Segmented altitude intervals and elementary slopes determine aircraft flight distance over lateral discontinuities.
A vertical transportation guidance device projects personalized route signs to direct users to selected elevators.
Automated big data framework synchronizes track network models with sensor-collected raw data, eliminating manual update delays and navigation errors.
An embedded GNSS chipset calculates pseudorange information and permits extraction via a SUPL client for mobile data collection.
An active rotation mechanism compensates for gyroscope scale factor errors, eliminating the need for time-consuming manual calibration procedures.
A handheld alignment aid uses shoe sensors to detect golfer position vectors for real-time stroke correction.
Deflecting tactile rods measure crop rows and debris to improve navigation precision where GPS signals fail.
A mobile device pressure sensor calibration method uses weighted metric values to determine optimal timing for altitude adjustments.
Aircraft synthetic vision system corrects topographical database errors using local area augmentation system signals for accurate 3D terrain rendering.
A method calculates a reaction vector from acceleration data to determine user moving direction.
Segmenting vessel traffic data into sub-regions creates a navigable graph, resolving the lack of structural road networks for shortest-path algorithms.
Temporal evolution models propagate orientation data from one sensor to estimate all segments, reducing device complexity and cost.
A flight path setting apparatus calculates non-settable ranges around selected waypoints to guide user input.
Compares last known and current odometer values to estimate initial position, eliminating GPS time-to-fix delays in urban environments.
Pre-selected location codes stored in a guiding unit resolve the contradiction between fixed routes and individual user preferences for efficient navigation.
Server system processes vessel position and size data to generate customized navigation routes, resolving high equipment costs for small boats.
Deterministic flight path planning calculates shortest safe paths through grid graphs, resolving noisy terrain data challenges in nap-of-the-earth operations.
Track identifiers match sensor measurements to PHD filter intensities, resolving the contradiction between filtering complexity and tracking accuracy.
Recursive Kalman filter estimates position error states in inertial navigation systems for accurate relative positioning.
Matching geomagnetic field sequences against fingerprint maps reduces computational complexity for indoor localization in large spaces.
Resampling particles by similarity index reduces computational complexity while maintaining localization precision against signature deformation.
A vector-based map rendering system generates customized geographic views by converting static outlines and dynamic user data into editable string formats.
Hierarchical building-floor-room maps enable centimeter-level user localization without external hardware or internet connectivity.
An ultrasonic navigation module processes acoustic samples to estimate device orientation and speed.
A mobile device classifies motion modes by comparing inertial sensor data against training sets using linear predictor coefficients.
Deep learning neural networks process inertial sensor data to estimate vehicle location, resolving localization accuracy issues where GNSS signals are weak.
Environment sensors collect time series data to create navigation traces, enabling accurate indoor location guidance without pre-existing map information.
A ship vicinity display device graphically presents destination positions using processing circuitry and AIS interface data.
A navigation receiver generates satellite orbital models using minimal parameters to predict positions without broadcast ephemeris.
A pedestrian dead reckoning system determines walking direction by matching accelerometer data to reference patterns.
A GeoFill technique completes waypoint identifiers by leveraging geographical proximity to current aircraft location.
A positioning device adjusts estimated headings using pre-stored regional map data to refine location estimates.
Path segment matching aligns mobile device locations to probable indoor routes using WiFi access point signals, resolving weak GPS accuracy issues.
Pre-positioned objects act as dynamic landmarks, enabling accurate vehicle pose determination without relying on fixed infrastructure.