Position Fixation TRIZ Cases

Maps satellite signal loss by location, time, and satellite ID so autonomous work vehicles can avoid obstacle-driven positioning gaps.

Automatic position sensing and path control let a farm vehicle align and couple with a work machine without manual hitching.

Ultrasonic boundary posts and onboard vision let a robot map work-region geometry and track position without complex computing.

Two synchronized wideband base-station signals let UAVs estimate position and follow airways where GNSS is unavailable or vulnerable.

Voice and facial recognition with motion-triggered monitoring helps prevent unattended package theft while enabling secure delivery access.

Scattered light from a multi-wavelength optical fiber enables accurate object positioning where GPS and LiDAR struggle with noise, water, or blocked sightlines.

A drone UE indicator with optional height reporting lets wireless networks separate aerial and ground devices for better power control and interference management.

Time-of-flight optical sensing lets an autonomous lawnmower map terrain, detect obstacles, and navigate without physical boundary wires.

Position-based control aligns farm vehicle and work machine coupling units automatically, cutting manual hitching effort and improving field productivity.

By tracking range and azimuth changes over time, a UUV can infer target depth and redirect for accurate 3D underwater guidance.

Fixed site antennas and a handheld display triangulate user position on project drawings, cutting repeated control-point setup on construction sites.

UWB ranging combined with laser detection lets a slave robot track a master robot accurately even when server communication is disrupted.

Dual-frequency ultrasonic timing determines relative position for electronic coupling without radio or infrared, cutting complexity and faults.

Combining GNSS with local positioning stations lets a green area maintenance robot keep accurate coverage where satellite signals are blocked.

Multiple antenna baselines are combined to calculate a representative yaw angle with high accuracy while reducing antenna layout area.

UWB tags and anchors track rig personnel and equipment in real time, enabling interlocks that disable motion when collision rules are violated.

Multiple cameras and fixed or projected targets estimate object pose indoors or outdoors, with inertial correction for fast, accurate tracking.

A drone emits test sounds across rooms to map building acoustics, helping sensors identify the true origin room and reduce false triggers.

By rotating in a preset zone and measuring signals from fixed receivers, the robot restores accurate start-up position and heading despite environmental changes.

Buried RFID ground markers guide electric vehicles to charging points through snow, improving charging access and navigation reliability.

Fusing LiDAR, UWB, camera, and IMU data creates rich and sparse maps so lower-cost robots can localize accurately in signal-challenged spaces.

Rotor thrust, Mecanum wheels, and SLAM let a wall-climbing robot map bridge and tunnel damage without traffic closure.

Border-cell mapping sources and Bayesian fusion cut grid localization complexity from exponential to linear for robust large-grid navigation.

Real-time UWB tracking locates rig equipment and personnel with high precision, triggering interlocks that disable motion when collision rules are violated.

Wireless power measurements guide an aerial vehicle to the best position for analyzing or disturbing communication links in hard-to-reach terrain.

Cooperative sensor data extends detection range, while radar validation and data fusion enable earlier, more reliable road user detection.

Border-cell mapping sources and Bayesian fusion cut grid localization from exponential to linear complexity for large maps and embedded devices.

Combining GNSS with local positioning stations keeps an autonomous green space robot accurately on course where satellite signals are blocked.

Adaptive IMU data reporting improves rapid mobile tracking by balancing positioning accuracy, update speed, and device power use.

When satellite signals are blocked, landmark scanning and dead reckoning keep the mower moving and speed GNSS position recovery.

Optical markers and sensors track GTAW torch angle, filler rod position, and movement to deliver real-time welding training feedback.

Motion sensing is corrected with time-varying Wi-Fi and LTE signal patterns to keep SLAM mapping accurate despite interference and sparse access points.

TDOA and TW-TOA tracking let mobile tags detect threshold crossings and association events with precise positioning in complex warehouse layouts.

A single non-geostationary satellite uses signal arrival times and orbital position data to locate moving vehicles accurately without multiple aircraft.

Fiducial vision and inclination correction improve movable-device positioning on slopes without relying on costly lidar.

Multiple antennas use radio, TV, or Wi-Fi signals to derive vehicle position and heading when GPS is blocked or INS drift grows.

Propagation-delay positioning and separation zones cut false collision alarms around industrial trucks while preserving logistics throughput.

Direct UWB ranging plus laser detection lets one robot locate another and keep follow-up control when server communication is lost.

Real-time anchor updates and UWB time-of-flight ranging improve tag positioning on machinery sites with fewer reference stations.

Two delay-time signals on a boundary wire let a robot measure arrival-time differences for more precise positioning and boundary control.

RF beacons replace intrusive optical tracking so a robotic trolley can follow users or navigate infrastructure with lower complexity and cost.

Multiple ultrasound receiving units use coordinate transformation to locate tools and workpieces across larger production areas with less recalibration.

One fixed base station sends real-time differential correction data to multiple devices, cutting DGPS cost while preserving accurate positioning.

Onboard vision, radar, and LIDAR derive runway path deviation for precise all-weather landing without ground-based ILS.

Virtual control points on a handheld display use fixed antennas and site drawings to avoid repeated setup while preserving accurate positioning.

Mobile anchor nodes on AGVs replace dense fixed antennas to localize people or vehicles faster and at lower installation complexity.

Image-based waypoint selection converts 2D scene points into 3D positions, improving UAV navigation where GNSS and low-contrast terrain limit accuracy.

RF time-of-flight anchors combined with GNSS improve tag positioning in multipath mine and construction sites for more reliable proximity warnings.

A ground scout and drone coordinate row detection, weed identification, and navigation when tall crops block GPS and ground cameras.

Using range and time-of-flight data, the robotic mower self-locates navigation beacons to avoid complex boundary-wire setup.

A wireless transceiver estimates relative position in 3D space using time difference measurements between transmitted and received signals.

A server estimates device location by processing transmitter information and collected position data from a mobile electronic device.

Estimates attitude by comparing theoretical and measured inter-satellite angular deviations to correct spatial errors caused by antenna phase biases.

A compact underwater detection device maps environments by associating water situation data with dynamic relative position information.

Segmenting assistance data and PRS resources reduces coordination complexity while maintaining position estimation accuracy.

Multi-station signal integration overcomes narrow detection areas and weak Doppler shifts for stationary bodies.

A position detection system identifies storage media locations by receiving and filtering item signals based on antenna signal strength ratios.

A variable resource allocation system adjusts sensor measurement resources based on location uncertainty and direction-dependent characteristics.

Closed-loop tracking filters smooth carrier phase estimates to derive velocity and acceleration vectors for mobile receivers.

Deep learning analyzes radio signal reflections to estimate room geometry, overcoming visual sensor limitations from lighting and obstacles.

Processor selects optimal antenna patterns via compressed sensing metrics, resolving accuracy complexity trade-offs in driver assistance systems.

Wireless stations transmit fine timing measurement bursts to calculate range via time of flight.

An accuracy adjustment controller modifies GPS measurement parameters within a Kalman filter to integrate inertial navigation data.

Optimally Weighted Average Solution uses dual GNSS constellations to detect satellite signal faults and ensure navigation integrity.

A mobile location system refines device position by identifying the intersection of proximity sensor sensitivity areas across a subgroup.

A server processes user equipment measurement reports to determine and calibrate location information for mobile networks.

Assisting user equipment filters positioning responses using minimum and maximum range thresholds to reduce communication overhead.

Periodic beacon scanning and dynamic frequency adjustment infer user context while reducing energy consumption from continuous monitoring.

A location and time-based action triggering system generates notifications by combining spatial and temporal specifications.

A recurrent neural network estimates vehicle position from noisy satellite phase measurements, resolving multipath transmission errors in urban environments.

A radar system determines flight direction using Doppler frequency and bandwidth of echoes to align the navigator.

Calculating a peak-to-standard-deviation ratio on correlation data removes false readings caused by noise interference, ensuring accurate geo-location.

A wireless terminal measures downlink radio frame arrival times to calculate distance from a base station node.

Positioning nodes measure radio signal strength to determine device location, resolving indoor multipath errors and eliminating active device configuration.

An auto-calibration apparatus moves to target positions and broadcasts beacon signals for precise vehicle calibration.

A vessel traffic service system processes AIS, radar, and camera signals to generate accident candidate lists.

A GPS receiver determines clock time by matching expected data bit chunks against incoming signals without waiting for full frame synchronization.

Processor compensates for inertial sensor drift and earth rotation by measuring orientation at multiple known positions to improve relative alignment accuracy.

An adaptive control algorithm merges RSSI, ToF, and Wi-Fi signals to resolve environmental interference and measurement errors in distance calculations.

Group access points by characteristic to estimate a shared turnaround calibration function, reducing uncertainty in location estimates.

A hybrid positioning system combines spectral compression with cross correlation to extract observables from weak signals of opportunity.

Mobile devices estimate beacon positions using historical data relayed by satellites.

A user equipment reader estimates passive tag charge time using back-scatter signal analysis and dynamic PARS adjustments.

A first device sends positioning assistance data to a second device, enabling the second device to inherit configuration from an existing session.

A directional microphone array detects unique audio signatures from movable devices to determine position without requiring two-way communication.

Dual sound wave timing calculates device distance via precise delay measurement, resolving IoT proximity detection accuracy.

A method calculates emitter position by intersecting angle and time difference loci.

Dynamic encoding selects efficient compression schemes for GPS packets to improve distance tracking accuracy while minimizing satellite bandwidth costs.

A node position determination method uses distance circles from neighboring nodes to calculate intersection points for location estimation.

A mobile tracking unit identifies beacons broadcasting unique cyclic code words to determine spatial position and orientation in real time.

Processor estimates transmitter location outside coverage area using historical tracking data to maintain patient monitoring without expanding infrastructure.

A positioning protocol method manages user equipment panel activation states to control processing latency during measurement sessions.

A location-based imaging system captures images using GPS and facial recognition to automate photography.

Radio maps analyze signal strength distributions to resolve indoor outdoor transition accuracy while reducing computational complexity.

A voice-controlled agent determines user location from speech sound data and correlates it with mobile device identification information.

A ToF poll request mechanism enables wireless initiators to retrieve pre-calculated location results without extended channel dwell time.

Filters non-line of sight signals using pre-measurement performance prediction to eliminate range estimate bias and improve position accuracy.

A positioning system assesses radio signal fingerprint quality to determine whether mobile devices should collect further data for indoor location services.