A ball-balancing robot is capable of accurately controlling its posture when a robot main body is rotated about the vertical axis in a yaw direction in a state in which the robot main body is positioned on a spherical object in a posture in which a gravity center of the robot main body matches a vertical axis passing a center of the spherical object, and in a state in which a base axis of the roll-direction angular velocity sensor is inclined with respect to the horizon in a pitch direction (at an inclination angle θ.sub.P), the robot main body is able to rotate while maintaining a predetermined posture by making correction to cancel a detection error in the angular velocity in the roll direction generated based on the inclination of the base axis of the roll-direction angular velocity sensor.

A ball-balancing robot is capable of accurately controlling its posture when a robot main body is rotated about the vertical axis in a yaw direction in a state in which the robot main body is positioned on a spherical object in a posture in which a gravity center of the robot main body matches a vertical axis passing a center of the spherical object, and in a state in which a base axis of the roll-direction angular velocity sensor is inclined with respect to the horizon in a pitch direction (at an inclination angle θ.sub.P), the robot main body is able to rotate while maintaining a predetermined posture by making correction to cancel a detection error in the angular velocity in the roll direction generated based on the inclination of the base axis of the roll-direction angular velocity sensor.

A fuel cell system includes a drive motor, a fuel cell, an auxiliary machine, a secondary battery, a temperature sensor, a current sensor, and a control section. The control section controls the secondary battery for discharging by driving the drive motor or the auxiliary machine and for charging through power generation by the fuel cell or regeneration by the drive motor when a temperature measured by the temperature sensor is lower than a specified value.

A fuel cell system includes a drive motor, a fuel cell, an auxiliary machine, a secondary battery, a temperature sensor, a current sensor, and a control section. The control section controls the secondary battery for discharging by driving the drive motor or the auxiliary machine and for charging through power generation by the fuel cell or regeneration by the drive motor when a temperature measured by the temperature sensor is lower than a specified value.

An ECU controls an in/out motor so as to, interlockingly with turning of a vehicle, change a viewing range of a periphery of the vehicle with respect to a vehicle occupant. In a case in which a predetermined condition for viewing a body side is established, the ECU controls the in/out motor so as to prohibit or stop changing of the viewing range.

An ECU controls an in/out motor so as to, interlockingly with turning of a vehicle, change a viewing range of a periphery of the vehicle with respect to a vehicle occupant. In a case in which a predetermined condition for viewing a body side is established, the ECU controls the in/out motor so as to prohibit or stop changing of the viewing range.

A driver socket arranged for installation of a ground reinforcement bolt, wherein the driver socket includes a rotation sensor arranged for measuring rotation of the driver socket 1. The driver socket includes a processing unit configured to receive a signal from the rotation sensor and to derive, based on the signal from the rotation sensor, rotation data related to the number of revolutions the driver socket has been rotated.

A tire longitudinal stiffness estimation system includes an electronic communication system disposed on a vehicle. A sensor is disposed on the vehicle in communication with the electronic communication system, and a processor is accessible through the electronic communication system. The sensor measures parameters associated with the vehicle and communicates data for the parameters to the processor. A mu slip curve generator receives the parameters to generate a mu slip curve in real time from the data. An extraction module extracts raw data from a linear portion of the mu slip curve. A denoising module de-noises the raw data from the mu slip curve by determining a vector for the raw data, an orientation of the vector, and a heading of the vector. The denoising module generates de-noised data, and a stiffness calculator receives the de-noised data and generates a longitudinal stiffness estimate for the tire.

A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to receive sensor data including wheel speed measurements, suspension displacement measurements, and tire leak detection data from a vehicle, estimate a rough road measurement based on a deviation of a wheel speed with respect to an average wheel speed and or based on suspension displacement sensor signals and generate temporal spatial map data indicative of a location and a roughness severity metric of a roadway portion based on the rough road measurement and tire leak detection data.

Deriving a clean timing signal from a waveform is disclosed. A sensor-of-interest (SOI) sample set and a waveform sample set that correspond to the SOI sample set in time is collected. The waveform sample set is partitioned into a plurality of waveform sample subsets, and the SOI sample set is partitioned into a plurality of SOI sample subsets, each SOI sample subset corresponding to one of the plurality of waveform sample subsets. A plurality of waveform sample subset angular speeds is determined, wherein each waveform sample subset angular speed corresponds to a different waveform sample subset. An aggregate mean angular speed based on the plurality of waveform sample subset angular speeds is determined. Each SOI sample subset is resampled to the aggregate mean angular speed based on the corresponding waveform sample subset angular speed to generate a plurality of resampled SOI subsets.