Invention Grant
- Patent Title: Object detection using skewed polygons suitable for parking space detection
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Application No.: US16820164Application Date: 2020-03-16
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Publication No.: US11195331B2Publication Date: 2021-12-07
- Inventor: Dongwoo Lee , Junghyun Kwon , Sangmin Oh , Wenchao Zheng , Hae-Jong Seo , David Nister , Berta Rodriguez Hervas
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06T17/30
- IPC: G06T17/30 ; G06T7/40

Abstract:
A neural network may be used to determine corner points of a skewed polygon (e.g., as displacement values to anchor box corner points) that accurately delineate a region in an image that defines a parking space. Further, the neural network may output confidence values predicting likelihoods that corner points of an anchor box correspond to an entrance to the parking spot. The confidence values may be used to select a subset of the corner points of the anchor box and/or skewed polygon in order to define the entrance to the parking spot. A minimum aggregate distance between corner points of a skewed polygon predicted using the CNN(s) and ground truth corner points of a parking spot may be used simplify a determination as to whether an anchor box should be used as a positive sample for training.
Public/Granted literature
- US20200294310A1 Object Detection Using Skewed Polygons Suitable For Parking Space Detection Public/Granted day:2020-09-17
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