Electromagnetic Wave Reradiation TRIZ Cases

Segmenting the core assembly into a universal holder and detachable casing maintains ranging precision while simplifying production efficiency.

Segmenting the detector array into regions isolates adversarial light pulses from direct reflections, reducing mutual interference between lidar systems.

A sensor apparatus determines spatial density of captured object points to categorize objects as stationary or non-stationary.

Photon-trapping nanostructures disperse light perpendicularly to improve absorption, eliminating complex micro-lens arrays and reducing manufacturing costs.

Processing circuit identifies peaks in received light signals to estimate signal-to-noise ratio and amplitude data.

Integrating emitter, optical, and sensor units on a common substrate reduces structural space and simplifies alignment for vehicle applications.

Azimuthally polarized laser light passes through a photon sieve to produce a ring pattern on the focal plane.

Integrated light blocking barriers reduce crosstalk without separate metal shields or double mold processes.

Segmented SPAD arrays resolve near-range detection failure from receiver dead time by activating lower sensitivity elements during laser emission.

Multi-phase correlation synthesizes I/Q signals to reduce measurement errors below ±1.05 cm.

A control unit cancels voltage-dependent phase errors using pre-calculated characteristic curves to maintain accurate depth measurements.

Circuitry corrects distance information using outputs from overlapping light-receiving elements to resolve temperature-induced measurement errors.

Dynamic diffraction gratings eliminate mechanical inertia and vibration sensitivity, enabling high-speed beam steering.

A ranging device generates dual-resolution frequency distributions using decoder units to process incident light pulses.

A LiDAR system dynamically selects field-of-view regions for distinct scanning resolutions using separate transmitter subsystems.

Segmented coaxial couplers direct outgoing and return light beams along shared optical paths to maximize signal collection efficiency.

Complementary amplifiers replace degraded semiconductor optical amplifiers to maintain power distribution across multiple channels.

Gear-driven deflection units merge rotation and tilt motions into single components, expanding monitoring ranges while reducing mechanical complexity.

A 3D depth sensor predicts focal distances to adjust an autofocus lens assembly, reducing focusing time and motion blur.

A vehicle laser scanner uses an angle-dependent detection threshold function to evaluate received optical signals across varying scanning angles.

A LiDAR data processing device classifies pixel groups using normal vector distributions to distinguish solid objects from suspended particles.

A lidar sensor system uses linearly polarized light and optimized optics to improve signal-to-noise ratio.

Radial sensor array eliminates installation time by covering wide detection range without individual adjustment.

Dynamic beam power distribution reduces solar background noise interference while maintaining measurement accuracy and eye safety thresholds.

A point cloud-based system detects LIDAR misalignment by comparing stored map features with real-time obstacle data to trigger recalibration alerts.

Dual accumulation regions separate signal and noise charges in a time-of-flight sensor, maintaining frame rate while improving measurement precision.

A lidar assembly uses a rotor with multiple sensor devices at different circumferential positions to acquire a gapless field of view.

One-piece main frame mounts lens groups coaxially, eliminating manual optical axis adjustment and preventing glue-induced deviation.

A time-of-flight object detection circuitry obtains reflectivity data to determine scene properties and generate distance-independent image signals.

Variable angle zones on the ring element adjust beam incidence to correct sampling density distortion across the lidar field of view.

LIDAR sensors capture precise volume data to resolve the trade-off between pricing simplicity and measurement accuracy, reducing unexpected surcharges.

Phase correction in electronic rolling shutter T-O-F cameras compensates for light integration changes, reducing motion-induced depth oscillation artifacts.

A radar signal processing device reconstructs power spectra from segmented signals to enable local characteristic detection.

A LiDAR receiver uses digital micromirror devices to direct laser signals toward a detector while deflecting noise.

Integrating LiDAR and video sensors reduces device complexity while improving environmental perception through unified detection.

A laser area sensor corrects distance and light-reception data to identify human bodies.

A LiDAR device uses multiple light source units with varying emission frequencies to increase detectable distance.

A multi-sensor monitoring method divides environments into elementary zones to calculate optimal pointing directions for each carrier.

A shifting unit alters fixed lidar scanning patterns between measurement cycles to enable adaptable detection.

Segmenting point cloud data along vehicle paths reduces computational complexity while maintaining high-definition map accuracy.

A LiDAR optical circulator routes return signals to photodetectors for coherent mixing with a local oscillator.

A processor calculates relative and absolute misalignment angles from reflected signals to detect sensor orientation errors.

A lidar system adjusts its field of view size by controlling lasers and a pivotable mirror.

A time of flight sensor uses a charge coupled device to identify the row containing an image illumination stripe for distance measurement.

A ranging device adjusts laser beam diameter based on distance to enhance spatial resolution.

Radar measures projectile spin using autocorrelation, replacing expensive optical systems.

A LiDAR detection method dynamically adjusts signal processing modes based on ambient information to optimize resolution and accuracy.

Adjusts bounding box dimensions using sensor viewing angles to resolve measurement precision issues in object detection systems.

A sensor array imaging system generates expanded field of view images through processor-based Fresnel field synthesis and Fourier transforms.