential evasive maneuvers and assign a weight relative to the consequence. The computing device may compare the potential driving maneuvers based on the weighted consequences to determine a driving maneuver to take.

Abstract: A system for a vehicle includes a human-machine interface, a microphone that detects sound, a sound source device that emits sound, and a controller that prompts pairing of the sound source device and the microphone, such that the sound source device emits sound corresponding to the sound detected by the microphone. The controller prompts pairing of the sound source device and the microphone in response to at least one of (i) the vehicle entering a reverse mode, and (ii) receiving a user input entered into the human-machine interface via selection of an input option by a user, wherein the input option is made accessible for selection by the user in response to the vehicle entering the reverse mode.

Abstract: A platooning control apparatus for preventing a vehicle from rollover and a method thereof are provided. A communication device provided in a vehicle which is platooning transmits and receives platooning information and information about a risk of rollover of the vehicle due to crosswind with at least one of other vehicles in a string of the vehicle or an external server. A processor performs formation control for preventing at least one of the vehicle or the other vehicles in the string from rollover. An autonomous vehicle in which a driver does not ride is prevented from rollover to ensure stability of autonomous driving.

Abstract: Embodiments of this application disclose a vehicle-based data processing method performed by a computer device. The method includes: determining at least two predicted offsets of a first vehicle, a first traveling state of the first vehicle, and a second traveling state of a second vehicle; determining, according to the first traveling state and the second traveling state, first lane change payoffs of the predicted offsets when the second vehicle is in a yielding prediction state, and determining second lane change payoffs when the second vehicle is in a non-yielding prediction state; and determining a predicted yielding probability of the second vehicle, generating target lane change payoffs of the predicted offsets according to the predicted yielding probability and the first lane change payoffs and the second lane change payoffs of the predicted offsets, and determining a predicted offset having a maximum target lane change payoff as a target predicted offset.

Abstract: A method includes: repeatedly performing following steps according to a preset scheduling period: receiving travelling information acquired by a target vehicle; searching, according to a global path of the target vehicle, a topological map for a target directed edge matching the travelling information; determining a right-of-way node sequence of the target vehicle according to the target directed edge and a coverage range of the target vehicle, where the right-of-way node sequence includes multiple right-of-way nodes, and the right-of-way nodes are nodes on the topological map; and determining right-of-way nodes matching the global path in the right-of-way node sequence as target right-of-way nodes in a case that each of the right-of-way nodes in the right-of-way node sequence is in a vacant, and sending the target right-of-way nodes to the target vehicle.

Abstract: A method for controlling a plurality of drones to survey a location, the method comprising, at a computing system: automatically generating preliminary flight plans for a plurality of drones to survey the location based on a 3D model; receiving survey data from the plurality of drones as the plurality of drones are surveying the location based on the preliminary flight plans; updating the 3D model based on the survey data received from the plurality of drones; and automatically updating at least a portion of the flight plans based on the updated 3D model

Abstract: Disclosed are a device for controlling a hybrid vehicle and a method thereof. The device includes a communication device that receives a plurality of data sets including a driving pattern and a control coefficient, and a controller that extracts speeds from the driving pattern, learns a control coefficient prediction model by using an average and a standard deviation of the speeds, and determines a control coefficient of the hybrid vehicle based on the control coefficient prediction model for which the learning is completed.