Embodiments for operational envelope detection (OED) with situational assessment are disclosed. Embodiments herein relate to an operational envelope detector that is configured to receive, as inputs, information related to sensors of the system and information related to operational design domain (ODD) requirements. The OED then compares the information related to sensors of the system to the information related to the ODD requirements, and identifies whether the system is operating within its ODD or whether a remedial action is appropriate to adjust the ODD requirements based on the current sensor information. Other embodiments are described and/or claimed.

A posture estimation method includes calculating a posture change amount of an object based on an output of an angular velocity sensor, predicting posture information of the object by using the posture change amount, adjusting error information in a manner of determining whether or not the output of the angular velocity sensor is within an effective range and, when it is determined that the output of the angular velocity sensor is not within the effective range, increasing a posture error component in error information and reducing a correlation component between the posture error component and an error component other than the posture error component in the error information, and correcting the predicted posture information of the object based on the error information.

An inertial sensor includes a substrate, a first supporting beam being a first rotation axis extending along a first direction, a first movable member swingable around the first rotation axis, a second supporting beam being a second rotation axis extending along a second direction crossing the first direction, a second movable member swingable around the second rotation axis, a third rotation axis extending along a second direction, a third movable member swingable around the third rotation axis, and a projection, wherein the second and third movable members are line-symmetrically placed with a center line of the first movable member along the second direction as an axis of symmetry, a center of gravity of the second movable member is closer to the center line than the second supporting beam, and a center of gravity of the third movable member is closer to the center line than the third supporting beam.

A system includes a driver monitor system configured to receive information about driver operation, a relationship table comprising information about an expected relationship between driver operation and a preload force, and a driver controller configured to control a driver in response to the information about driver operation and according to the relationship table. A method of managing a preload force includes providing a first component, providing a second component for compression against the first component, operating a driver to move the first component into contact with the second component, monitoring an operation of the driver, and determining an expected preload force in response to the operation of the driver.

An inertial sensor includes a substrate, a first supporting beam being a first rotation axis extending along a first direction, a first movable member swingable around the first rotation axis, a second supporting beam being a second rotation axis extending along a second direction crossing the first direction, a second movable member swingable around the second rotation axis, a third rotation axis extending along a second direction, a third movable member swingable around the third rotation axis, and a projection, wherein the second and third movable members are line-symmetrically placed with a center line of the first movable member along the second direction as an axis of symmetry, a center of gravity of the second movable member is closer to the center line than the second supporting beam, and a center of gravity of the third movable member is closer to the center line than the third supporting beam.

A method for determining a drivable area by a vehicle. The method comprising; obtaining data related to a track of the vehicle, wherein the data comprises a plurality of corresponding positions, headings and articulation angles of the vehicle along the track, obtaining size information of the vehicle, determining a swept area of the vehicle for the track based on the data and on the size information of the vehicle, configuring a sensor on the vehicle to detect when the vehicle drives over an obstacle, recording any obstacles detected by the sensor, and determining the drivable area based on the swept area and on recorded obstacles.

Techniques for predicting and avoiding collisions with objects detected in an environment based on sensor data are discussed herein. Sensors of a vehicle may detect one or more objects in the environment. A model may determine intersection values indicative of probabilities that the object will follow different paths that intersect with a planned path of the vehicle. A vehicle may receive one or more intersection values from a model usable by a computing device to control the vehicle.

Techniques for predicting and avoiding collisions with objects detected in an environment based on sensor data are discussed herein. Sensors of a vehicle may detect one or more objects in the environment. A model may determine intersection values indicative of probabilities that the object will follow different paths that intersect with a planned path of the vehicle. A vehicle may receive one or more intersection values from a model usable by a computing device to control the vehicle.

A road surface condition estimation apparatus which accurately estimates a road surface condition even under changes of external environment such as weather, etc., and a road surface condition estimation method using the same is described. The road surface condition estimation apparatus includes: a sensor module which is mounted on a tire; a receiver module which receives sensing information measured by the sensor module; a processing module which extracts a parameter for estimating a road surface condition by analyzing the sensing information received by the receiver module; and an estimation module which estimates the road surface condition by using the parameter extracted by the processing module. The sensing information includes an acceleration of the tire.

A physical quantity of motion of a vehicle in future traveling is specified in time series in a traveling trajectory. A standard trajectory is calculated based on a standard response parameter as a traveling trajectory that does not consider a constraint condition in future traveling. A correction trajectory is calculated based on a correction response parameter different from the standard trajectory as a traveling trajectory having a correction amount for correcting the standard trajectory in time series according to the constraint condition. A target trajectory to which the vehicle follows is calculated as a traveling trajectory in which the correction trajectory is superimposed on the standard trajectory.