Electromagnetic Wave Reradiation TRIZ Cases

Raw sensor data is reused to validate fused object and free-space outputs, helping ADS detect perception failures before they affect driving.

Stored multi-sensor histories are compared with object and free-space outputs to flag unreliable vehicle perception before ADS decisions.

Noise source detectors identify interfering Lidar direction and timing, enabling point cloud masking that reduces cross-talk saturation and noise.

Co-packaging III-V modulators and amplifiers with silicon photonics improves LIDAR beam transmission, power, and manufacturing efficiency.

Artificial return points infer free, occluded, and probable free space from missing LiDAR detections, improving object tracking and navigation.

Motion distortion in temporal sensor scans is used to infer velocity, bounding boxes, and orientation for more accurate object tracking.

Shared output lines let time counters and pixel counters use the same readout path, cutting circuit area while preserving counter resolution.

Multi-direction sensor data is reconstructed into a real-time 3D vehicle surround view, improving environmental awareness during assisted driving.

Variable laser pulse duty cycle boosts long-range LiDAR detection at high vehicle speed while limiting heat buildup and accuracy loss.

Shared recharge control across multiple SPAD pixels cuts per-pixel circuit area, enabling smaller pixels and a higher aperture ratio.

Filters reflective sensor aberrations from vehicle path data to estimate ground height and roll more accurately for safer autonomous navigation.

Clock-synced radar data supports autonomous vehicle localization when GNSS is weak or unavailable, improving lane-level positioning reliability.

Fused radar and lidar wheel tracking improves close-range pre-crash data accuracy for earlier collision response.

Active phase and polarization control in a LIDAR pixel improves coupling and signal quality on diffuse surfaces for more accurate FMCW sensing.

Partially embedded side LiDAR and a top LiDAR expand vehicle sensing coverage while protecting sensors and preserving vehicle styling.

Reference road segments let production vehicle sensors correct road profile errors and improve localization, suspension, and steering.

Adjustable phase and amplitude control helps FMCW LIDAR pixels counter speckle, improve power coupling, and sharpen range and velocity sensing.

A layered semiconductor detector enables FMCW LiDAR differential beat-frequency detection without optical circulators, cutting noise and optics complexity.

Region-specific computation coefficients improve ToF depth accuracy by filtering noise and tuning distance measurement for near and far objects.

A variable-delay pixel switches between received-light pulses and ring-oscillator output to shorten photon detection dead time.

A pivotable mirror and oblique hood mount expand LiDAR field of view while protecting the sensor for real-time obstacle scanning.

Combined pulsed and continuous optical signals let one LiDAR measure range and instantaneous velocity directly with better consistency.

An isolation structure separates high-voltage APDs from adjacent low-voltage circuits, reducing cross-talk and parasitics to improve bandwidth and SNR.

Adaptive switching between onboard and external sensors improves moving object position and orientation calculation when calibration or equipment limits accuracy.

Filters reflective sensor artifacts to estimate a cleaner ground profile, improving object separation and trajectory validation for vehicles.

Velocity and elevation cues help merge split light-sensor detections into one vehicle, improving large-object recognition in slow traffic.

Multiple receive apertures and optical phased arrays improve coherent LiDAR ranging by reducing speckle sensitivity and transmit-receive leakage.

Independent sensor layers and data boxes let an autonomous vehicle rank redundant control decisions, avoid single-point failures, and cut processing power.

An opaque light barrier and hollow cavity simplify optical sensor packaging, improving isolation accuracy while reducing stress and crosstalk.

A two-bracket snap-fit mount isolates radar or lidar sensors from vehicle shock and vibration while keeping accurate positioning.

Discrete drivable-area exit points help predict uncertain road-user paths and guide autonomous vehicles to avoid collisions.

Map-guided goal selection steers an autonomous vehicle sensor toward occluded or critical path areas to improve obstacle detection and navigation.

An integrated scanner reflector and optical module shortens the LiDAR path, cuts parts, and improves light reception and detection distance.

Separate measurement and test receiver regions detect excess light duration, helping optical monitors maintain eye safety and functional safety.

A lever-linked sensor mount retracts under longitudinal, lateral, or vertical impact forces, then springs back to protect vehicle sensors.

A VCSEL and SPAD share one package with MEMS reflectors to shrink 3D sensing hardware and reduce assembly complexity.

Combining lidar point clouds with pulse features helps classify phantom returns as drivable or not, reducing unnecessary avoidance maneuvers.

Multiple emission units with microlens and diffraction optics balance spot intensity and uniform irradiation for more accurate distance measurement.

A memory cell capacitor detects pixel saturation and triggers stop exposure to prevent overexposure and preserve depth sensing precision.

A movable mirror arrangement redirects a vehicle Lidar beam to cover rear and side space without rotating the sensor or losing front detection.

A sloped drain channel in a monolithic vehicle sensor housing directs liquid away from the chamber to keep LIDAR operation reliable in wet conditions.

An integrated transmit-receive optical module cuts blockage in the receiver path, improving light collection and LiDAR detection distance.

A stepped die pad and through-hole mounting keep emitting and receiving elements aligned while preventing adhesive short-circuits and lowering cost.

Shock and component-change triggers prompt targeted vehicle sensor recalibration to maintain alignment, reliability, and situational awareness.

When uphill ground shortens sensor coverage, radiation angles are adjusted from prior measurements to recover practical object detection range.

Contour and grid-map validation filters bushes and trees from LiDAR static objects to improve map matching and vehicle positioning accuracy.

Newer LiDAR shots are weighted more heavily during frame accumulation to reduce moving-object distortion and improve distance accuracy.

Adaptive attenuation limits SPAD pile-up distortion under bright ambient light, improving single-photon depth precision outdoors.

When a trailer is detected, the sensor lowers probe power and shifts detection area to suppress multipath reflections behind the vehicle.

A curved photoconductive sensor with simplified lens transfer enables accurate 3D object position detection with fewer optical components.

Combining orthogonal polarization beams into a single spatial mode resolves receive path losses, enabling simultaneous range and velocity measurement.

Optical delay lines sequence channel signals to a single analog-to-digital converter, eliminating component duplication and reducing manufacturing costs.

A radar apparatus selects an operation mode with a specific detection distance to adjust transmission wave parameters.

Replacing contact sensors with optical detection eliminates mechanical wear while maintaining high measurement precision for engine control systems.

A photodetector design uses a light detection region larger than the optical projection to accommodate positional deviations.