Distortion in temporal sensor tracks is used to infer object velocity and bounding boxes, improving autonomous vehicle perception accuracy.
Adjacent storage diodes and alternating modulation gates speed charge transfer, cut temporal noise, and improve TOF depth precision.
Shared processing of multiple polarization return signals helps LIDAR identify materials while reducing duplicated electronics and ADC count.
Rear-facing FMCW LIDAR on the tractor tracks trailer yaw, roll, pitch, and position to trigger corrective action before instability grows.
A polar occupancy grid and probabilistic motion model improve pedestrian path prediction accuracy while preserving interpretability for AV collision avoidance.
A SPAD correlation sensor measures LED-coded light delay to produce distance images with lower computation, power use, and integration cost.
Adaptive LiDAR thresholding uses repeated comparator outputs to reject solar noise while preserving detection of distant or low-reflectivity objects.
A split coherent optical path enlarges LiDAR reception aperture and reduces crosstalk, improving echo energy for more accurate speed and distance sensing.
Two LiDAR sensors compare clustered range data to suppress fog, snow, exhaust, and debris returns that can mislead vehicle navigation.
Modality-based sensor plugins normalize and validate radar, lidar, and camera data before grid map fusion for more reliable autonomous control.
A prismatic-metalized reflective surface boosts radar, lidar, and camera returns from cyclists and pedestrians to improve collision avoidance.
Polarization-diverse reflections are handled through shared transform processing, reducing duplicate electronics while preserving LIDAR material identification.
A split secondary beam is directed toward the receive path to widen near-field coverage, reduce parallax error, and improve object detection.
Filters, adaptive emission control, and shuttering protect LIDAR from external light that can cause detector damage and false scan data.
An asymmetrical loss model separates out-of-plane radar returns from in-plane Doppler data to improve vehicle velocity estimation.
Vehicle strobe pulses and passive retroreflectors replace heavier radar hardware to guide UAM aircraft to specific landing pads.
A reflective periscope extends LIDAR coverage into ultra-nearfield blind spots, improving object detection around autonomous vehicles.
Frequency-modulated lidar with coherent detection improves range and velocity sensing in bright sunlight while reducing crosstalk and self-interference.
A polarization grating switches one laser beam between multiple scanners for precise routing, faster scanning, and stronger LiDAR signal quality.
Processors write lidar photodetector data into predetermined stream locations, avoiding shared buffers to cut latency and storage.
Two side-mounted radar sensors create overlapping and lateral coverage to cut sensor cost while preserving ACC and cross-traffic alerts.
Radar Doppler updates infant object tracks before lidar history matures, cutting velocity estimation latency in autonomous sensing.
On-chip monitoring and delay-line calibration replace bulky interferometers and mechanical steering to keep FMCW LiDAR chirps linear.
Processes region-of-interest data before a full lidar or rolling-shutter scan completes, cutting latency and compute load for faster vehicle decisions.
A reference channel estimates phase noise, drift, and chirp offsets in FMCW LiDAR, then corrects target signals to improve range and velocity accuracy.
Short laser pulses and segmented detection windows improve long-range LIDAR precision while reducing frames and response time.
LiDAR point clouds are turned into aerial lane and vehicle references to plan autonomous routes without HD maps or GPS.
4D radar point clouds are filtered and compressed into map templates to localize vehicles reliably where GPS and LiDAR struggle.
Aligned LiDAR bounding boxes and object dynamics help reject ghost objects, avoiding unnecessary braking while maintaining stable vehicle control.
Adaptive LiDAR thresholding cuts false detections from solar radiation and noise while preserving detection of distant, low-reflectivity objects.
A two-part vehicle sensor mount uses linear evasive motion and an elastic reset element to reduce collision injury risk without losing sensor position.
Coherent Doppler LiDAR uses scan-based velocity correction to resolve Doppler ambiguity and improve vehicle odometry when navigation is unreliable.
Dual laser distance sensors and vehicle motion data replace a laser scanner to generate real-time gradient signals with lower system complexity.
A matrix-addressable VCSEL array replaces mechanical scanning to improve LIDAR reliability, compactness, and field-of-view control.
A transitional metaspin moves the lidar temporal seam during direction changes, preserving continuous perception and prediction data.
Locally retraced scan lines let lidar focus higher-resolution time-of-flight measurement where needed without scanning the full field at maximum complexity.
An adaptive optical shutter narrows receiver field of view to cut ambient light noise and extend solid-state LiDAR range.
A prismatic-metalized reflective surface boosts radar, camera, and lidar returns from cyclists and pedestrians for more reliable collision avoidance.
Optical grating beam steering replaces unreliable mechanics in FMCW LIDAR, enabling lower-cost wide-angle road debris detection.
Separate high-precision and high-recall sensing cuts duplicate detections, speeding trajectory planning for autonomous vehicles.
An intervention gate filters false hazard detections across redundant sensing paths to avoid unnecessary braking and unsafe reactions.
Virtual box and track correction help autonomous vehicles identify an occluded pre-preceding vehicle and avoid path-setting errors.
Optical isolators in a LiDAR power distribution network suppress back reflections by coherent interference, protecting amplifiers and improving ranging reliability.
Radar Doppler wheel detection fused with lidar data improves close-range target vehicle tracking for more accurate collision-relevant speed and position data.
A protection circuit detects risky modulated-beam conditions and attenuates amplifier input to prevent SBS damage in high-power LiDAR.
Doppler-assisted coherent LiDAR adds radial velocity to single-frame point clouds, separating nearby moving objects for AV tracking.
Frequency-modulated LIDAR scanning improves long-range object and velocity detection while resisting sunlight, crosstalk, and self-interference.
Temporarily damping photodiode sensitivity lets LiDAR extend object detection range and reliability while staying within eye safety limits.
Multiple LiDAR point sets are projected and compared to adjust sensor separation, improving object identification in vehicle control.
Quantum entanglement-assisted spread-spectrum coding and phase conjugation enable covert sensing with precise range estimation and low detectability.
Probability-based histogram correction compensates SPAD pile-up and cross-talk to improve time-of-flight ranging accuracy without iterative selection.
A reference environment and vehicle localization enable objective validation of multiple environmental sensor calibrations with less manual effort.
Reference and target intermediate-frequency signal verification improves laser ranging accuracy while reducing repeated measurements.
Intensity-modulated reference light matched to the measurement range improves ToF reception sensitivity without raising average power.
FMCW LiDAR uses radial velocity data to segment aircraft features more accurately under ambient light while reducing image-processing effort.
By offsetting light spot position and timing around high-reflectivity areas, LiDAR reduces crosstalk and improves target detection accuracy.
Equal-spaced heating wire sections warm the LiDAR optical window evenly while limiting interference with scanned beam paths.
A row-wise pixel wiring layout lowers transfer-transistor on-voltage while suppressing charge transfer failures in indirect ToF sensing.
A MEMS polygon assembly steers LiDAR light with electrostatic or piezoelectric actuation to deliver 360-degree coverage without sync issues.
Orientation-based valid range filtering invalidates tilted sensor readings that would otherwise cause false obstacle detection.
Distinct wavelengths and delays let a radar controller separate echo signals from interference, improving speed, distance, and position measurements.
Thinned-out emission and per-area power control help a variable-power light array extend ranging distance without exceeding eye-safety limits.
A dual-polygon LiDAR path uses refracted beams to overcome coplanar scanning limits and collect more useful return data.
Combining the cover and bracket into one adjustable structure secures a glass-roof sensor while reducing roof holes and assembly complexity.
An interferometer splits LiDAR signals into reference and target paths, enabling frequency-shift detection of remote micrometer-scale movement.
Three-section return-waveform timing helps a homodyne FMCW Doppler lidar estimate IF signs for accurate range and velocity measurements.
Single-sensor detection can suffer noise across distances and conditions; neural fusion of ultrasonic, image, and RADAR features improves occupancy reliability.
Modulated illumination and a detector mask separate signal from noise, reducing blur while supporting higher-resolution 3D imaging of moving scenes.
A sensor-side synchronization generator and light-emission trigger reduce application-system processing load while coordinating added sensors.
Sliding spectrogram windows extract multiple radar measurements per modulation period, increasing point density without adding lasers.
Co-prime pulse and frame timing spreads photon arrivals across TDC intervals to average DNL and improve depth-map SNR.
Stray-light echo analysis identifies dirt or obstructions on a LiDAR light cover while separating cover reflections from target returns.
A three-region semiconductor structure separates absorption and charge collection to improve incident-light detection across pixel arrays.
Thresholded lidar channels compare return distributions to detect scattering media and extend visibility estimation beyond short range.
Raw LiDAR volumes slow mapping delivery; camera and INS georeferencing with onboard downsampling enables real-time visualization.
LiDAR ground points map into 2D regions for lane attributes, helping detect faded and merging lanes without manual parameter tuning.
Side lobes distort LiDAR distance readings; this case corrects sub-receiving signals against main-lobe strength before ToF correlation.