Speed Measurement Using Acceleration TRIZ Cases

Integrated acceleration areas between zero crossings separate real door or drawer motion from noise for accurate open and close detection.

Integrated acceleration areas between zero crossings help distinguish real door or drawer opening and closing events from noise and knocks.

When wheel pulse signals fail, multiple backup inputs with trust parameters keep pedelec speed detection stable and rider assistance consistent.

GNSS-guided beam steering predicts target direction during flight to keep air mobility links stable with fixed or moving ground targets.

ABS tooth counts matched to transmitted wheel-angle timing let the ECU identify identical TPMS sensors at each wheel automatically.

Radial acceleration sampling timed between contact patch and revolution intervals improves tire mileage accuracy without external computation.

Acceleration and yaw-rate sensing provide a kinematic cross-check for e-bike speed when pulse-based sensors fail or drift.

Multi-axis acceleration and rotation sensing estimate eBike speed and flag faulty pulse-based signals through kinematic plausibility checks.

Processes all wheel speeds and longitudinal acceleration to estimate vehicle speed accurately during wheel slip without IMU data.

Flight-data system identification estimates UAV wind speed without added sensors or databases, cutting cost and preserving real-time response.

On-board acceleration sensing replaces static references and gyroscopes to measure lamp belt speed accurately during high-speed rotary imaging.

Combining pitot and accelerometer signals with complementary filtering improves rotorcraft vertical speed estimation and stabilizes FBW control.

A low-pass filter estimates the input-to-readout clock ratio so inertial sensors can extrapolate output data accurately in slave mode.

Kalman-filter-based drift removal corrects integrated sensor data and improves speed estimation when sensor errors and initial values cause drift.

Rounding IMU velocity and orientation increments while carrying remainders forward cuts transmission power without causing integration drift.

Gyroscope and accelerometer fusion detects rotation and movement to identify mobile terminal ejection from a holder faster than free-fall alone.

Predicting time-varying gas solubility from pressure, temperature, and stroke history helps service aircraft shock struts without overpressurization.

Rotation-rate and acceleration data are fused to detect atypical twisting and movement, enabling rapid identification of holder ejection or crash events.

Inertial sensors in an electronic luggage tag estimate bag weight without bulky scales, enabling real-time weighing during check-in.

Corrects wheel-speed errors from tire radius changes and acceleration by scaling sensor speed with GPS reference data.

Limits transient vertical speed errors by reducing baro-inertial correction gain when barometric altitude shifts abruptly near terrain.

Filtered vertical and horizontal acceleration helps a wearable device identify arm swing direction and ground contact foot despite wearing-position variation.

A probabilistic filter adjusts correction parameters from speed and orientation data to preserve reliable motion and position tracking.

This case monitors GPS and IRS speed data to detect GPS errors and switch sources during aircraft ground manoeuvres.

Self-mixing laser sensors measure side slip and tire slip angles to detect understeer or oversteer conditions without additional mechanical sensors.

A sensor processing unit calculates inference parameters from angular velocity and acceleration data to maintain motion capture accuracy.

A control device calculates gradient information by minimizing the difference between measured and calculated speed values using an equation of motion.

Relocating power measurement from bicycle components to footwear eliminates installation complexity while maintaining accurate performance monitoring.

A determination circuit analyzes acceleration variation rates to detect vehicle impacts using dynamic threshold adjustments.

Stochastic estimators fuse wheel speed with longitudinal acceleration signals to resolve measurement precision errors during drive slip.

A self-calibrating accelerometer mounted on a vehicle wheel calculates gain and offset values using acceleration signal amplitude.

Corrects inertial sensor motion velocity at zero-angular-velocity instances, eliminating drift accumulation errors during continuous tracking intervals.

Dynamic correlation coefficient correction aligns estimated stride with actual walking velocity, resolving individual estimation variance.

Cross-validating optical and encoder speeds via an inertial measurement unit ensures reliable detection in translation-invariant environments.

A lateral velocity estimation system uses yaw-rate and acceleration sensors to calculate vehicle dynamics.

Single Fabry-Perot etalon eliminates spectral drift from multiple filters, enabling accurate atmospheric wind speed measurement via double-edge detection.

An illumination color changer encodes measurement states into backlight hues, resolving readability trade-offs in low-light environments.

A vehicle speed prediction module uses a buffer to store measured speed changes for accurate low-speed estimation.

A wind estimation device determines aircraft wind characteristics by applying a corrective term for apparent wind during rotation.

A wind estimation device calculates air mass displacement using aircraft angle of attack and side slip data from onboard sensors.

Processor adjusts wheel radius correction factor using inertial and GNSS data to resolve static calibration errors in vehicle speed measurement.

Hybrid altimeter sensors measure atmospheric pressure gradients to determine normalized position for elevator speed detection.

A railway vehicle calculates proper acceleration using inertial sensor spectral analysis and state estimation algorithms.

Dynamic trigger time programming compensates for muzzle velocity deviations to improve impact accuracy without active tracking hardware.

A vehicle stability system recalibrates tire circumference parameters by comparing wheel rpm signals against integrated longitudinal acceleration data.

A static heading detection method refines position estimates using accelerometer and e-compass data.

Replacing capacitance structures with a photoelectric system eliminates slow charge-discharge cycles, ensuring linear detection curves and high precision.

Dual wheel-mounted accelerometers measure translational and angular acceleration to calculate absolute vehicle speed without mechanical linkages.

Wavelet transforms process tri-axial accelerometer signals to extract precise gait characteristics for mobile device control.

Segmented rotating wheels display speed magnitude and acceleration rates, compensating for missing auditory cues in electric vehicles.

An estimator uses an inertial unit and virtual sensor to calculate instantaneous velocity vectors for rail vehicles.