Waymo LLC

Google Inc.

Luke Wachter

Pierre-yves Droz

Gaetan Pennecot

Samuel William Lenius

Anthony Scott Levandowski

Bernard G Fidric

Drew Eugene Ulrich

Daniel Gruver

William McCann

Dorel Ionut Iordache

Blaise Gassend

Benjamin T Ingram

Zachary Morriss

Rahim Pardhan

Scott McCloskey

Gil Shotan

Peter Avram

Pierre-Yves Droz

David Neil Hutchison

Alexander Patrick McCauley

Christian Lauterbach

Clayton Kunz

Zach Morriss

Mark Alexander Shand

Colin Andrew Braley

Xiaoxiang Hu

Joshua Ruizhi Wang

Ming Zou

Jiajun Zhu

Ralph Hamilton Shepard

Mingcheng Chen

David Schleuning

Jonathan Baldwin Dowdall

Chris Urmson

Ionut Iordache

Nathaniel Quillin

William Mccann

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.

Methods and systems for detecting obstructions on a sensor housing

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.

Variable beam spacing, timing, and power for vehicle sensors

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.

Vehicle with multiple light detection and ranging devices (LIDARs)

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.

Range calibration of light detectors

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.

LIDAR pulse elongation

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.

Long range steerable LIDAR system

An example system includes a light detection and ranging (LIDAR) device that scans a field-of-view defined by a pointing direction of the LIDAR device. The system also includes an actuator that adjusts the pointing direction of the LIDAR device. The system also includes a communication interface that receives timing information from an external system. The system also includes a controller that causes the actuator to adjust the pointing direction of the LIDAR device based on at least the received timing information.

Vehicle sensor synchronization using an external clock source

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.

LIDAR optics alignment system

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.

Computation of the angle of incidence of laser beam and its application on reflectivity estimation

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.

Array of light detectors with corresponding array of optical elements

Growing community of inventors

San Francisco, CA, United States of America

Luke Wachter