Lsi Corporation

Avago Technologies General IP (singapore) Pte. Ltd.

Baidu USA LLC

Agilent Technologies, Inc.

Arris Enterprises LLC

Avago Technologies International Sales Pte. Limited

Ruckus Wireless, Inc.

Yfind Technologies Pte. Ltd.

Yang Han

Shaohua Yang

Zongwang Li

Fan Zhang

Chung-Li Wang

Xuebin Wu

Weijun Tan

Yaoming Shen

Changyou Xu

Yuan Xing Lee

Wu Chang

Xiangfei Zhou

Hao Zhong

Kiran Kumar Gunnam

Bruce Alexander Wilson

Anatoli Aleksandrovich Bolotov

Mikhail I Grinchuk

Tianjia Sun

Yu Kou

Dan Liu

Lav D Ivanovic

Kaichi Zhang

See Ho Ting

Shu Li

Rui Cao

George Mathew

Wei Zhang

Ming Jin

Ivan Leonidovich Mazurenko

Lei Chen

Charles D Hoke

Richard Paul Tella

Christopher Ryan Moon

Andrew Ghetler

Denis Vladimirovich Zaytsev

Adam Kleczewski

Keke Liu

Lakshmi Nagarajan

Denis Vasilievich Parfenov

Jiayi Chen

Zhi Kai Chen

Haitao Xia

Avi Steiner

Yong Wang

Nenad Miladinovic

Nils Graef

Miao Zhu

Paul G Filseth

Alexander Alexandrovich Petyushko

Dmitry Nicolaevich Babin

Qi Zuo

Yuqing Yang

Kaitlyn T Nguyen

Sancar Kunt Olcay

Madhusudan Kalluri

Alexander Borisovich Kholodenko

Yoon Liong Liow

Yequn Zhang

Yu Chin Fabian Lim

Ilango Purushothaman

Yuri Beregovski

Dower Cameron Bricker

Koteswar Rao Mellachervu

Shao Pin Hoo

Jiesheng Jason Cheow

Choong Yong Koh

Anantha Raman Krishnan

SeeHo Ting

Anatoli A Bololov

In one embodiment, a light detection and range (LIDAR) device includes an array of light transmitting and receiving (TX/RX) units arranged to sense a physical range associated with a target. Each of the light TX/RX units includes a mounting board having a light pass-through opening and a light emitter mounted adjacent to the light pass-through opening. The light emitter is configured to emit a light beam towards the target according to a transmitting path. The LIDAR device further includes a light detector positioned behind the mounting board to receive at least a portion of the light beam reflected from the target through the light pass-through opening according to a light receiving path. The light transmitting path and the light receiving path are substantially in parallel and close to each other.

Light detection and range (LIDAR) device with component stacking for coaxial readout without splitter mirror for autonomous driving vehicles

In one embodiment, a LIDAR device of an autonomous driving vehicle (ADV) includes an array of light emitters to emit a number of light beams to sense a physical range associated with a target. The LIDAR device further includes a slope mirror having a slope surface and a flat surface supported by a rotatable platform. The rotatable platform is configured to rotate with respect to a vertical axis perpendicular to the flat surface. The light emitters are configured to project the light beams onto the slope surface of the slope mirror, which are deflected towards the target. The slope mirror rotates along with the rotatable platform while the array of light emitters remains steady. The LIDAR device further includes one or more light detectors to receive at least a portion of the light beams reflected from the target.

Light detection and range (LIDAR) device with a single spinning mirror for autonomous driving vehicles

In one embodiment, a three-dimensional LIDAR system includes a light source (e.g., laser) to emit a light beam (e.g., a laser beam) to sense a physical range associated with a target. The system includes a camera and a light detector (e.g., a flash LIDAR unit) to receive at least a portion of the light beam reflected from the target. They system includes a dichroic mirror situated between the target and the light detector, the dichroic mirror configured to direct the light beam reflected from the target to the light detector to generate a first image, wherein the dichroic mirror further directs optical lights reflected from the target to the camera to generate a second image. The system includes an image processing logic coupled to the light detector and the camera to combine the first image and the second image to generate a 3D image.

3D lidar system using a dichroic mirror for autonomous driving vehicles

A two dimensional (2D) LIDAR scanning system that uses a combination of a rotating polygonal mirror and a rotatable prism to scan an area of an object. The polygonal mirror and prism are rotated in combination to generate a scanning pattern. A pulsed laser is directed to the polygonal mirror and the prism is held in a fixed position. The polygonal mirror is then incremented a plurality of times to generate a scan line of LIDAR data. The prism is then incremented and a next scan line, e.g., up or down from the first scan line, is generated. An avalanche photodiode (APD) can read the reflections of objects for each scan point. Object reflections can be directed to the APD using either a polarizing beam splitter with a quarter wave plate, or a 50-50 beam splitter.

LIDAR device with polygon-shape mirror and prism for autonomous driving vehicles

In one embodiment, a LIDAR device of an autonomous driving vehicle (ADV) includes a light emitter to emit a light beam towards a target, wherein at least a portion of the light beam is reflected from the target. The LIDAR device further includes an optical sensing unit including a first photodetector and a second photodetector. The first photodetector is a different type of photodetector from the second photodetector, where the optical sensing unit is to receive the portion of the light beam reflected from the target. When the optical sensing unit receives the portion of the light beam, the first photodetector generates a first optical sensor output signal and the second photodetector generates a second optical sensor output signal. The LIDAR device further includes a first circuitry portion to generate an intensity signal indicative of an intensity of the received portion of the light beam responsive to the first optical sensor output signal. The LIDAR device further includes a second circuitry portion to generate a time of flight (ToF) signal indicative of a ToF of the emitted light beam responsive to the second optical sensor output signal.

Light detection and range (LIDAR) device with SPAD and APD sensors for autonomous driving vehicles

A LIDAR scanning system uses a combination of a time-to-digital conversion (TDC) device and a multi-pixel photon counter (MPPC) to determine the peak location (time) and magnitude of a reflection of a laser beam off of an object. A configurable trigger threshold of the TDC indicates that a sufficient number of MPPC pixels have triggered that the peak detection module should begin sampling and storing MPPC counts of triggered pixels. When the light received from the reflected laser beam falls below the trigger threshold of the TDC, the MPPC stops sampling the MPPC counts. The peak magnitude of the reflection of the laser beam is determined from the highest sample count of the MPPC. A time at which the peak magnitude occurred is determined as the midpoint of TDC trigger points. The peak magnitude MPPC count is correlated to an intensity value.

Lidar peak detection using time-to-digital converter and multi-pixel photon counter for autonomous driving vehicles

During operation, a computer may compare values of at least one performance metric for access points in appropriate contexts to determine one or more temporal anomalies and/or one or more spatial anomalies for one or more of the access points. Then, the computer may generate one or more temporal anomaly events based at least in part on the one or more temporal anomalies and one or more spatial anomaly events based at least in part on the one or more spatial anomalies. Next, the computer may calculate one or more complex events based at least in part on two or more of the different anomalies. Moreover, the computer may evaluate the different anomalies, anomaly event and/or complex events to determine one or more insights about a problem in the network. Furthermore, the computer may perform a remedial action.

Access point performance monitoring and anomaly detection based on temporal and spatial anomalies

In one embodiment, a light detection and range (LIDAR) device includes a light source to emit a light beam to scan a range of orientations associated with a target scanning zone. The LIDAR device further includes a first microelectromechanical system (MEMS) mirror configured to receive and redirect the light beam towards to the target scanning zone. The first MEMs mirror is configured to tilt vertically and horizontally to redirect the light beam in a plurality of angles. The LIDAR device further includes a light detector to receive the light beam reflected from one or more objects located within the target scanning zone. The first MEMS mirror tilts multiple directions with respect to the light source to allow the light source to emit the light beam and the light detector to receive the reflected light beam to obtain multiple angular resolutions of the one or more objects.

LIDAR system with synchronized MEMS mirrors

In one embodiment, a LIDAR device of an autonomous driving vehicle (ADV) includes an array of light emitters to emit a number of light beams to sense a physical range associated with a target. The LIDAR device further includes a prism-shaped mirror assembly having a plurality of joining faces acting as reflective surfaces and a bottom base face. The rotatable platform is configured to rotate with respect to a vertical axis perpendicular to the bottom base face. The light emitters are configured to project the light beams onto the reflective surfaces of the mirror assembly, which are deflected towards the target. The mirror assembly rotates along with the rotatable platform while the array of light emitters remains steady. The LIDAR device further includes one or more light detectors to receive at least a portion of the light beams reflected from the target.

LIDAR 3D design using a polygon mirror

A two dimensional LIDAR scanning system uses a low sampling rate (250-500 MHz) analog to digital convertor (ADC) to sample an analog signal representing a reflection of a laser beam off of an object scanned by the LIDAR device. A splining method creates a representation of the analog signal using the sample points. The representation of the analog signal is used to detect a peak magnitude of the reflected laser beam and a time at which the peak magnitude occurred relative to the emission of the laser beam. A plurality of laser emitters and associated analog sensor outputs can be multiplexed into a single signal that is sequentially sampled by a single ADC with any sampling rate, at, e.g. 500 mega-samples per second. The plurality of samples of each analog signal are a representation of each analog signal generated from the plurality of samples using a splining method.

LIDAR peak detection using splines for autonomous driving vehicles

In order to accurately determine the location of an electronic device in an environment, a computer selects a set of received-signal-strength (RSS) values based on wireless communication between the electronic device and access points in sub-regions of the environment. This set includes a largest RSS value associated with a sub-region and at least two RSS values associated with neighboring sub-regions. Then, the computer calculates pairwise distance estimates of the location of the electronic device in the environment based on predefined locations of the access points associated with the set, one or more differences of pairs of RSS values in the set and a predetermined path-loss factor in the environment, where a given pair of RSS values includes the largest RSS value and one of the at least two RSS values. Furthermore, the computer determines the location of the electronic device in the environment based on the pairwise distance estimates.

Calibration-free location determination using wireless communication

An apparatus for decoding data includes a data decoding circuit configured to decode data encoded with an irregular low density parity check code based on a parity check matrix with non-uniform column weights, and at least one scaling circuit configured to scale values in the data decoding circuit with a scaling value that is dependent at least in part on a column weight of the likelihood values being scaled.

Irregular low density parity check processing system with non-uniform scaling

During operation, a computer may monitor values of at least one performance metric associated with packet communication by access points in a network. Then, the computer may compare current values of the performance metric for the access points with historical values of the performance metric for the access points within a temporal context in order to determine temporal anomaly scores for the access points. Moreover, the computer may compare the temporal anomaly scores of a group of access points in order to determine spatial temporal anomaly scores for the access points that indicate a significance of the temporal anomaly scores in a spatial context. Furthermore, when a spatial temporal anomaly score for an access point meets a detection criterion, the computer system may identify the current value of the performance metric for the access point as an anomaly. Next, the computer system may perform a remedial action based on the identified anomaly.

Anomaly detection based on performance indicators

An imaging scanner and a method for using the same are disclosed. The scanner includes a variable attenuator adapted to receive a light beam generated by a MIR laser and that generates an attenuated light beam therefrom characterized by an attenuation level. The scanner includes an optical assembly that focuses the attenuated light beam to a point on a specimen. A light detector measures an intensity of light leaving the point on the specimen, the light detector being characterized by a detector dynamic range. A controller forms a plurality of MIR images from the intensity as a function of position on the specimen, each of the plurality of MIR images being formed with a different level of attenuation of the light beam. The controller combines the plurality of MIR images to generate a combined MIR image having a dynamic range greater than the detector dynamic range.

High dynamic range infrared imaging spectroscopy

An apparatus for processing data includes a decoder configured to iteratively decode codewords in a data block representing a number of user data sectors, the codewords including user data, folded parity sector data and error correction code parity bits. The folded parity sector data includes a number of parity checks, each with multiple user data bits from each of the data sectors, and with an offset between each of the user data bits from the data sectors determined at least in part by a number of folds in the data sectors. The apparatus also includes a scheduler configured to control decoding of the codewords based at least in part on the folded parity sector data.

Systems and methods for data processing with folded parity sector

Growing community of inventors

Sunnyvale, CA, United States of America

Yang Han