Invention Application
- Patent Title: 3D SURFACE RECONSTRUCTION WITH POINT CLOUD DENSIFICATION USING ARTIFICIAL INTELLIGENCE FOR AUTONOMOUS SYSTEMS AND APPLICATIONS
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Application No.: US17452744Application Date: 2021-10-28
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Publication No.: US20230136235A1Publication Date: 2023-05-04
- Inventor: Kang Wang , Yue Wu , Minwoo Park , Gang Pan
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA Santa Clara
- Main IPC: B60W60/00
- IPC: B60W60/00 ; B60W40/06 ; G06K9/00 ; B60W40/105

Abstract:
In various examples, a 3D surface structure such as the 3D surface structure of a road (3D road surface) may be observed and estimated to generate a 3D point cloud or other representation of the 3D surface structure. Since the representation may be sparse, one or more densification techniques may be applied to densify the representation of the 3D surface structure. For example, the relationship between sparse and dense projection images (e.g., 2D height maps) may be modeled with a Markov random field, and Maximum a Posterior (MAP) inference may be performed using a corresponding joint probability distribution to estimate the most likely dense values given the sparse values. The resulting dense representation of the 3D surface structure may be provided to an autonomous vehicle drive stack to enable safe and comfortable planning and control of the autonomous vehicle.
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