Velocity-based lidar segmentation separates particulate matter from solid objects, improving autonomous driving path decisions in low-visibility conditions.
By comparing image-based position estimates with commanded motion, this case calculates wind acting on a drone for stable flight in variable conditions.
Velocity, spatial, and intensity analysis helps lidar separate fog, dust, and mist from solid objects for safer AV path planning.
A tilted narrow-FOV camera improves disparity for features ahead, boosting 3D structure and pose estimation in mobile robot SLAM.
Optical frequency comb sensing tracks rotor wing distance and rotation to predict UAV ascent, turning, and attitude changes more accurately.
By splitting interference signals, shifting each in frequency, and combining FFT results, this case improves distance accuracy without more sampling points.
Time-stretching dispersion fibers and Mach-Zehnder modulation reduce Doppler-signal frequency pressure for conventional oscilloscope capture.
This case uses emitter-receiver light travel time and the speed of light to measure body velocity without GPS or external motion.
A data processing device aggregates line-of-sight wind-speed values from multiple laser radars to calculate continuous wind vectors.
A photonic fence uses a backlight source and imager to capture images of airborne organisms for biological property identification.
A speed sensor uses a liquid crystal lens and imaging device to calculate velocity from voltage changes.
Frequency modulation in a LIDAR system achieves precise spatial resolution without complex hardware components.
Array camera module generates depth maps to guide a separate conventional video camera, reducing computational load and power consumption.
Liquid-immersion velocity interferometers adjust etalon length via piezoelectric actuators to resolve fixed sensitivity constraints.
Heterodyne interferometric system measures rotation using phase differences between opposite chirality probe beams.
A system-on-chip light sensing device performs on-chip image data processing at high sampling rates.
A ViLDAR system estimates vehicle speed using received LED light intensity variations and linear least square fitting methods.
External optical imaging sensors detect handrail surface movement directly, eliminating accuracy errors from roller sliding and simplifying installation.
Merging 3D lidar depth measurements with 2D video images resolves face contour detection accuracy despite varying skin colors and lighting conditions.