Electromagnetic Wave Reradiation TRIZ Cases

Liquid Crystal on Silicon devices redirect beams from multiple light sources to overcome limited steering range and refresh rate constraints.

A sensor digitizes reception pulses via serial multiple sampling with different delays to achieve high time and amplitude resolution.

A LiDAR device emits an aperiodic pulse train with non-uniform time intervals to determine pulse rank and time-of-flight.

A controller manages peak current overlap in lidar object detection devices.

A frequency modulated continuous wave lidar processor separates baseband signals into time domain subbands to isolate relevant spectral regions.

Applies cosine correction to standardize coordinates and unify phases among shot points, resolving Z-axis measurement inaccuracies caused by optical errors.

Polarization filtering isolates misdirected light from the main path, improving signal reliability and measurement accuracy.

A laser radar device projects beams to a reference optical member for circuit failure detection.

Coded modulation isolates cover reflections to correct distance measurement errors while maintaining constant output power.

Delayed control signal propagation enables time-to-digital converters to measure and correct systematic errors, enhancing distance measurement precision.

Laser pulse sets employ unique signatures to correlate returned pulses, resolving ambiguity at high emission frequencies while maintaining scanning speed.

Segmenting the scanning field across multiple channels reduces latency in speed estimation for autonomous vehicles.

Multiple comparison units extract distance and noise features from echo signals, resolving low collection rate limitations in ranging accuracy.

An intermediary lens system expands the beam between two scanners, preventing walk-off constraints that force larger second scanner sizes.

A beam scanner uses electro-optic modulation to steer light without moving parts.

A computer-implemented method updates radar sensor calibration using ground truth values derived from vehicle operation parameters.

An optical sensor uses an adaptive Kalman filter to process distance measurements from a transmit and receive unit.

Dynamic temporal profiles resolve cross-talk and pulse confusion in multi-channel lidar environments.

A measuring transmitter and receiver pair compensates for interference radiation using a variable internal resistance unit.

A silicon photonic chip integrates beam splitters and detectors to miniaturize lidar systems.

A digital micro-mirror array directs reflected scanning signals to reduce rotational inertia and eliminate unnecessary data acquisition from empty spaces.

A single front exteroceptive sensor offsets laterally from the vehicle mid-sagittal plane to expand the horizontal field of view.

Opaque cover reflection provides characterization data to correct distance errors and calibrate output power.

Acousto-optic beam steering directs electromagnetic radiation via oscillation frequency to resolve angles without complex discrete elements.

Segmenting broad bandwidth frequency chirps into temporal portions improves duty cycle and range resolution in FMCW LiDAR systems.

An optical environment sensor uses a transmission signal and evaluation unit to detect objects in the surrounding area of a motor vehicle.

A hybrid time-of-flight sensor uses a single-photon avalanche diode array to measure distance via direct and indirect modes.

Integrating an optical sensing system inside the MEMS package improves scanning angle measurement precision while managing device complexity.

Parallel beam encoding boosts signal-to-noise ratio while keeping individual laser power below eye safety thresholds.

A semiconductor laser element arranges light emitting regions to abut or partially overlap in one direction while separating them in another.

A laser scanner detects functional impairment using an echo reflected at a semitransparent protective screen.

Segmenting the silicon photomultiplier array into dedicated regions resolves parallax and dynamic range limitations in LiDAR systems.

A measurement apparatus uses dual light receiving units to separate reflected signals from ambient noise.

An imaging device uses temporal multiplexing to capture color and depth information, eliminating color filters while maintaining high pixel resolution.

Offset lens steering replaces mechanical actuation to expand lidar field of view while reducing device complexity and system size.

Scrambles laser pulse energy levels to distinguish return signals, resolving distance measurement ambiguity caused by high repetition rates.

A pixelated optical distance sensor uses a multi-element detection surface to capture returning measurement beams for precise spatial analysis.

A ranging processing device calculates depth using four-phase and two-phase operation units to optimize performance.

A vehicle image acquiring apparatus uses dynamic timing control to adjust light emission intervals for pulse light.

Laser ranging replaces RF phase interferometry to eliminate drift and improve cross-range resolution.

AI interpolation generates dense wind speed fields from sparse laser radar data, avoiding costly hardware upgrades and slow fluid simulations.

Circular signal allocation increases detection points per second, reducing system costs and dwelling time limitations.

A direct time-of-flight sensor averages multiple crosstalk signals to estimate and remove wraparound interference during calibration.

A photoelectric conversion device performs multiple analog-to-digital conversions on the same signal using varying reference rates to generate composite digital outputs.

A signal processing apparatus calculates a second modulation frequency based on an initial distance image to enable precise exposure control.

Compressing the instantaneous field-of-view reduces solar background noise while maintaining signal-to-noise ratio across the scanned scene.

Separate correction data for up-chirp and down-chirp durations compensates for non-linear frequency changes in FMCW LiDAR systems.

A lidar rangefinder captures depth frames to calculate object centroids and trajectories, eliminating illumination sensitivity that degrades optical tracking.

An extended MIPI interface transmits depth and OPD data from iTOF sensors, resolving conventional format limitations that restrict system versatility.