A lidar system uses 1550 nm light pulses to measure distance with high sensitivity.
Non-resonant drive signals adjust scan rates independently of resonant frequencies, reducing range aliasing and ambient light noise in automotive LIDAR systems.
A multi-pass LIDAR system uses synchronized time-selective triggered dynamic voxel probing to determine object distances.
A LiDAR object detection method segments point cloud data into overhead and grounded clusters based on height thresholds to isolate specific signal regions.
Transforms sensor data to a common frame to resolve calibration errors and improve detection accuracy.
A BP neural network identifies weak seabed echoes in deeper water by stacking neighboring waveforms to boost signal-to-noise ratios.
A distance detection device uses dual optical modules to project pulse light beams into a strip-shaped scanning range.
Multi-eye lidar systems evaluate point cloud intensity homogeneity across shared fields of vision to identify object reflections and detect sensor blockages.
Mutual time difference feedback compensates for device processing delays to improve distance measurement precision.
A sensor device uses a flexible compensating element to enable relative movement between the housing and disc.
A sensor network creates virtual monitored planes around aircraft to detect proximity to hangar structures and trigger alarms.
A LiDAR sensor integrates a flood illumination source with collimated laser pulses to resolve parallax errors and improve near-field detection accuracy.
A global shutter sensor uses multiple detectors with offset exposure windows to capture reflected optical pulses for distance measurement.
A safety laser scanner uses an internal reference target to monitor light intensity distribution for moisture detection.
An optoelectronic sensor uses variable gain amplification zones to modulate sensitivity across different operating distances.
Segmented photodetector arrays reduce data bandwidth and system cost while maintaining millimeter-scale range precision.
A time of flight sensor module determines distance information for saturated regions using adjacent boundary data.
A processor fine-tunes histogram rising edge locations via pre-stored high-resolution templates to estimate target distances.
Preprocessing techniques compensate for signal distortions to improve measurement accuracy despite increased device complexity.
Segmenting I/Q channels via FFT and CFAR reduces computational load while improving image resolution and detection efficiency.
Curved SPAD substrate eliminates internal reflections and ghost images while enabling accurate distance measurement across wide angular ranges.
Segmenting the steering aperture into a mirror array reduces individual mirror mass and inertia, lowering actuation force while maintaining field of view.
Bidirectional delay lines enable precise time measurement without complex high-frequency clocking infrastructure.
Spatial temporal weighting adjusts SPAD time-of-flight counts to mitigate saturation and ambient light interference, improving distance estimation accuracy.
Classifying LiDAR returns beyond glancing angle distance resolves processing complexity and localization dependency in autonomous vehicle obstacle detection.
A coherent infrared light source array generates interference patterns to reconstruct three-dimensional images.
Segmented CAPD pixels with variable resistance compensate for IR drop noise to ensure uniform signal intensity across the image sensor.
A range imaging apparatus directs segmented optical beam stripes to specific single photon avalanche detector elements.
A lidar sensor test device replaces mechanical alignment with a trigger detector and diffuser to simulate real-world scenarios.
A LiDAR transceiver emission module delays synchronization signals to generate fine jittering, while the receiving module superimposes histograms from multiple measurements.
A processing circuit uses FMCW-LiDAR velocity data to recognize stationary measurement points and generate accurate point cloud maps.
A frequency modulated continuous wave distance measuring device selects a measurement duration to limit mixed signal periods for enhanced accuracy.
Animated measurement mode visualization replaces text labels to resolve language independence and usability contradictions in laser rangefinders.
A reflection rate correction method extracts the start time of detecting a light pulse from photon flight statistics to determine distance.
A LiDAR system uses a scanning mirror to direct light onto specific photodetectors for passive blockage identification.
A mapping system generates geographic map layers from mobile LiDAR usage data to support location-based services.
Virtual aperture radar system predicts virtual sensor data from real echoes to resolve angle measurement contradictions in high-speed target detection.
Dynamic intensity adjustment distinguishes foreign material reflections from target signals to maintain measurement accuracy.
Spatially separated signal transmission paths minimize latency in autonomous driving obstacle detection, enabling 18 ms synchronization.
Segmented optical bodies guide reflected radiation to preserve signal quality despite installation distance variations, ensuring reliable deposit detection.
Virtual grid tiles classify LIDAR measurement points to reconstruct ground surface topology without voxel-based processing.
Segmenting the FMCW chirp into up, down, and flat regions allows direct Doppler shift detection, resolving velocity range ambiguity at high relative speeds.
A cluster trajectory orientation process estimates heading and velocity of moving targets using principal component analysis on reflection data.
A laser ranging device uses electromagnetic induction for rotation and photoelectric conversion for data transmission.
A handheld imaging system combines time-of-flight and stereo data to generate a complete depth map.
A distance measurement device uses a controller to set random delay times for pulse light emission, reducing interference between multiple sensors.
Alternating pulse periods resolves range ambiguity errors by distinguishing near and far targets without increasing control complexity.
Segmented transmitter groups enable ultra-wide field of view coverage beyond 120 degrees while reducing energy consumption.