公开(公告)号：US20210303877A1

公开(公告)日：2021-09-30

申请号：US16983414

申请日：2020-08-03

Applicant: Lyft, Inc.

Inventor： Ashesh Jain ,  Yunjian Jiang ,  Mushfiqur Rouf ,  Henru Wang ,  Lei Zhang

IPC: G06K9/00 ,  G05D1/02

Abstract: Examples disclosed herein may involve a computing system that is configured to (i) obtain previously-derived perception data for a collection of sensor data including a sequence of frames observed by a vehicle within one or more scenes, where the previously-derived perception data includes a respective set of object-level information for each of a plurality of objects detected within the sequence of frames, (ii) derive supplemental object-level information for at least one object detected within the sequence of frames that adds to the previously-derived object-level information for the at least one object, (iii) augment the previously-derived perception data to include the supplemental object-level information for the at least one object, and (iv) store the augmented perception data in an arrangement that encodes a hierarchical relationship between the plurality of objects, the sequence of frames, and the one or more scenes.

公开(公告)号：US11875680B2

公开(公告)日：2024-01-16

申请号：US16983414

申请日：2020-08-03

Applicant: Lyft, Inc.

Inventor： Ashesh Jain ,  Yunjian Jiang ,  Mushfiqur Rouf ,  Henru Wang ,  Lei Zhang

IPC: G06V20/58 ,  G08G1/16 ,  G05D1/02 ,  G06V20/40 ,  G06V10/764 ,  G06V10/94 ,  G06V20/20 ,  G06V20/56

CPC classification number: G08G1/165 ,  G05D1/0219 ,  G06V10/764 ,  G06V10/95 ,  G06V20/20 ,  G06V20/41 ,  G06V20/56 ,  G06V20/58

Abstract: Examples disclosed herein may involve a computing system that is configured to
(i) obtain previously-derived perception data for a collection of sensor data including a sequence of frames observed by a vehicle within one or more scenes, where the previously-derived perception data includes a respective set of object-level information for each of a plurality of objects detected within the sequence of frames, (ii) derive supplemental object-level information for at least one object detected within the sequence of frames that adds to the previously-derived object-level information for the at least one object, (iii) augment the previously-derived perception data to include the supplemental object-level information for the at least one object, and (iv) store the augmented perception data in an arrangement that encodes a hierarchical relationship between the plurality of objects, the sequence of frames, and the one or more scenes.

公开(公告)号：US10733463B1

公开(公告)日：2020-08-04

申请号：US16836736

申请日：2020-03-31

Applicant: Lyft, Inc.

Inventor： Ashesh Jain ,  Yunjian Jiang ,  Mushfiqur Rouf ,  Henru Wang ,  Lei Zhang

IPC: G06K9/00 ,  G05D1/02

Abstract: Examples disclosed herein may involve a computing system that is configured to (i) obtain previously-derived perception data for a collection of sensor data including a sequence of frames observed by a vehicle within one or more scenes, where the previously-derived perception data includes a respective set of object-level information for each of a plurality of objects detected within the sequence of frames, (ii) derive supplemental object-level information for at least one object detected within the sequence of frames that adds to the previously-derived object-level information for the at least one object, (iii) augment the previously-derived perception data to include the supplemental object-level information for the at least one object, and (iv) store the augmented perception data in an arrangement that encodes a hierarchical relationship between the plurality of objects, the sequence of frames, and the one or more scenes.