Abstract: One example method involves obtaining a plurality of scans of a field-of-view (FOV) of a light detection and ranging (LIDAR) device disposed inside a housing. Obtaining each scan of the plurality of scans comprises: transmitting, through a plurality of sections of the housing, a plurality of light pulses emitted from the LIDAR device in different directions toward the housing; and detecting a plurality of returning light pulses comprising reflected portions of the transmitted plurality of light pulses that are reflected back toward the LIDAR device. The method also involves detecting an obstruction that at least partially occludes the LIDAR device from scanning the FOV through the housing based on the plurality of scans.

Abstract: Systems and methods are disclosed to identify a presence of a volumetric medium in an environment associated with a LIDAR system. In some implementations, the LIDAR system may emit a light pulse into the environment, receive a return light pulse corresponding to reflection of the emitted light pulse by a surface in the environment, and determine a pulse width of the received light pulse. The LIDAR system may compare the determined pulse width with a reference pulse width, and determine an amount of pulse elongation of the received light pulse. The LIDAR system may classify the surface as either an object to be avoided by a vehicle or as air particulates associated with the volumetric medium based, at least in part, on the determined amount of pulse elongation.

Abstract: Systems and methods are disclosed to identify a presence of a volumetric medium in an environment associated with a LIDAR system. In some implementations, the LIDAR system may emit a light pulse into the environment, receive a return light pulse corresponding to reflection of the emitted light pulse by a surface in the environment, and determine a pulse width of the received light pulse. The LIDAR system may compare the determined pulse width with a reference pulse width, and determine an amount of pulse elongation of the received light pulse. The LIDAR system may classify the surface as either an object to be avoided by a vehicle or as air particulates associated with the volumetric medium based, at least in part, on the determined amount of pulse elongation.

Abstract: One example method involves obtaining a plurality of images using a camera located at a given position relative to a light detection and ranging device (LIDAR). A first image of the plurality may be indicative of a view, via one or more optical elements of the LIDAR, of a receiver of the LIDAR. The method also involves determining simulated detector positions for intercepting reflections of simulated light beams associated with a plurality of light sources in a transmitter of the LIDAR. The method also involves determining one or more alignment offsets between the transmitter and the receiver based on at least the simulated detector positions and the plurality of images.

Abstract: Example embodiments relate to range calibration of light detectors. An example method includes emitting a first light signal toward a first region of a calibration target having a first reflectivity and detecting a reflection of the first light signal. The detected reflection of the first light signal has a first intensity. The example method further includes emitting a second light signal toward a second region of the calibration target having a second reflectivity and detecting a reflection of the second light signal from the second region of the calibration target. The detected reflection of the second light signal has a second intensity. Still further, the example method includes determining a first apparent range based on the detected reflection of the first light signal, determining a second apparent range based on the detected reflection of the second light signal, and generating walk-error calibration data for the detector.

Abstract: Example embodiments relate to range calibration of light detectors. An example method includes emitting a first light signal toward a first region of a calibration target having a first reflectivity and detecting a reflection of the first light signal. The detected reflection of the first light signal has a first intensity. The example method further includes emitting a second light signal toward a second region of the calibration target having a second reflectivity and detecting a reflection of the second light signal from the second region of the calibration target. The detected reflection of the second light signal has a second intensity. Still further, the example method includes determining a first apparent range based on the detected reflection of the first light signal, determining a second apparent range based on the detected reflection of the second light signal, and generating walk-error calibration data for the detector.

Abstract: Systems and methods are disclosed to identify a presence of a volumetric medium in an environment associated with a LIDAR system. In some implementations, the LIDAR system may emit a light pulse into the environment, receive a return light pulse corresponding to reflection of the emitted light pulse by a surface in the environment, and determine a pulse width of the received light pulse. The LIDAR system may compare the determined pulse width with a reference pulse width, and determine an amount of pulse elongation of the received light pulse. The LIDAR system may classify the surface as either an object to be avoided by a vehicle or as air particulates associated with the volumetric medium based, at least in part, on the determined amount of pulse elongation.

Abstract: Methods and systems for laser point clouds are described herein. The method and system may include receiving, at a computing device, lidar data indicative of an environment of a vehicle from a first lidar data source, where the lidar data includes a first plurality of data points indicative of locations of reflections from the environment and further includes a respective intensity for each data point. The method and system also include determining a first surface normal for at least a first data point of the first plurality of data points. The method and system further includes determining a first angle of incidence for the first data point based on the surface normal. Additionally, the method and system includes adjusting the intensity of the first data point based on the first angle of incidence to create a first adjusted intensity for the first data point.

Abstract: Systems and methods are disclosed to identify a presence of a volumetric medium in an environment associated with a LIDAR system. In some implementations, the LIDAR system may emit a light pulse into the environment, receive a return light pulse corresponding to reflection of the emitted light pulse by a surface in the environment, and determine a pulse width of the received light pulse. The LIDAR system may compare the determined pulse width with a reference pulse width, and determine an amount of pulse elongation of the received light pulse. The LIDAR system may classify the surface as either an object to be avoided by a vehicle or as air particulates associated with the volumetric medium based, at least in part, on the determined amount of pulse elongation.

Abstract: 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.

Abstract: The present disclosure relates to systems and methods that facilitate light detection and ranging operations. An example transmit block includes at least one substrate with a plurality of angled facets. The plurality of angled facets provides a corresponding plurality of elevation angles. A set of angle differences between adjacent elevation angles includes at least two different angle difference values. A plurality of light-emitter devices is configured to emit light into an environment along the plurality of elevation angles toward respective target locations so as to provide a desired resolution and/or a respective elevation angle. The present disclosure also relates to adjusting shot power and a shot schedule based on the desired resolution and/or a respective elevation angle.

Abstract: One example method involves obtaining a plurality of scans of a field-of-view (FOV) of a light detection and ranging (LIDAR) device disposed inside a housing. Obtaining each scan of the plurality of scans comprises: transmitting, through a plurality of sections of the housing, a plurality of light pulses emitted from the LIDAR device in different directions toward the housing; and detecting a plurality of returning light pulses comprising reflected portions of the transmitted plurality of light pulses that are reflected back toward the LIDAR device. The method also involves detecting an obstruction that at least partially occludes the LIDAR device from scanning the FOV through the housing based on the plurality of scans.

Abstract: A light detection and ranging (lidar) device may be coupled to a vehicle and configured to scan a surrounding environment to determine ranges to one or more objects in the surrounding environment of the vehicle. The lidar device may generate data that can be used to form a range image, which includes or is based on range data determined for the one or more objects. The lidar device may also generate data that can be used to form a corresponding background image, which includes background light intensity data that the lidar device measures during the scan. The background image or background image data may be used to add range data to the range image, correct range data in the range image, and/or evaluate the quality of the range data in the range image. In this way, the background image or background image data can be used to generate an enhanced range image that includes range data that is more comprehensive and/or more reliable than the range data included in the original range image.

Abstract: The present disclosure relates to light detection and ranging (LIDAR) devices and related methods of their use. An example LIDAR device includes a transmitter configured to transmit one or more light pulses into an environment of the LIDAR device via a transmit optical path. The LIDAR device also includes a detector configured to detect a first portion of the one or more transmitted light pulses and a second portion of the one or more transmitted light pulses, such that the detector receives at a first time the first portion of the one or more transmitted light pulses via an internal optical path within the LIDAR device and receives at a second time the second portion of the one or more transmitted light pulses via reflection by one or more objects in the environment of the LIDAR device. The second time occurs after the first time.

Abstract: 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.

Abstract: The present disclosure relates to systems and methods that facilitate light detection and ranging operations. An example transmit block includes at least one substrate with a plurality of angled facets. The plurality of angled facets provides a corresponding plurality of elevation angles. A set of angle differences between adjacent elevation angles includes at least two different angle difference values. A plurality of light-emitter devices is configured to emit light into an environment along the plurality of elevation angles toward respective target locations so as to provide a desired resolution and/or a respective elevation angle. The present disclosure also relates to adjusting shot power and a shot schedule based on the desired resolution and/or a respective elevation angle.

Abstract: A light detection and ranging (LIDAR) device includes a first light emitter, a second light emitter, a first light detector, and a second light detector, wherein the first light emitter is configured to emit light pulses in a first direction and the second light emitter is configured to emit light pulses in a second direction. During a scan of the LIDAR device, the first direction intersects an object at a first time and the second direction intersects the object at a second time. A relative speed of the object can be determined based on a first range to the object when the first direction intersects the object and a second range to the object when the second direction intersects the object.

Abstract: Systems and methods are described that relate to a light detection and ranging (LIDAR) device. The LIDAR device includes a fiber laser configured to emit light within a wavelength range, a scanning portion configured to direct the emitted light in a reciprocating manner about a first axis, and a plurality of detectors configured to sense light within the wavelength range. The device additionally includes a controller configured to receive target information, which may be indicative of an object, a position, a location, or an angle range. In response to receiving the target information, the controller may cause the rotational mount to rotate so as to adjust a pointing direction of the LIDAR. The controller is further configured to cause the LIDAR to scan a field-of-view (FOV) of the environment. The controller may determine a three-dimensional (3D) representation of the environment based on data from scanning the FOV.

Abstract: A vehicle is provided that includes one or more wheels positioned at a bottom side of the vehicle. The vehicle also includes a first light detection and ranging device (LIDAR) positioned at a top side of the vehicle opposite to the bottom side. The first LIDAR is configured to scan an environment around the vehicle based on rotation of the first LIDAR about an axis. The first LIDAR has a first resolution. The vehicle also includes a second LIDAR configured to scan a field-of-view of the environment that extends away from the vehicle along a viewing direction of the second LIDAR. The second LIDAR has a second resolution. The vehicle also includes a controller configured to operate the vehicle based on the scans of the environment by the first LIDAR and the second LIDAR.

Abstract: A vehicle is provided that includes one or more wheels positioned at a bottom side of the vehicle. The vehicle also includes a first light detection and ranging device (LIDAR) positioned at a top side of the vehicle opposite to the bottom side. The first LIDAR is configured to scan an environment around the vehicle based on rotation of the first LIDAR about an axis. The first LIDAR has a first resolution. The vehicle also includes a second LIDAR configured to scan a field-of-view of the environment that extends away from the vehicle along a viewing direction of the second LIDAR. The second LIDAR has a second resolution. The vehicle also includes a controller configured to operate the vehicle based on the scans of the environment by the first LIDAR and the second LIDAR.