G01S7/499

TECHNIQUES FOR DETERMINING ORIENTATION OF A TARGET USING LIGHT POLARIZATION

A method is provided that transmits a beam of co-propagating, cross-polarized light to a target. The method receives return light reflected from the target, which includes a first polarization and a second polarization. The method splits the return light into a first output corresponding to the first polarization and a second output corresponding to the second polarization using a first beam splitter. The method directs the first output to a first detector and directs the second output to a second detector. The method generates, by the first detector, a first electrical signal corresponding to the first polarization, and generates, by the second detector, a second electrical signal corresponding to the second polarization. The method determines an orientation of the target based on the first electrical signal and the second electrical signal, and generates a point cloud based on the orientation of the target.

USE OF MULTIPLE STEERING MECHANISMS IN SCANNING

A LIDAR system has a beam steering mechanism and a signal steering mechanism that are each configured to steer within a field of view a system output signal that is output from the LIDAR system. A path of system output signal in the field of view has a contribution from the beam steering mechanism and the second mechanism. The contribution of the beam steering mechanism to the path is movement of the system output signal on a two-dimensional path back and forth across the field of view. The contribution of the signal steering mechanism to the path is movement of the system output signal transverse to the two-dimensional path contribution of the provided by the beam steering mechanism.

Method for inverting aerosol components using LiDAR ratio and depolarization ratio

A method for inverting aerosol components using a LiDAR ratio and a depolarization ratio, includes: S1. identifying sand dust, a spherical aerosol and a mixture of the sand dust and the spherical aerosol based on a depolarization ratio; S2. calculating a proportion of the sand dust in the mixture of the sand dust and the spherical aerosol; and S3. identifying soot and a water-soluble aerosol in the spherical aerosol based on a LiDAR ratio. In the present disclosure, only a wavelength with a polarization channel is needed, to identify the aerosol components, achieving high accuracy with low detection costs.

Laser detection and ranging device for detecting an object under a water surface
11467269 · 2022-10-11 · ·

A laser detection and ranging device for detecting an object under a water surface, the laser detection and ranging device having a laser transmitter being configured to modulate a laser beam by a binary pseudo-random coding sequence to obtain a modulated laser beam, and to transmit the modulated laser beam towards the water surface, a laser detector for detecting a reflected laser beam, the reflected laser beam forming a reflected version of the transmitted laser beam, and a processor for detecting the object under the water surface upon the basis of the reflected laser beam.

Laser detection and ranging device for detecting an object under a water surface
11467269 · 2022-10-11 · ·

A laser detection and ranging device for detecting an object under a water surface, the laser detection and ranging device having a laser transmitter being configured to modulate a laser beam by a binary pseudo-random coding sequence to obtain a modulated laser beam, and to transmit the modulated laser beam towards the water surface, a laser detector for detecting a reflected laser beam, the reflected laser beam forming a reflected version of the transmitted laser beam, and a processor for detecting the object under the water surface upon the basis of the reflected laser beam.

SEPARATION OF LIGHT SIGNALS IN A LIDAR SYSTEM
20230116435 · 2023-04-13 ·

A LIDAR system includes a LIDAR chip with a utility waveguide configured to guide an outgoing LIDAR signal and an incoming LIDAR signal. The incoming LIDAR signal includes light from the LIDAR output signal after an object located outside of the LIDAR system reflects the light from the LIDAR output signal. The LIDAR chip also includes a polarizing-beam splitter configured to receive the outgoing LIDAR signal and the incoming LIDAR signal and to separate the incoming LIDAR signal from the outgoing LIDAR signal.

Remote measurement of shallow depths in semi-transparent media

Through discrimination of the scattered signal polarization state, a lidar system measures a distance through semi-transparent media by the reception of single or multiple scattered signals from a scattered medium. Combined and overlapped single or multiple scattered light signals from the medium can be separated by exploiting varying polarization characteristics. This removes the traditional laser and detector pulse width limitations that determine the system's operational bandwidth, translating relative depth measurements into the conditions of two surface timing measurements and achieving sub-pulse width resolution.

Remote measurement of shallow depths in semi-transparent media

Through discrimination of the scattered signal polarization state, a lidar system measures a distance through semi-transparent media by the reception of single or multiple scattered signals from a scattered medium. Combined and overlapped single or multiple scattered light signals from the medium can be separated by exploiting varying polarization characteristics. This removes the traditional laser and detector pulse width limitations that determine the system's operational bandwidth, translating relative depth measurements into the conditions of two surface timing measurements and achieving sub-pulse width resolution.

Optical remote sensing systems for aerial and aquatic fauna, and use thereof

Optical remote sensing systems for quantifying aerial or aquatic fauna with respect to number of living organisms, such as animals, such as insects, birds, bats or aquatic organisms, and to biological specificity.

Optical remote sensing systems for aerial and aquatic fauna, and use thereof

Optical remote sensing systems for quantifying aerial or aquatic fauna with respect to number of living organisms, such as animals, such as insects, birds, bats or aquatic organisms, and to biological specificity.