公开(公告)号：US20250022278A1

公开(公告)日：2025-01-16

申请号：US18221809

申请日：2023-07-13

Applicant: TORC Robotics, Inc.

Inventor： Dalong LI ,  Lei GE ,  Juncong FEI

IPC: G06V20/56 ,  G01S17/89 ,  G06V10/764

Abstract: An autonomous vehicle comprises one or more processors. The processors can be configured to receive, from a sensor of the autonomous vehicle, an image of an environment outside of the autonomous vehicle. The processors can detect potential unknown objects based on the image. The processors can compare the detection based on the image to a set of data points of a LiDAR scan to determine if there are unknown objects on a roadway.

公开(公告)号：US20240282080A1

公开(公告)日：2024-08-22

申请号：US18325878

申请日：2023-05-30

Applicant: TORC Robotics, Inc.

Inventor： Tianyi YANG ,  Dalong LI ,  Juncong FEI

IPC: G06V10/764 ,  G06T7/70 ,  G06V20/58

CPC classification number: G06V10/764 ,  G06T7/70 ,  G06V20/58 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30261

Abstract: Systems and methods for training artificial intelligence models based on sequences of image data are disclosed. The techniques described herein include generating, using an artificial intelligence model, a respective classification and a respective bounding box for an object depicted in each image of a sequence of images captured during operation of an autonomous vehicle; tracking the object in the sequence of images based on the respective bounding box of each image of the sequence of images and a tracking identifier corresponding to the object; determining a correction to the respective classification of an image of the sequence of images responsive to tracking the object in the sequence of images; and training the artificial intelligence model based on the correction.