Abstract: The vehicle control apparatus comprises a sensor to detect a turning movement physical quantity, an acceleration-deceleration device, a control unit, and a device to obtain road shape information representing a shape of a road at a position that is away from a vehicle by a predetermined distance. The unit determines that a first control start condition becomes satisfied when a magnitude of the physical quantity exceeds a first value while the curved road has not been determined to be present based on the road shape information, to perform an acceleration-deceleration control for making the vehicle run at a target speed depending on a curvature of the road. The unit determines that a second control start condition becomes satisfied when the magnitude of the physical quantity exceeds a second value smaller than the first value while the curved road has been determined to be present to perform the acceleration-deceleration control.

Abstract: In an embodiment, a processor is configured to perform, while a vehicle is driving in an uncontrolled environment, a self-calibration routine for each sensor from the plurality of sensors to determine at least one calibration parameter value associated with that sensor. The processor is further configured to determine, while the vehicle is driving in the uncontrolled environment, and automatically in response to performing the self-calibration routine, that at least one sensor from the plurality of sensors has moved and/or is inoperative based on the at least one calibration parameter value associated with the at least one sensor being outside a predetermined acceptable range. The processor is further configured to perform, in response to determining that at least one sensor from the plurality of sensors has moved and/or is inoperative, at least one remedial action at the vehicle while the vehicle is driving in the uncontrolled environment.

Abstract: Disclosed are methods and apparatuses for signaling turn safety. One or more sensor readings can be received. The one or more sensor readings can be compared to one or more thresholds. A signal can be provided to one or more visual indicators based on whether the one or more sensor readings satisfy the one or more thresholds.

Abstract: An in-vehicle controlling apparatus, comprising an evaluation unit configured to evaluate a sense-of-security level a passenger may feel with respect to an object present in a traveling direction of a self-vehicle, and a signal generation unit configured to generate a predetermined signal based on the sense-of-security level, wherein the evaluation unit evaluates the sense-of-security level based on a time headway and a temporal variation component of the time headway.

Abstract: A vehicle controller device including: a communication section configured to perform communication between an operation device external to a vehicle and another vehicle; a memory; and a processor that is coupled to the memory, the processor being configured to: acquire peripheral information regarding a periphery of the vehicle from a peripheral information detection section, generate a travel plan for the vehicle based on the peripheral information of the vehicle, acquire operation information to operate the vehicle from the operation device, control autonomous driving in which the vehicle travels based on the generated travel plan and also control remote driving in which the vehicle travels based on the acquired operation information, acquire peripheral information from the other vehicle in a case in which the processor is unable to acquire peripheral information, and hand over operation authority to the operation device when peripheral information is being acquired by the processor.

Abstract: An autonomous driving system of a vehicle includes: an autonomous module configured to, during autonomous driving, control at least one of: steering of the vehicle; braking of the vehicle; and acceleration and deceleration of the vehicle; and a driving control module configured to: enable and disable autonomous driving; determine a future time for beginning a period of autonomous driving; and at least one of: selectively delay the beginning of autonomous driving to after the future time; and cancel the period of autonomous driving.

Abstract: Systems and methods for generating motion plans for autonomous vehicles are provided. An autonomous vehicle can include a machine-learned motion planning system including one or more machine-learned models configured to generate target trajectories for the autonomous vehicle. The model(s) include a behavioral planning stage configured to receive situational data based at least in part on the one or more outputs of the set of sensors and to generate behavioral planning data based at least in part on the situational data and a unified cost function. The model(s) includes a trajectory planning stage configured to receive the behavioral planning data from the behavioral planning stage and to generate target trajectory data for the autonomous vehicle based at least in part on the behavioral planning data and the unified cost function.

Abstract: An orchestrator for a fleet management system is disclosed herein. The orchestrator is configured to monitor completion of an assigned job by an autonomous vehicle in a fleet of autonomous vehicles. For example, the autonomous vehicle may have an assigned job of delivering cargo from one location to another location. The orchestrator can identify a plurality of tasks to be completed by a plurality of subsystems of the fleet management system in order to enable completion of the assigned job by the autonomous vehicle. For example, the subsystems may include a troubleshooting subsystem, a remote operations subsystem, a fleet operations subsystem, a fleet coordinator, and/or an interface. The orchestrator can coordinate completion of the tasks by the plurality of subsystems.

Abstract: This application relates to techniques for dynamically determining whether to engage an autonomous controller of a vehicle. A computing system may receive a request to engage the autonomous controller (e.g., autonomous mode) of the vehicle. In some examples, the request may be received from a simulation computing system configured to test an updated autonomous controller in a simulation. Based on a determination that conditions associated with engaging autonomy are satisfied, the computing system engages the autonomous controller. Based on a determination that conditions associated with engaging autonomy are not satisfied, the computing system disables the engagement of the autonomous controller such that the vehicle is controlled according to an initial operational mode (e.g., manual mode, semi-autonomous mode, previous version of the autonomous controller, etc.).

Abstract: A system for controlling an autonomous vehicle is capable of predicting and eliminating a possibility of motion sickness before and during travelling of the autonomous vehicle. The system includes: a first control unit which compares a first vehicle motion sickness index that is determined by a travelling simulation with a first threshold set including passenger information before travelling and controls a boarding location of a passenger before travelling; and a second control unit which computes a passenger motion sickness index from passenger state information and vehicle state information detected during travelling, compares a second threshold indicating the degree of sensitivity to motion sickness according to passenger information during travelling with the passenger motion sickness index, and controls the autonomous vehicle so as to reduce or eliminate a generation of a motion sickness causing frequency.

Abstract: The present disclosure provides systems and methods for mapping a determined path of travel. The path of travel may be mapped to a camera view of a camera affixed to a vehicle. In some embodiments, the path of travel may be mapped to another view that is based on a camera, such as a bird's eye view anchored to the camera's position at a given time. These systems and methods may determine the path of travel by incorporating data from later points in time.

Abstract: Methods and systems are provided for engaging a vertical navigational descent (VNAV/DES) mode of a flight management system (FMS) for an aircraft. The method comprises retrieving a preset vertical navigation (VNAV) profile for a descent path of the aircraft that is stored in the FMS. The current flight path angle (FPA) and vertical speed (VS) of the aircraft is determined and intercept parameters are calculated to intercept the preset VNAV profile with the VNAV/DES mode of the FMS. The intercept parameters are calculated based on the current FPA and VS and displayed to an aircrew member of the aircraft on a visual display device. The aircrew member is allowed to accept the intercept parameters with the VNAV/DES mode of the FMS.

Abstract: The present invention relates to an autonomous driving control apparatus and an autonomous driving control method, and an exemplary embodiment of the present invention provides the autonomous driving control apparatus including: a driver seating sensor configured to recognize whether or not the driver is seated; a driver monitoring device configured to recognize whether a driver is looking ahead; and a processor configured to determine whether control authority is switchable for activating an autonomous driving control function based on sensing results of the driver seating sensor and the driver monitoring device.

Abstract: A vehicle includes a controller and a display. The display is mounted in the vehicle to surround a user in the vehicle. The controller is configured to determine travel information to be proposed to the user based on attribute information for the user, and present the determined travel information on the display.

Abstract: A method, a system, and non-transitory computer readable medium for controlling an autonomous vehicle are provided. The method includes identifying a trend for an autonomous vehicle based on autonomous vehicle profiles associated with one or more vehicles within a network, identifying optimal driving conditions for the autonomous vehicle based on the trend; and controlling one or more subsystems of the autonomous vehicle based on the identified optimal driving conditions.

Abstract: Embodiments of the present disclosure are directed to switching a driving mode of a vehicle. A mode change request from one of a plurality of sources to switch the vehicle from a first driving mode to a second driving mode is received. In response to receiving the mode change request, a status of the vehicle is accessed, and a confirmation request is transmitted to the one of the plurality of sources. Verification of the confirmation request is made, and a driving transition mode is initialized from the first driving mode to the second driving mode based on the status of the vehicle. In response to adhering to safety conditions or safety boundaries within a duration of time, a switching signal is sent to the control system of the vehicle to switch the vehicle from the first driving mode to the second driving mode.

Abstract: To more realistically represent the real-world, a street-level view depicts a route path and objects that occlude one or more segments of the route path. Such objects can include guardrails, buildings, or any of a variety of other objects as described herein. The street-level view can be implemented in advance to preview travel, during travel, or in other scenarios. The street-level view presents the route path from a viewpoint that can be a current location of a traveler or an arbitrary location.

Abstract: A method for controlling a driving assistance feature of a vehicle is disclosed. The method comprises determining a state of a driver of the vehicle by means of a driver monitoring system (DMS) the state of the driver comprising at least one attention parameter, and comparing the determined state of the driver with a predefined attention model. The predefined attention model comprises an independent threshold range for each attention parameter. The method further comprises controlling the driving assistance feature based on the comparison between the determined state of the driver and the predefined attention model.

Abstract: A control apparatus of a vehicle includes a selection unit configured to select one of a plurality of travel states which have different automation rates from each other, a storage unit configured to store an upper limit travel speed of each of the plurality of travel states, and a changing unit configured to change, based on at least one of an operation by a driver and/or information of the driver, an upper limit travel speed of a travel state which is currently selected by the selection unit. The changing unit changes, in accordance with the change in the upper limit travel speed of the travel state which is currently selected, an upper limit travel speed of a travel state which is not currently selected among the plurality of travel states.

Abstract: Autonomous control of a subject vehicle including a longitudinal motion control system includes determining states of parameters associated with a trajectory for the subject vehicle and parameters associated with a control reference determined for the subject vehicle. A range control routine is executed to determine a first parameter associated with a range control command based upon the states of the plurality of parameters, and a speed control routine is executed to determine a second parameter associated with a speed control command based upon the states of the plurality of parameters. An arbitration routine is executed to evaluate the range control command and the speed control command, and operation of the subject vehicle is controlled to achieve a desired longitudinal state, wherein the desired longitudinal state is associated with a minimum of the range control command and the speed control command.