VELOCITY ESTIMATION USING DOPPLER PER POINT LIDAR SYSTEMS

    公开(公告)号:US20240077614A1

    公开(公告)日:2024-03-07

    申请号:US18508808

    申请日:2023-11-14

    申请人: AEVA, INC.

    IPC分类号: G01S17/58 G01S7/48 G01S17/89

    摘要: A method of operating a light detection and ranging (LiDAR) system is provided that includes performing a scene measurement using a LiDAR sensor capable of measuring Doppler per point. The method also includes estimating a velocity of the LiDAR sensor with respect to static points within the scene based on the scene measurement. The method may also include compensating for the velocity of the LiDAR sensor and compensating for a Doppler velocity of the LiDAR sensor.

    TECHNIQUES FOR DOPPLER POINT SET REGISTRATION

    公开(公告)号:US20220404496A1

    公开(公告)日:2022-12-22

    申请号:US17706273

    申请日:2022-03-28

    申请人: AEVA, INC.

    摘要: A system and method including, predicting, using a sensor system, a first set of Doppler velocity information for a first point set to produce a first predicted set of Doppler velocity information for the first point set. The method includes determining one or more Doppler velocity errors based on the first predicted set of Doppler velocity information and a second set of Doppler velocity information measured for one or more points of the first point set. The method includes producing, in view of the one or more Doppler velocity errors, a transform that aligns the one or more points of the first point set with one or more points of a second point set to produce one or more scan frames.

    Techniques for doppler point set registration

    公开(公告)号:US12061262B2

    公开(公告)日:2024-08-13

    申请号:US17710410

    申请日:2022-03-31

    申请人: AEVA, INC.

    摘要: A system and method including, predicting a first set of Doppler velocity information for a first point set to produce a first predicted set of Doppler velocity information for the first point set; determining one or more Doppler velocity errors based on the first predicted set of Doppler velocity information and a second set of Doppler velocity information; predicting a third set of Doppler velocity information for the second point set to produce a second predicted set of Doppler velocity information for the second point set; determining one or more Doppler velocity errors based on at least one of the second predicted set of Doppler velocity information and a fourth set of Doppler velocity information; and producing a transform that aligns the one or more points of the first point set with the one or more points of the second point set.

    Velocity estimation using doppler per point LiDAR systems

    公开(公告)号:US11828848B2

    公开(公告)日:2023-11-28

    申请号:US16353255

    申请日:2019-03-14

    申请人: Aeva, Inc.

    IPC分类号: G01S17/58 G01S17/89 G01S7/48

    摘要: A method of operating a light detection and ranging (LiDAR) system is provided that includes performing a scene measurement using a LiDAR sensor capable of measuring Doppler per point. The method also includes estimating a velocity of the LiDAR sensor with respect to static points within the scene based on the scene measurement. The method may also include compensating for the velocity of the LiDAR sensor and compensating for a Doppler velocity of the LiDAR sensor.

    TECHNIQUES FOR POINT CLOUD FRAME ACCUMULATION IN FMCW LIDAR

    公开(公告)号:US20230213655A1

    公开(公告)日:2023-07-06

    申请号:US18064761

    申请日:2022-12-12

    申请人: AEVA, INC.

    IPC分类号: G01S17/89 G01S17/58 G01S7/491

    CPC分类号: G01S17/89 G01S17/58 G01S7/491

    摘要: A method generates first points based on a first scan of an environment that includes one or more moving objects. The method transforms the first points into a first static frame, which includes removing one or more of the first points corresponding to the one or more moving objects. The method generates second points based on a second scan of the environment that includes the one or more moving objects. The method transforms the second points into a second static frame, which includes removing one or more of the second points corresponding to the one or more moving objects. The method combines the first static frame and the second static frame into an accumulated static frame, which has an increase in resolution compared with the first static frame. The method then loads the accumulated static frame into a point cloud.

    TECHNIQUES FOR FAST POINT CLOUD FILTERING USING A PARALLEL CASCADED FILTER

    公开(公告)号:US20220120878A1

    公开(公告)日:2022-04-21

    申请号:US17398440

    申请日:2021-08-10

    申请人: AEVA, INC.

    摘要: A set of POIs of a point cloud are received at a first filter, where each POI of the set of POIs comprises one or more points. Each POI of the set of POIs is filtered. At a second filter, a first set of neighborhood points of a POI is selected. A first metric for the first set of neighborhood points is computed. Based on the first metric, a first score of the POI is determined. At a third filter, a second set of neighborhood points of a POI is selected. A second metric for the second set of neighborhood points is computed. Based on the second metric, a second score of the POI is determined. At the first filter, based on the first score and the second score, whether to accept the POI, modify the POI, or reject the POI, is determined to extract range or velocity information.