An optical proximity sensing circuit uses an infrared emitting device and a light conversion material to produce detectable visible signals.
Drive signal generating unit shifts frequency of second unit frequency signal in same direction as first to improve identification accuracy.
Variable thickness in the transmission element adjusts the angle of incidence on inclined prism faces, minimizing scan distortion.
A Kalman filter weights pseudo measurements by confidence to stabilize bounding box dimensions despite decreasing range sensor detections.
Multi-tone continuous wave detection eliminates successive measurement delays by extracting range and velocity data from a single interference pattern.
Offset attachment seat decouples rotating sensor from fixed cover, preserving external appearance during directional adjustment.
Periodic switching of modulation signals between signal paths reduces tap mismatches and noise, enhancing depth measurement accuracy and frame rate.
A sensing system calculates object signals using visible and infrared light data to enhance detection accuracy.
Acousto-optic modulators replace mechanical mirrors with acoustic waves to eliminate vibration and inertia while enabling rapid beam scanning.
A multi-point scanning lidar uses a MEMS light guide surface to direct laser beams across target areas.
A 3D lidar point cloud processing module transforms scan coordinates to calculate a road surface height reference line using folding line fitting.
A 3D sensor system classifies landing zone suitability by oversampling terrain data and evaluating statistical properties like variance and skewness.
A distance measuring device uses multiple threshold levels to filter internal noise from received signals.
Dual polyfingers in a differential TOF pixel segment the integration period to capture high and low light data simultaneously, eliminating motion artifacts.
An adaptive ladar receiver selectively controls photodetector pixels to optimize dynamic range and reduce noise.
Uniform signal distribution across gated photosensitive cells reduces false detection rates while maintaining high detection efficiency.
A distance image processing unit synchronizes charge storage with emission timing to isolate flare light signals for accurate object detection.
A time-of-flight light event detection circuitry uses macropixel and window modes to determine incident light events with high precision.
Autonomous wavelength selection adapts optical sensing to prevailing conditions.
An attenuation layer on a MEMS mirror stabilization ring absorbs stray light, resolving static reflection intensity issues in LiDAR systems.
Externalizing the local oscillator via a retroreflector reduces PIC layout complexity and production costs.
A LiDAR device detects object and wave motion on water surfaces using laser reflection analysis.
Integrated LiDAR and road sensor detect reflected light across wavelengths to identify road conditions without separate hardware.
Segmented light-receiving portions correct housing panel reflections, maintaining measurement accuracy across short and long distances.
A detection device uses separate infrared and visible light sources to stabilize sensitivity for accurate object presence measurement.
Determining Fourier coefficients from differential mode measurements corrects cyclic errors in time-of-flight depth sensing.
A dynamic spatial filter creates a synchronized aperture to block ambient light and isolate reflected laser pulses.
Edge sampling reconstructs return signal waveforms from comparator transitions to enable continuous acquisition.
Damping circuits transform narrow pulses into damped oscillation waveforms, enabling lower sampling frequency A/D converters and reducing production costs.
A photodetection device uses an analog counter and resetter to process pulse signals from avalanche photodiodes.
A pulsed laser LIDAR system uses SPAD detectors to measure photon arrival times for distance information.
Adjustable optical detector gain prevents signal saturation in bright environments while maintaining high dynamic range for accurate 3D target recognition.
A sensor scan filtering system uses calibrated threshold tables to differentiate true obstacles from false positives based on angular size and distance.
Replacing analog circuits with a fully digital architecture reduces sensitivity to process fluctuations while maintaining signal processing capability.
A delay-based optical testing apparatus simulates distant light travel to enable accurate distance measurement calibration in compact spaces.
A detection device determines time differences between trigger and feedback signals to compensate for temperature and aging errors.
Coordinated airborne alert and ground confirmation using polarimetric radar overcomes signal attenuation in high-salinity sea ice.
A non-line-of-sight imaging system uses dynamic pulse repetition rate adjustment to characterize relay walls for remote corner imaging.
Feedback control adjusts driving parameters to synchronize mirror oscillation despite inertia variations, enabling accurate three-dimensional mapping.
Offset periods in charge-transfer gate timing resolve simultaneous switching issues, improving precision and operational margins for manufacturing.
Local processing circuitry samples analog signals four times per clock cycle to extract amplitude and phase components directly at each detector pixel.
A coherent lidar imaging method generates multiple synchronized transmission signals to determine distance and speed information for each pixel simultaneously.
A proximity sensor identifies the reflection point of focused light to determine distance using an event-based vision sensor.
A scattered light reference pixel records intensity-modulated signals outside the imaging section to enable precise phase determination.
A LiDAR module uses unique timing and amplitude codes to identify return signals through matched filters.
A continuous wave time of flight camera uses partial reset techniques on adjacent pixel rows to enhance imaging speed and optimize energy efficiency.
A time of flight camera uses spread-spectrum frequency modulation to determine distance via optical correlation.
Dynamic attenuation in an internal reference path compensates for signal strength variations to correct systematic measurement errors.
Frequency unwrapping module uses transformation matrix to generate lookup table index for range determination.