Electromagnetic Wave Reradiation TRIZ Cases

Sweeping modulation frequencies extracts depth from cross-correlation signals, resolving phase-wrapping and multi-path interference in low SNR conditions.

An optical-electro system integrates photodetectors with waveguides to generate interfered signals from local and signal light.

Birefringent optics compensate for scanning-induced offset angles, allowing detection and reflected beams to share a single transmitter port.

A LIDAR beat signal processing method converts low-resolution Fourier Transform data into high-resolution frequency domain information.

A fault-detection system monitors galvanometer mirror position to identify zero position angle offsets in vehicle-mounted LiDAR units.

A distance measuring device evaluates correlation between time-series luminance signals to confirm measurement target origin.

A laser target lighting device uses a phase plate and modulator to deflect the beam path.

A time-of-flight sensor circuit uses comparators and a counter to calculate quantities Q and I.

Receiving optics with multiple microlenses align optical beams onto distributed avalanche photodiodes.

Automated sensing replaces manual visual checks to ensure regulatory compliance and improve vehicle handling.

A receiving drive circuit applies negative anode and positive cathode voltages to a laser beam detector.

A time-of-flight camera system calculates external object arrangements to estimate distance measurement shifts and corrects monitoring determinations.

Integrating a collimator lens with a rotating wedge prism enhances rotational inertia and reduces optical power loss in LiDAR systems.

A switchable beam splitter arrangement divides transmitted light into multiple independent beams for object detection.

A time-of-flight rangefinder generates candidate distances for each receive pulse and selects the correct value using weighting factors.

A LiDAR sensor detects objects at varying distances by adjusting transmitted light intensity to maintain accurate reflectivity readings.

A 3D camera depth measurement apparatus generates log node voltage proportional to reflected light intensity using discharging units with varying rates.

A scanning lidar sensor acquires point cloud data to calculate relative speed between the ego-vehicle and objects using single scan alignment.

A proximity sensor detects reflected light from an asymmetric target contour to determine rotational position.

Multiple inclined optical axes split laser light to detect Doppler shifts from in-plane motion, enabling accurate velocity measurement of moving targets.

A vehicular electromagnetic wave transmission cover integrates a heating element with a low thermal conductivity housing.

A distance measurement module integrates a transparent member and lenses to direct light onto a single sensor unit.

Segmented LiDAR receivers use distinct sensitivity groups to capture reflected light signals across varying distances.

Segmented measurement intervals and pulse histograms resolve aliasing to extend detection range while maintaining eye safety limits.

A rotatable laser distance sensor adjusts its angle to maintain alignment with a camera module's field of view.

Replacing mechanical strain gauges with a coil-based system eliminates complex wiring and reduces spring load for durable angle detection.

An objective sensor measures reflected wave intensity across multiple directions to identify dirt candidate points on its protective member.

Laser sensors detect near-field objects while stereo sensors cover distant areas, resolving blind spots and improving detection accuracy.

A lidar storage method compresses detection data by storing intensity information with reduced time precision based on signal weight.

A directional signal emitting module changes frequency to determine distance via decoded reflected signals.

A configurable ASIC sensor architecture processes unified data packets from multiple sensor types.

A vehicle tracking device estimates a rectangular frame to specify advancing direction from sensor contour data.

A casing step positions the emitter below the receiver to block direct patterned light, preventing dot overlap and maintaining measurement accuracy.

Stacked semiconductor substrates enable simultaneous charge acquisition in depth pixels, resolving sensitivity limits without expanding lateral dimensions.

A sonar steering system automatically adjusts transducer orientation to maintain target coverage.

Extracted frequency comparator circuits measure heterodyne beat frequencies to reduce pixel complexity and lower power consumption in active imaging systems.

A laser distance sensor adjusts coincidence time and event thresholds using a control device.

Reconstructs mobile LiDAR scanner trajectory from point clouds to correct geometric errors caused by IMU misalignment.

Dual scanning apparatuses reduce LiDAR volume while maintaining an unobstructed receiving aperture for autonomous driving.

Time-division multiplexing coordinates multiple scanners in a 3D sensing system, eliminating mutual interference that causes erroneous depth information.

A lidar system uses phase-bounded low cross-correlation codes to enable continuous data acquisition without temporal gaps between pulses.

Polarized light pulses pass through a linear polarizer to block ambient interference, resolving false detection from other vehicles.

Processor converts time domain parameters into correction values for optical pulse distance measurement.

Processing circuitry selectively activates energy pulses based on mapping designation information to generate partial field-of-view 3D maps.

Laser rangefinders measure cuboidal box dimensions to resolve the trade-off between measurement precision and device complexity.

Separate MEMS mirrors optimize deflection angles to extend scanning range beyond 150 meters while maintaining high angular resolution.

An optical sensor modulates light emission and sampling signals using a random code generated from reference pixel data to distinguish multiple objects.

A signal processor amplifies noise to adjust detection thresholds for LIDAR sensing.

A LiDAR-based object tracking system uses point cloud clustering and feature matching to detect and track vehicle objects in real time.