Abstract: Embodiments describe an approach for coordinating the travel of multiple vehicles traveling to a target destination, the embodiments describe generating a travel group, receiving travel group parameters from travel group members, synced GPS applications, and a weather application, generating a course of travel for the travel group members to reach a destination, and tracking each travel group member according to locations identified by the synced GPS applications. Additionally, embodiments describe determining that a subgroup of the travel group is no longer traveling within a pre-determined range of other travel group members; calculating an optimized course of travel for the subgroup to reunite with the other travel group members, adjusting the course of travel to include the optimized course of action for the subgroup, and causing each GPS application to direct the subgroup to travel according to the optimized course of travel.

Abstract: In some examples, systems and methods are described for output biasing maneuvers recommendations provided by at least one machine learning maneuver-recommendation (MLM) engine executing on an aerial vehicle. In some examples, output biasing data can be received that includes at least one risk tuning parameter that can influence which of the maneuver recommendations are selected by a maneuver decision engine executing on the aerial vehicle based on a maneuver confidence threshold for implementation by the aerial vehicle. The maneuver confidence threshold can be updated based on the at least one risk tuning parameter to provide an updated maneuver confidence threshold for the output biasing of the maneuvers recommendation provided by the at least one MLM engine. Vehicle command data for implementing a given maneuver recommendation can be outputted based on an evaluation of the updated maneuver confidence threshold.

Abstract: A parking support apparatus is configured to automatically park a target vehicle in a target parking space, which is one parking space out of a plurality of parking spaces. The parking support apparatus is provided with: an acquirer configured to obtain parking information indicating a parking posture of a parked vehicle in one or a plurality of parking spaces around the target parking space, out of the plurality of parking spaces; and a determinator configured to determine a parking posture of the target parking vehicle with respect to the target parking space, on the basis of the obtained parking information.

Abstract: In a drive assistance device, a required space estimation unit estimates a required space which is a space required for a subject vehicle to complete a starting. A required time estimation unit calculates an estimated required time which is an estimate value of a time required to complete the starting at a time of starting the subject vehicle. A collision time estimation unit calculates an estimated collision time which is an estimate value of a time until when an obstacle reaches the required space. A start margin calculation unit calculates a start margin indicating a temporal margin for the subject vehicle to complete the starting until the obstacle reaches the required space based on the estimated required time and the estimated collision time. The notification processing unit notifies a driver of the subject vehicle of the start margin.

Abstract: A system may comprise one or more processors, and a memory storing instructions that, when executed by the one or more processors, causing the system to perform receiving, from a first sensor coupled to a front part of a vehicle, a first set of sensor data that include data of a first edge of a body part, or from a second sensor coupled to the front part of the vehicle, a second set of sensor data that include data of a second edge of the body part. The system may perform calculating, based on the first or second set of the sensor data, location of the first edge or the second edge of the body part relative to the front part, and determining whether the relative location of the first edge or the second edge is within an expected location range. The system may perform sending a notification that driving adjustment of the vehicle is required if the relative location is outside the expected location range.

Abstract: Example methods, apparatus, systems, and articles of manufacture (e.g., physical storage media) to facilitate application and portability of activity profiles and vehicle cabin configuration are disclosed. An example method includes receiving an activity profile and a user setting associated with a user. The activity profile is one of multiple predetermined activity profiles selectable by or associated with the user. The method includes applying the activity profile and the user setting to the vehicle to adjust at least one characteristic of the vehicle's cabin to facilitate a performance of an activity during navigation of the vehicle and/or while the vehicle is stationary. The activity profile and the user setting may be received during, prior to, or after receipt of data indicative of the user's identity. Applying of at least the activity profile to the vehicle may be performed upon successful authentication of the user.

Abstract: An apparatus for generating non-electric control signals for a brake system, which has a first supply source, including: at least one interface configured to be connected to a pressure accumulator; and at least one interface to output the control signals; in which the apparatus is configured to be supplied via a second supply source. Also described are a related module and an electronic brake system.

Abstract: An approach is provided for generating/breaking vehicle paths on a limited graph area. The approach, for example, determining an expected frequency of location data collected from a sensor of a vehicle traveling on a roadway, wherein the location data include a plurality of probe points that are time-sequenced. The approach also involves detecting an exit or an entry of the vehicle on the roadway based on comparing the expected frequency to an observed frequency of the location data on at least one portion of the roadway. The approach further involves initiating an identification, a creation, a breaking, or a combination thereof of a path constructed from the location data based on the detecting of the exit or the entry of the vehicle. The approach further involves providing the path as an output.

Abstract: A smart container yard includes systems for intelligently controlling operations of vehicles in the container yard using teleoperation and/or autonomous operations. A remote support server controls remote support sessions associated with vehicles in the container yard to provide teleoperation support for loading and unloading operations. Aerial drones may be utilized to maintain positions above a teleoperated vehicle and act as signal re-transmitters. An augmented reality view may be provided at a teleoperator workstation to enable a teleoperator to control vehicle operations in the smart container yard.

Abstract: A method of controlling switching to a manual driving mode in an autonomous vehicle provided with a foldable pedal device is provided. In the method, when a signal for switching a driving mode from an autonomous driving mode to the manual driving mode is generated in an autonomous vehicle provided with a foldable accelerator pedal device and a foldable brake pedal device, whether it is possible to switch the driving mode to the manual driving mode is determined by checking safety conditions; when the safety conditions are satisfied, it is determined whether a pop-up position of a pad of the foldable accelerator pedal device and a pop-up position of a pad of the foldable brake pedal device are normal pop-up positions, respectively; and only when the positions are the respective normal pop-up positions, the driving mode is switched to the manual driving mode.

Abstract: A dynamic vehicle stability control system for a vehicle may include an active wing extending laterally relative to a longitudinal centerline of the vehicle and configured to be rotatable to change an angle of attack relative to wind passing over the vehicle parallel to the longitudinal centerline, a repositioning assembly operably coupling the active wing to the vehicle, and a controller operably coupled to components and/or a sensor network of the vehicle to receive status information about the vehicle. The repositioning assembly may be operated based on a wing angle command received by the controller responsive to execution of a plurality of control algorithms executed by the controller. The controller may be configured to determine the wing angle command based on respective wing angle requests generated by each of the control algorithms.

Abstract: A guidance apparatus for an autonomous vehicle and a method therefor are provided. The guidance apparatus includes a first guidance device that guides a passenger in the autonomous vehicle through first response information, a second guidance device that guides a rescuer outside the autonomous vehicle through second response information, and a controller that controls guidance on the first response information and guidance on the second response information, when abnormality occurs in the autonomous vehicle.

Abstract: Disclosed herein is a method and apparatus for managing lost property in a shared autonomous vehicle, which determine a likely lost property spot based on a location and time a passenger is highly likely to lose their property, by monitoring the passenger's movements in the vehicle and classifying the passenger's behavior as a behavior pattern that makes the passenger prone to losing their property. Accordingly, the passenger may send a lost property retrieval request, and the passenger may be given guidance on how to retrieve the lost property, thereby allowing for efficient management of lost property in a shared autonomous vehicle. One or more among an autonomous vehicle, user terminal, and server according to the present invention may be associated with an artificial intelligence module, a drone (or unmanned aerial vehicle (UAV)) robot, an augmented reality (AR) device, a virtual reality (VR) device, and a 5G service-related device.

Abstract: Methods, systems, devices and apparatuses for an off-road vehicle control system. The control system for the vehicle includes at least one of a navigation unit or a sensor. The navigation unit is configured to obtain a current location of the vehicle. The sensor is configured to obtain sensor data of a surrounding environment of the vehicle. The control system includes an electronic control unit. The electronic control unit is coupled to the at least one of the navigation unit or the sensor. The electronic control unit is configured to set the vehicle into an electrical vehicle (EV) mode based on the current location of the vehicle or the sensor data.

Abstract: When there is a possibility of collision between a host vehicle and objects positioned in a detection region in front of the host vehicle, an ECU implements collision avoidance control for preventing the host vehicle from colliding with an object. The ECU detects the objects positioned in the detection region and judges whether, among the detected objects, there is an object that the host vehicle has overtaken and that is capable of moving within a prescribed range in the vehicle width direction of the host vehicle. If it is judged that the host vehicle is turning to the left or to the right after it has been judged that the host vehicle has overtaken an object, the actuation timing of the collision avoidance control is advanced.

Abstract: An operation appropriateness determination system includes an authentication apparatus that identifies an operator on a basis of a feature of the operator and that outputs information for identifying the operator, a biometric sensing apparatus that obtains biological information regarding the operator and that outputs the biological information, an operation sensing apparatus that detects a load of an operation that is being performed by the operator and that outputs operation information indicating the load of the operation, a storage device, and a signal processing apparatus.

Abstract: The present application relates to a method and apparatus including a sensor for detecting a first vehicle speed, a camera operative to capture an image, a processor operative to determine a road curvature in response to the image, the processor further operative to determine a first predicted lateral acceleration in response to the road curvature and the first vehicle speed, the processor further operative to determine a second vehicle speed in response to the first predicted lateral acceleration exceeding a threshold value wherein the second vehicle speed results in a second predicted lateral acceleration being less than the threshold value, and to generate a control signal indicative of the second vehicle speed, and a vehicle controller operative to reduce a vehicle velocity to the second vehicle speed in response to the control signal.

Abstract: A driving assistance system includes a sensor set, a data storage device and an output device. The sensor set observes apparent states of each road user of the plurality of road users at successive time steps, the data processor assigns a behavioral model stored in the data storage device, the data processor calculating a new maneuver distribution that is a probability distribution over a finite plurality of alternative maneuvers and a new state distribution that is a probability distribution of possible states for each alternative maneuver of the finite plurality of alternative maneuvers. The data processor determines a risk of collision of the road vehicle with another road user, based on the new maneuver and state distributions of the target road user, and outputs one or more of a driver warning signal and executes an avoidance action if the risk of collision exceeds a predetermined threshold.

Abstract: A computer is programmed to store a first vehicle location at which a user device is connected to a first network. The computer is further programmed to store a route of a host vehicle from the first vehicle location to a second vehicle location at which the user device cannot connect to the network. The computer is further programmed to move the host vehicle to the first vehicle location in response to the user device not connecting to a second network at a predetermined time.

Abstract: Provided is a method and apparatus for determining a path of a vehicle. The method includes receiving a radio frequency (RF) signal among RF signals predefined corresponding to other vehicles in front of the vehicle, and determining a path of the vehicle based on the received RF signal.