Aeva, Inc.

Amol V Gole

Jose Krause Perin

Khachatur Armenyan

Gaylon R Lovelace

Youye Xie

Embodiments of the present disclosure include techniques for synchronizing certain components within a light scanning system in order to align periodicities and efficiently produce more reliable scan frames. For instance, embodiments include an optical source to transmit an optical beam modulated at a first periodicity, and an optical scanner to direct the optical beam at a second periodicity, and a signal processing system to perform periodic temporal alignments between the first periodicity and the second periodicity to produce stable grid points in region of interest (ROI). The system effectively removes the unaligned grid points and can be applied to any light detection and ranging (LiDAR) systems or other optical scanning applications.

Techniques for synchronization to improve scans in FMCW LiDAR systems

A light detection and ranging (LIDAR) system includes a processor and a memory. The memory stores a plurality of data points and stores instructions that cause the LIDAR system to: generate the plurality of data points associated with one or more return beams corresponding to one or more optical beams transmitted towards a target; perform a plurality of processing operations on the plurality of data points to generate a point cloud corresponding to the target, wherein a first processing operation of the plurality of processing operations is configured to output a pair of indices as input to a second processing operation of the plurality of processing operations, the pair of indices referring to memory locations of a first data point and a second data point of the plurality of data points, respectively; and calculate a range and a velocity of the target based on the point cloud.

Techniques for point cloud processing utilizing point indices

A light detection and ranging (LIDAR) system includes an optical receiver to generate a plurality of data points associated with one or more return beams from a target of the LIDAR system, a processor, and a memory. The memory stores the plurality of data points and stores instructions that cause the LIDAR system to: perform a processing operation on a first data point of the plurality of data points to determine a second data point of the plurality of data points with which to modify the first data point; generate, as output of the processing operation, a first index to a first memory location of the first data point and a second index to a second memory location of the second data point; and generate a point cloud corresponding to the target based on the first data point as modified by the second data point.

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Sunnyvale, CA, United States of America

Amol V Gole