-
公开(公告)号：US11623661B2
公开(公告)日：2023-04-11
申请号：US17068425
申请日：2020-10-12
Applicant: Zoox, Inc.
Inventor： Arthur Daniel Costea , Robert Evan Mahieu , David Pfeiffer , Zeng Wang
Abstract: Techniques for controlling a vehicle based on height data and/or classification data being determined utilizing multi-channel image data are discussed herein. The vehicle can capture lidar data as it traverses an environment. The lidar data can be associated with a voxel space as three-dimensional data. Semantic information can be determined and associated with the lidar data and/or the three-dimensional voxel space. A multi-channel input image can be determined based on the three-dimensional voxel space and input into a machine learned (ML) model. The ML model can output data to determine height data and/or classification data associated with a ground surface of the environment. The height data and/or classification data can be utilized to determine a mesh associated with the ground surface. The mesh can be used to control the vehicle and/or determine additional objects proximate the vehicle.
-
公开(公告)号：US20230095410A1
公开(公告)日：2023-03-30
申请号：US17484169
申请日：2021-09-24
Applicant: Zoox, Inc.
Inventor： Arthur Daniel Costea , David Pfeiffer , Zeng Wang , Allan Zelener
IPC: G01S17/931 , G01S17/06 , G01B21/16 , G01S7/4863 , G06N20/00
Abstract: Techniques for detecting and classifying objects using lidar data are discussed herein. In some cases, the system may be configured to utilize a predetermined number of prior frames of lidar data to assist with detecting and classifying objects. In some implementations, the system may utilize a subset of the data associated with the prior lidar frames together with the full set of data associated with a current frame to detect and classify the objects.
-
公开(公告)号：US20220111868A1
公开(公告)日：2022-04-14
申请号：US17068425
申请日：2020-10-12
Applicant: Zoox, Inc.
Inventor： Arthur Daniel Costea , Robert Evan Mahieu , David Pfeiffer , Zeng Wang
Abstract: Techniques for estimating ground height based on lidar data are discussed herein. A vehicle captures lidar data as it traverses an environment. The lidar data can be associated with a voxel space as three-dimensional data. Semantic information can be determined and associated with the lidar data and/or the three-dimensional voxel space. A multi-channel input image can be determined based on the three-dimensional voxel space and input into a machine learned (ML) model. The ML model can output data to determine height data and/or classification data associated with a ground surface of the environment. The height data and/or classification data can be utilized to determine a mesh associated with the ground surface. The mesh can be used to control the vehicle and/or determine additional objects proximate the vehicle.
-
-
Search Results
3
records
(took 0.011 seconds)
