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.