Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to assign each of a plurality of targets to a classification based on respective motions of the targets at an initiation of a turn by a host vehicle, determine a distance threshold for each target associated with the classification, and perform a threat assessment on each of the plurality of targets having a respective distance from the host vehicle that is below a distance threshold and a respective time to collision below a time threshold.

Abstract: An approach is provided for operating a vehicle using vulnerable road user data. The approach, for example, involves determining a road link on which the vehicle is traveling or expects to travel. The approach also involves querying a geographic database for a vulnerable road user attribute of the road link. The approach further involves providing a notification to activate or deactivate an autonomous driving mode of the vehicle, a vehicle sensor of the vehicle, or a combination thereof while the vehicle travels on the road link based on determining that the vulnerable road user attribute meets a threshold criterion.

Abstract: An information processing apparatus installed in a vehicle includes a driving control section and a preparation control section. The driving control section executes automated driving of the vehicle. The preparation control section executes, when the automated driving is being executed by the driving control section, preparation control which is control that stops at least a part of the automated driving and makes the driver perform a preparation switching to driving by the driver of the vehicle.

Abstract: In one embodiment, a method, apparatus, and system may predict behavior of environmental objects using machine learning at an autonomous driving vehicle (ADV). One or more yield/overtake decisions are made with respect to one or more objects in the ADV's surrounding environment using a data processing architecture comprising at least a first, a second, and a third neural networks, the first, the second, and the third neural networks having been trained with a training data set. Driving signals are generated based at least in part on the yield/overtake decisions to control operations of the ADV.

Abstract: Described herein are systems, methods, storage media, and computer programs that support communication in a movable object environment. In one embodiment, information for a set of communication parameters is provided, a modified value for at least one of the set of communication parameters is obtained from an affiliated device; and a connection established between the movable object and the affiliated device is configured based on the modified value. In another embodiment, a connection between a movable object and an affiliated device is established, wherein the connection uses a set of communication parameters, values of which are set to default values; a modified value for at least one of the set is obtained, based on values for the set of communication parameters provided by the movable object and values for the set of communication parameters provided by the affiliated device, and the connection is configured based on the modified value.

Abstract: A system for data-driven, modular decision making and trajectory generation includes a computing system. A method for data-driven, modular decision making and trajectory generation includes: receiving a set of inputs; selecting a learning module such as a deep decision network and/or a deep trajectory network from a set of learning modules; producing an output based on the learning module; repeating any or all of the above processes; and/or any other suitable processes. Additionally or alternatively, the method can include training any or all of the learning modules; validating one or more outputs; and/or any other suitable processes and/or combination of processes.

Abstract: A vehicle speed control device 1 includes a lane detection unit 120 configured to detect a road outside line of a lane on which a host vehicle V is traveling, a target detection unit 121 configured to detect a target that is present outside the road outside line, and a speed control unit 123 configured to control a speed of the host vehicle V such that the host vehicle V passes a lateral side of the target at a speed lower than a speed of the host vehicle V when the target has been detected. After the host vehicle V has passed the lateral side of the target, the speed control unit 123 accelerates the host vehicle V up to the speed when the target has been detected.

Abstract: A method of targeting, which involves capturing a first video of a scene about a potential targeting coordinate by a first video sensor on a first aircraft; transmitting the first video and associated potential targeting coordinate by the first aircraft; receiving the first video on a first display in communication with a processor, the processor also receiving the potential targeting coordinate; selecting the potential targeting coordinate to be an actual targeting coordinate for a second aircraft in response to viewing the first video on the first display; and guiding a second aircraft toward the actual targeting coordinate; where positive identification of a target corresponding to the actual targeting coordinate is maintained from selection of the actual targeting coordinate.

Abstract: A vehicle movement predicting device includes an inter-vehicle communication part that obtains vehicle information from communicable vehicles around an own vehicle, a vehicle position measuring part that measures a position of a preceding vehicle of the own vehicle, a communicable vehicle selecting part that decides a past position closest to the position of the preceding vehicle on the basis of the vehicle information, calculates a closest distance between the past position and the position of the preceding vehicle and a direction difference between the preceding vehicle and the communicable vehicle, and thereby selects one from among the communicable vehicles each of which the closest distance and the direction difference are respectively predetermined values or less, as a front vehicle of the preceding vehicle, and a vehicle movement predicting part that predicts a future movement of the preceding vehicle on the basis of the position of the selected communicable vehicle.

Abstract: A mobile terminal can include a display unit; a wireless communication unit configured to wireless communicate with a drone; a sensing unit; and a controller configured to sense a first touch signal of touching at least one partial area of map content displayed by the display unit, the first touch signal including a drag touch signal of moving along a first path with a first pressure and a first speed, in which the controller is further configured to set a moving path of the drone including a departure point of the drone and an arrival point of the drone based on the first path of the drag touch signal, set a moving speed of the drone based on the first speed of the drag touch signal, set a moving altitude of the drone based on the first pressure of the drag touch signal, and control the wireless communication unit to transmit a control signal based on at least one of the set moving path, the set moving speed or the set moving altitude of the drone.

Abstract: An airbag firing control system may include an inertial measurement unit (IMU) including a low gravity (G) sensor configured to detect a longitudinal acceleration (ax), a filter configured to convert a first signal detection range of the low G sensor into a second signal detection range and to filter converted output of the low G sensor to generate a first output signal, and an adjuster configured to perform zero-point adjustment on the first output signal transmitted through the filter, and a microcomputer configured to use the first output signal for firing safing when the first output signal satisfies a safing condition as a performing result of the adjuster.

Abstract: An embodiment of a semiconductor package apparatus may include technology to acquire location related information, acquire local area characteristic information, and verify the location related information based on the local area characteristic information. Other embodiments are disclosed and claimed.

Abstract: A vehicle system comprises a hitch ball mounted on a vehicle and a controller configured to identify a coupler position of a trailer. The controller is further configured to control motion of the vehicle aligning the hitch ball with the coupler position and monitor a height of the coupler relative to the hitch ball. In response to the coupler height being less than a height of the hitch ball, the controller is configured to stop the motion of the vehicle.

Abstract: A system for aiding landing includes a module for computing by extrapolation a trajectory of the aircraft on the basis of its current position, a module for determining whether the extrapolated trajectory cuts the ground ahead of a threshold of the landing runway, a module for measuring a current height of the aircraft above an overflown terrain, a module for determining whether the current height corresponds to a risk height, an alert module for generating an alert only if the two determinations carried out by the two determination modules are positive, and if the aircraft is situated at a distance with respect to the threshold of the landing runway which is less than a predetermined threshold distance.

Abstract: An inverter ECU is applied to a hybrid vehicle having an engine and a motor generator as drive power source and a motor generator control system. A drive control part generates drive signals for an inverter based on torque request to the motor generator. A temperature information acquiring part acquires an element temperature value and a cooling water temperature value as an inverter temperature value. An abnormality detection part detects whether the inverter temperature value is within a diagnosable temperature range, and performs abnormality detection for the motor generator control system when the inverter temperature value is within the diagnosable temperature range. When the inverter temperature value is not placed within the diagnosable temperature range, the energy supplied to the inverter is adjusted to move the inverter temperature value into the diagnosis allowable temperature range to correctly perform the abnormality detection.

Abstract: In one aspect, a method is disclosed for adjusting a seed depth associated with depositing a seed within a furrow in a field during a planting operation of an agricultural implement. The method may include sensing, by a computing device, a seed depth parameter indicative of a seed depth of the seed relative to a ground surface of the field; comparing, by the computing device, the seed depth parameter to a target seed depth parameter, the target seed depth parameter describing a target seed depth; and initiating, by the computing device, a control action configured to adjust the seed depth parameter towards the target seed depth parameter.

Abstract: The invention relates to a device and a method for controlling a braking device of a rail vehicle, wherein a pressure characteristic curve of the braking device is changed by means of characteristic curve change device as a function of a frictional characteristic of a type of brake lining used in the braking device.

Abstract: A system may include a non-avionics computing device, a data network switch, and avionics computing devices. The non-avionics computing device may be configured to execute a situation awareness program. Each of the avionics computing devices may be communicatively coupled to the data network switch. The avionics computing devices may include a first avionics computing device communicatively coupled to the non-avionics computing device. The first avionics computing device may be configured to: receive avionics data from other of the avionics computing devices; filter the avionics data from the other of the avionics computing devices based on a predetermined relevance to the situation awareness program; and output the filtered avionics data to the non-avionics computing device.

Abstract: A vehicle control method is provide for automatically controlling an acceleration-deceleration rate control of a vehicle including starting and stopping. The vehicle control method performs the starting of the vehicle at a starting time with a first drive force which exceeds a starting friction force, which is a friction force acting on the vehicle at the starting time. Then, the vehicle control method switches to a second drive force after performing the starting. The second drive force is greater than the first drive force. The second drive force is a drive force that is necessary to make a headway distance to a preceding vehicle equal to a pre-set headway distance when there is a preceding vehicle. The second drive force is a drive force that is necessary to accelerate to a pre-set vehicle speed when there is no the preceding vehicle.

Abstract: A method of estimating driver readiness in a vehicle for performing automated driving includes analyzing a bio-signal and a behavior of a driver through collected driver information, determining a bodily sensory usage state of the driver from the behavior of the driver, deriving chances of task candidates that are probable to occur from the driver during driving from the bodily sensory usage state of the driver to infer a task, determining an intention of the driver on the basis of the inferred chances of the task candidates, and calculating driver readiness using the intention of the driver.