Abstract: Aspects of the disclosure are related to a method, apparatus, and system for planning a motion for a first vehicle, comprising: estimating past states of an observed second vehicle based on sensor inputs; predicting a future trajectory of the second vehicle based on the estimated past states; planning a future trajectory of the first vehicle based on the predicted future trajectory of the second vehicle and a safety cost function; and driving the first vehicle to follow the planned trajectory.

Abstract: A suspension controller includes a target current setting unit configured to set a target current value, a current limitation setting unit configured to set a current limitation value, a current detector configured to detect a current value of a first current supplied to a solenoid that is configured to control a damping force of a suspension, a duty ratio setting unit configured to set a duty ratio based on the target current value, based on the current limitation value, and based on the current value detected by the current detector; and a current outputting unit configured to supply the solenoid with a second current that corresponds to the duty ratio set by the duty ratio setting unit and to a power supply voltage. The current limitation setting unit is configured to change the current limitation value based on the duty ratio set by the duty ratio setting unit.

Abstract: A vehicle seat includes a seat bottom and a seat back coupled to the seat bottom to extend upwardly away from the seat bottom and move relative to the seat bottom. The vehicle seat is coupled to a vehicle floor for movement relative to the vehicle floor between a use arrangement and a storage arrangement.

Abstract: An unmanned vehicle interface device includes a wireless transceiver configured with a radiation pattern that covers a particular spatial region, and a controller coupled to the wireless transceiver. The controller is programmed to detect an unmanned vehicle within the particular spatial region using the wireless transceiver, upon detecting the unmanned vehicle, communicate with the unmanned vehicle using the wireless transceiver to override existing controls of the unmanned vehicle, and after overriding the existing controls, forcibly control the unmanned vehicle.

Abstract: A controller for an adaptive cruise control system having a speed based mode includes an input for receiving a signal indicative of a detected target object, an input for receiving the speed of the host vehicle and control logic. The control logic is capable of transmitting messages to maintain the vehicle at a preset time gap from the target object upon receiving the signal indicative of a target object and transmitting messages to set the vehicle at a predetermined following distance from the target object in response to the speed of the host vehicle being less than or equal to a minimum speed.

Abstract: A monitoring system for a dual-stage, stroke activated, mixed fluid gas shock strut may comprise a controller, and a tangible, non-transitory memory configured to communicate with the controller. The tangible, non-transitory memory may have instructions stored thereon that, in response to execution by the controller, cause the controller to perform various operations. Said operations may include calculating, by the controller, a compression factor, determining, by the controller, a plurality of compression factors for known oil volumes based on at least one of the primary chamber temperature sensor reading and the shock strut stroke sensor reading, and calculating, by the controller, an oil volume in a primary chamber of the shock strut.

Abstract: Various embodiments include methods, and computing devices implementing the methods, for analyzing sensor information to identify an abnormal vehicle behavior. A computing device may monitor sensors (e.g., a closely-integrated vehicle sensor, a loosely-integrated vehicle sensor, a non-vehicle sensor, etc.) in the vehicle to collect the sensor information, analyze the collected sensor information to generate an analysis result, and use the generated analysis result to determine whether a behavior of the vehicle is abnormal. The computing device may also generate a communication message in response to determining that the behavior of the vehicle is abnormal, and send the generated communication message to an external entity.

Abstract: A system and approach for a vehicle system. The vehicle system may include a vehicle, a propulsion device (e.g., a combustion engine or electric motor), and a controller. The propulsion device may at least partially power the vehicle. The controller may be in communication with the propulsion device and may control the propulsion device according to a target speed of the vehicle. The controller may include a model of energy balances of the vehicle and may use the model to estimate energy losses over a travel horizon of the vehicle. The controller may optimize a cost function over the travel horizon of the vehicle based at least in part on the estimated energy losses to set an actual speed for the vehicle. The estimated energy losses may include one or more of aerodynamic drag, vehicle friction, and conversion efficiency from the propulsion device.

Abstract: A monitoring system for a dual-stage, separated gas/fluid shock strut may comprise a controller and a tangible, non-transitory memory configured to communicate with the controller. The tangible, non-transitory memory may have instructions stored thereon that, in response to execution by the controller, cause the controller to perform various operations. Said operations may include determining, by the controller, a shock strut stroke at which a secondary chamber of the shock strut is activated, calculating, by the controller, a volume of oil in an oil chamber of the shock strut, calculating, by the controller, a volume of gas in a primary chamber of the shock strut, and calculating, by the controller, a volume of oil leaked into the primary chamber of the shock strut.

Abstract: A monitoring system for a dual-stage, separated gas/fluid shock strut may comprise a controller and a tangible, non-transitory memory configured to communicate with the controller. The tangible, non-transitory memory may have instructions stored thereon that, in response to execution by the controller, cause the controller to perform various operations. Said operations may include calculating, by the controller, a secondary chamber nominal pressure, determining, by the controller, a shock strut stroke associated with the secondary chamber nominal pressure, calculating, by the controller, a volume of oil in an oil chamber of the shock strut, calculating, by the controller, a volume of gas in a primary chamber of the shock strut, calculating, by the controller, a secondary chamber inflation pressure, and calculating, by the controller, a volume of oil leaked into the primary chamber of the shock strut.

Abstract: Herein is disclosed methods and systems for automated route analysis and recommendation of preferred routes. Recommended routes may be vehicle specific, and custom-selected based on historical data and weighting factors such as road roughness and traversal time.

Abstract: Various embodiments of the present disclosure provide a ride height sensing system that includes an encoded electromagnetic source as an input unit for a Hall Effect sensors and the signal from the electromagnet is encoded to enable the rejection of ambient magnetic field. In various embodiments, the ride height sensing system includes a self-calibration system including at least one Hall effect sensor mounted at a fixed distance and orientation with respect to the electromagnetic source to provide for continuous calibration of the system. In one embodiment, the enhanced ride height sensing system includes at least two inertial measurement units, such as accelerometers mounted to each of the body frame of the vehicle and the axle frame of the vehicle. This enables the system to optimize power usage by more accurately and efficiently measuring the ride height at high frequency rates with relatively lower power consumption.

Abstract: A computer that includes memory that stores instructions executable by a processor. The computer may be programmed to: receive image data that includes a vehicle seat and an occupant within a vehicle cabin; determine, using the received data, an orientation of the seat and an orientation of the occupant; and perform a vehicle function based on the determination.

Abstract: Respective movements and positions of traffic participants arranged within a monitoring range surrounding a motor vehicle are captured on the front side, on the rear side, and/or laterally, by several sensors of the motor vehicle. One characteristic value per traffic participant is established which quantifies a collision probability of the motor vehicle with the respective traffic participants in dependency on the captured movements and positions of the traffic participants and the movement and position of the motor vehicle. At least one warning message is issued with respect to the traffic participants, for which the established characteristic values reach a predetermined collision probability value, wherein the warning message is signaled in which direction of the motor vehicle the respective collisions are impending.

Abstract: Systems, methods and apparatus are provided for handling operational constraints for unmanned vehicles. The system includes: a plurality of mobile unmanned vehicles for deployment in an environment; a computing device connected to the plurality of unmanned vehicles via a network, the computing device storing, in a memory, a plurality of operational constraints; each operational constraint including (i) a type identifier, (ii) an indication of a region of the environment, and (iii) a property defining a constraint on the operation of the unmanned vehicles within the region. The computing device is configured to: receive a request from one of the mobile unmanned vehicles, the request identifying an operational constraint; responsive to receiving the request, retrieve an operational constraint from the memory based on the request; and send the retrieved operational constraint to the one of the mobile unmanned vehicles.

Abstract: A safety function module for a vehicle is provided. The safety function module comprises a status determination unit which is configured to determine at least a position of the vehicle. Thereby, the safety function module is configured to be reversibly coupled with a signal interface of the vehicle and is further configured to execute a comparison of the determined position of the vehicle with a predeterminable position range and to transmit an activation signal for a safe state of the vehicle to the signal interface if the position of the vehicle departs from the predeterminable position range. As the safety function module is functionally separated from the remaining components of the vehicle, the extent of possible interdependencies of the safety functions with other components of the vehicle may be reduced or eliminated.

Abstract: Interior vehicle sensors and a recognition routine identify the presence of a companion animal within a vehicle, a controller operates at least one actuator to interpose a barrier between vehicle areas automatically adjust the barrier according to the animal's detected attributes to restrict the movement of the companion animal within the vehicle's interior.

Abstract: A method includes capturing a first image of a first vehicle mirror deployed to a first position by a second vehicle. The second vehicle captures a second image of the mirror deployed to a second position and analyzes the first and second images to determine an operational status of the mirror.

Abstract: An aerial vehicle having a vision based navigation system for capturing an arresting cable situated at a landing site may comprise a fuselage having a propulsion system; an arresting device coupled to the fuselage, the arresting device to capture the arresting cable at the landing site; a camera situated on the aerial vehicle; an infrared illuminator situated on the aerial vehicle to illuminate the landing site, wherein the arresting cable has two infrared reflectors situated thereon; and an onboard vision processor. The onboard vision processor may (i) generate a plurality of coordinates representing features of the landing site using an image thresholding technique, (ii) eliminate one or more coordinates as outlier coordinates using linear correlation, and (iii) identify two of the plurality of coordinates as the two infrared reflectors using a Kalman filter.

Abstract: A method includes deploying a vehicle mirror to a first position and receiving first image data representing the mirror from a second vehicle. The mirror is deployed to a second position and second image data representing the mirror is received. The first and second image data are analyzed to determine an operational status of the mirror.