Thermal Imaging for Self-Driving Cars

The present disclosure relates to systems and methods that utilize machine learning techniques to improve object classification in thermal imaging systems. In an example embodiment, a method is provided. The method includes receiving, at a computing device, one or more infrared images of an environment. The method additionally includes, applying, using the computing device, a trained machine learning system on the one or more infrared images to determine an identified object type in the environment by at least: determining one or more prior thermal maps associated with the environment; using the one or more prior thermal maps and the one or more infrared images, determining a current thermal map associated with the environment; and determining the identified object type based on the current thermal map. The method also includes providing the identified object type using the computing device.

Light Detection and Ranging (Lidar) Device having a Light-Guide Manifold

Example embodiments relate to light detection and ranging (lidar) devices having a light-guide manifold. An example lidar device includes a transmit subsystem. The transmit subsystem includes a light emitter. The transmit subsystem also includes a light-guide manifold optically coupled to the light emitter. Further, the transmit subsystem includes a telecentric lens assembly optically coupled to the light-guide manifold. The lidar device also includes a receive subsystem. The receive subsystem includes the telecentric lens assembly. The receive subsystem also includes an aperture plate having an aperture defined therein. The aperture plate is positioned at a focal plane of the telecentric lens assembly. Further, the receive subsystem includes a silicon photomultiplier (SiPM) positioned to receive light traveling through the aperture. 1. A light detection and ranging (lidar) device comprising: a light emitter;', 'a light-guide manifold optically coupled to the light emitter; and', 'a telecentric lens assembly optically coupled to the light-guide manifold; and, 'a transmit subsystem comprising the telecentric lens assembly;', 'an aperture plate having an aperture defined therein, wherein the aperture plate is positioned at a focal plane of the telecentric lens assembly; and', 'a silicon photomultiplier (SiPM) positioned to receive light traveling through the aperture., 'a receive subsystem comprising2. The lidar device of claim 1 ,wherein the light-guide manifold comprises an optical waveguide, andwherein the light-guide manifold is positioned to direct light received from the light emitter to the telecentric lens assembly through total internal reflection.3. The lidar device of claim 1 ,wherein the telecentric lens assembly is positioned to receive light signals from the light-guide manifold and transmit the light signals toward an environment outside of the lidar device, andwherein the telecentric lens assembly is positioned to receive light signals reflected from ...

Array of Light Detectors with Corresponding Array of Optical Elements

Example embodiments relate to arrays of light detectors with a corresponding array of optical elements. An example embodiment includes a light detection and ranging (LIDAR) system. The LIDAR system includes an array of light detectors. The LIDAR system also includes a shared imaging optic. Further, the LIDAR system includes an array of optical elements positioned between the shared imaging optic and the array of light detectors. Each light detector in the array of light detectors is configured to detect a respective light signal from a respective region of a scene. Each respective light signal is transmitted via the shared imaging optic and modified by a respective optical element in the array of optical elements based on at least one aspect of the scene. 1. A light detection and ranging (LIDAR) system comprising:an array of light detectors;a shared imaging optic; andan array of optical elements positioned between the shared imaging optic and the array of light detectors,wherein each light detector in the array of light detectors is configured to detect a respective light signal from a respective region of a scene, andwherein each respective light signal is transmitted via the shared imaging optic and modified by a respective optical element in the array of optical elements based on at least one aspect of the scene.2. The LIDAR system of claim 1 ,wherein a first region of the respective regions of the scene is separated from the array of light detectors by a first distance,wherein a second region of the respective regions of the scene is separated from the array of light detectors by a second distance,wherein the first distance is different than the second distance,wherein a first light detector in the array of light detectors is configured to detect a first respective light signal from the first region,wherein a second light detector in the array of light detectors is configured to detect a second respective light signal from the second region,wherein a first ...

LIDAR Systems with Multi-faceted Mirrors

Example embodiments relate to LIDAR systems with multi-faceted mirrors. An example embodiment includes a LIDAR system. The system includes a multi-faceted mirror that includes a plurality of reflective facets, which rotates about a first rotational axis. The system also includes a light emitter configured to emit a light signal toward one or more regions of a scene. Further, the system includes a light detector configured to detect a reflected light signal. In addition, the system includes an optical window positioned between the multi-faceted mirror and the one or more regions of the scene such that light reflected from one or more of the reflective facets is transmitted through the optical window. The optical window is positioned such that the optical window is non-perpendicular to the direction toward which the light emitted along the optical axis is directed for all angles of the multi-faceted mirror.

Beam Homogenization for Occlusion Resistance

Example embodiments relate to beam homogenization for occlusion avoidance. One embodiment includes a light detection and ranging (LIDAR) device. The LIDAR device includes a transmitter and a receiver. The transmitter includes a light emitter. The light emitter emits light that diverges along a fast-axis and a slow-axis. The transmitter also includes a fast-axis collimation (FAC) lens optically coupled to the light emitter. The FAC lens is configured to receive light emitted by the light emitter and reduce a divergence of the received light along the fast-axis of the light emitter to provide reduced-divergence light. The transmitter further includes a transmit lens optically coupled to the FAC lens. The transmit lens is configured to receive the reduced-divergence light from the FAC lens and provide transmit light. The FAC lens is positioned relative to the light emitter such that the reduced-divergence light is expanded at the transmit lens.

Lubricating device

Hydraulic pump

Array of light detectors with corresponding array of optical elements

Example embodiments relate to arrays of light detectors with a corresponding array of optical elements. An example embodiment includes a light detection and ranging (LIDAR) system. The LIDAR system includes an array of light detectors. The LIDAR system also includes a shared imaging optic. Further, the LIDAR system includes an array of optical elements positioned between the shared imaging optic and the array of light detectors. Each light detector in the array of light detectors is configured to detect a respective light signal from a respective region of a scene. Each respective light signal is transmitted via the shared imaging optic and modified by a respective optical element in the array of optical elements based on at least one aspect of the scene.

LIDAR systems with multi-faceted mirrors

Example embodiments relate to LIDAR systems with multi-faceted mirrors. An example embodiment includes a LIDAR system. The system includes a multi-faceted mirror that includes a plurality of reflective facets, which rotates about a first rotational axis. The system also includes a light emitter configured to emit a light signal toward one or more regions of a scene. Further, the system includes a light detector configured to detect a reflected light signal. In addition, the system includes an optical window positioned between the multi-faceted mirror and the one or more regions of the scene such that light reflected from one or more of the reflective facets is transmitted through the optical window. The optical window is positioned such that the optical window is non-perpendicular to the direction toward which the light emitted along the optical axis is directed for all angles of the multi-faceted mirror.

Temporally Modulated Light Emission for Defect Detection in Light Detection and Ranging (Lidar) Devices and Cameras

Example embodiments relate to temporally modulated light emission and defect detection in light detection and ranging (lidar) devices and cameras. An example embodiment includes a method. The method includes detecting, by a first detector via an optical component, a background signal corresponding to a surrounding environment. The method also includes illuminating, by a first light source, a first portion of the optical component with a first light signal. Additionally, the method includes detecting, by the first detector when one or more defects are present in a body of the first portion of the optical component or on a surface of the first portion of the optical component, the first light signal. Further, the method includes determining, by a computing device, when one or more defects are present in the body of the first portion of the optical component or on the surface of the first portion of the optical component.

LIDAR Systems with Multi-faceted Mirrors

Example embodiments relate to LIDAR systems with multi-faceted mirrors. An example embodiment includes a LIDAR system. The system includes a multi-faceted mirror that includes a plurality of reflective facets, which rotates about a first rotational axis. The system also includes a light emitter configured to emit a light signal toward one or more regions of a scene. Further, the system includes a light detector configured to detect a reflected light signal. In addition, the system includes an optical window positioned between the multi-faceted mirror and the one or more regions of the scene such that light reflected from one or more of the reflective facets is transmitted through the optical window. The optical window is positioned such that the optical window is non-perpendicular to the direction toward which the light emitted along the optical axis is directed for all angles of the multi-faceted mirror.

Beam homogenization for occlusion resistance

Example embodiments relate to beam homogenization for occlusion avoidance. One embodiment includes a light detection and ranging (LIDAR) device. The LIDAR device includes a transmitter and a receiver. The transmitter includes a light emitter. The light emitter emits light that diverges along a fast-axis and a slow-axis. The transmitter also includes a fast-axis collimation (FAC) lens optically coupled to the light emitter. The FAC lens is configured to receive light emitted by the light emitter and reduce a divergence of the received light along the fast-axis of the light emitter to provide reduced-divergence light. The transmitter further includes a transmit lens optically coupled to the FAC lens. The transmit lens is configured to receive the reduced-divergence light from the FAC lens and provide transmit light. The FAC lens is positioned relative to the light emitter such that the reduced-divergence light is expanded at the transmit lens.

Beam homogenization for occlusion resistance

Lidar systems with multi-faceted mirrors

Example embodiments relate to LIDAR systems with multi-faceted mirrors. An example embodiment includes a LIDAR system. The system includes a multi-faceted mirror that includes a plurality of reflective facets, which rotates about a first rotational axis. The system also includes a light emitter configured to emit a light signal toward one or more regions of a scene. Further, the system includes a light detector configured to detect a reflected light signal. In addition, the system includes an optical window positioned between the multi-faceted mirror and the one or more regions of the scene such that light reflected from one or more of the reflective facets is transmitted through the optical window. The optical window is positioned such that the optical window is non-perpendicular to the direction toward which the light emitted along the optical axis is directed for all angles of the multi-faceted mirror.

Temporally modulated light emission for defect detection in light detection and ranging (lidar) devices and cameras

Example embodiments relate to temporally modulated light emission and defect detection in light detection and ranging (lidar) devices and cameras. An example embodiment includes a method. The method includes detecting, by a first detector via an optical component, a background signal corresponding to a surrounding environment. The method also includes illuminating, by a first light source, a first portion of the optical component with a first light signal. Additionally, the method includes detecting, by the first detector when one or more defects are present in a body of the first portion of the optical component or on a surface of the first portion of the optical component, the first light signal. Further, the method includes determining, by a computing device, when one or more defects are present in the body of the first portion of the optical component or on the surface of the first portion of the optical component.

多面ミラーをともなうｌｉｄａｒシステム

【課題】例示的な実施形態は、多面ミラーをともなうＬＩＤＡＲシステムに関する。【解決手段】例示的な実施形態は、ＬＩＤＡＲシステムを含む。本システムは、第１の回転軸の周りを回転する複数の反射面を含む多面ミラーを含む。本システムはまた、シーンの１つ以上の領域に向けて光信号を放出するように構成された発光体を含む。さらに、本システムは、反射光信号を検出するように構成された光検出器を含む。さらに、本システムは、多面ミラーとシーンの１つ以上の領域との間に位置付けられた光学窓を含み、その結果、反射面のうちの１つ以上から反射された光は、光学窓を透過する。光学窓は、光学窓が、光軸に沿って放出された光が多面ミラーのすべての角度において向けられる方向に非垂直であるように位置付けられている。【選択図】図９Ａ

Lidar systems with multi-faceted mirrors

Example embodiments relate to LIDAR systems with multi-faceted mirrors. An example embodiment includes a LIDAR system. The system includes a multi-faceted mirror that includes a plurality of reflective facets, which rotates about a first rotational axis. The system also includes a light emitter configured to emit a light signal toward one or more regions of a scene. Further, the system includes a light detector configured to detect a reflected light signal. In addition, the system includes an optical window positioned between the multi-faceted mirror and the one or more regions of the scene such that light reflected from one or more of the reflective facets is transmitted through the optical window. The optical window is positioned such that the optical window is non-perpendicular to the direction toward which the light emitted along the optical axis is directed for all angles of the multi-faceted mirror.

Grate shaking apparatus

Beam Homogenization for Occlusion Resistance

Example embodiments relate to beam homogenization for occlusion avoidance. One embodiment includes a light detection and ranging (LIDAR) device. The LIDAR device includes a transmitter and a receiver. The transmitter includes a light emitter. The light emitter emits light that diverges along a fast-axis and a slow-axis. The transmitter also includes a fast-axis collimation (FAC) lens optically coupled to the light emitter. The FAC lens is configured to receive light emitted by the light emitter and reduce a divergence of the received light along the fast-axis of the light emitter to provide reduced-divergence light. The transmitter further includes a transmit lens optically coupled to the FAC lens. The transmit lens is configured to receive the reduced-divergence light from the FAC lens and provide transmit light. The FAC lens is positioned relative to the light emitter such that the reduced-divergence light is expanded at the transmit lens.

Grate shaking apparatus

Calibration system for light detection and ranging (lidar) devices

Example embodiments relate to calibration systems for light detection and ranging (lidar) devices. An example calibration system includes a calibration target that includes a surface having at least one characterized reflectivity. The surface is configured to receive one or more calibration signals emitted by a lidar device along one or more optical axes when the lidar device is separated from the calibration target by an adjustable distance. The calibration system also includes at least one lens that modifies the one or more calibration signals. In addition, the system includes an adjustable attenuator configured to attenuate each of the one or more calibration signals to simulate, in combination with the at least one lens, a distance that is greater than the adjustable distance. Further, the system includes a calibration controller configured to analyze data associated with detected reflections of the one or more calibration signals.

Light detection and ranging (lidar) device having a light-guide manifold

Example embodiments relate -to light detection and ranging (lidar) devices having a light-guide manifold. An example lidar device inchides a transmit, subsystem. The transmit subsystem includes a light emitter. The transmit subsystem also includes a light-guide manifold optically coupled to the light emitter. Further, the transmit subsystem includes a telecentric lens assembly optically coupled to the liglit-guide manifold. The lidar device also includes a receive subsystem. The receive subsystem includes the telecentric lens assembly. Hie receive subsystem also includes an aperture plate having an aperture defined therein. The aperture plate is positioned at a focal plane of the telecentric lens assembly. Further, the receive subsystem includes a silicon photomultiplier (SiPM) positioned to receive light traveling through the aperture.

Structural toy locomotive and the like

Thermal Imaging for Self-Driving Cars

The present disclosure relates to systems and methods that utilize machine learning techniques to improve object classification in thermal imaging systems. In an example embodiment, a method is provided. The method includes receiving, at a computing device, one or more infrared images of an environment. The method additionally includes, applying, using the computing device, a trained machine learning system on the one or more infrared images to determine an identified object type in the environment by at least: determining one or more prior thermal maps associated with the environment; using the one or more prior thermal maps and the one or more infrared images, determining a current thermal map associated with the environment; and determining the identified object type based on the current thermal map. The method also includes providing the identified object type using the computing device.

Calibration system for light detection and ranging (lidar) devices

Example embodiments relate to calibration systems for light detection and ranging (lidar) devices. An example calibration system includes a calibration target that includes a surface having at least one characterized reflectivity. The surface is configured to receive one or more calibration signals emitted by a lidar device along one or more optical axes when the lidar device is separated from the calibration target by an adjustable distance. The calibration system also includes at least one lens that modifies the one or more calibration signals. In addition, the system includes an adjustable attenuator configured to attenuate each of the one or more calibration signals to simulate, in combination with the at least one lens, a distance that is greater than the adjustable distance. Further, the system includes a calibration controller configured to analyze data associated with detected reflections of the one or more calibration signals.