Invention Grant
- Patent Title: Advanced driver-assistance system with landmark localization on objects in images using convolutional neural networks
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Application No.: US15709814Application Date: 2017-09-20
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Publication No.: US10289935B2Publication Date: 2019-05-14
- Inventor: Muhammad Zeeshan Zia , Quoc-Huy Tran , Xiang Yu , Manmohan Chandraker , Chi Li
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: JP Tokyo
- Assignee: NEC Corporation
- Current Assignee: NEC Corporation
- Current Assignee Address: JP Tokyo
- Agent Joseph Kolodka
- Main IPC: G05D1/02
- IPC: G05D1/02 ; G06K9/00 ; G06K9/46 ; G06K9/62 ; G06N3/02 ; G06N3/08 ; G06T7/55 ; G06T7/73 ; G08G1/16 ; H04N7/00 ; B60W30/00 ; G06F17/50 ; G06T11/60 ; G06T15/10 ; G06T15/40 ; G08G1/0962

Abstract:
A system and method are provided for driving assistance. The system includes an image capture device configured to capture an actual image relative to an outward view from a motor vehicle and depicting an object. The system further includes a processor configured to render, based on a set of 3D CAD models, synthetic images with corresponding intermediate shape concept labels. The processor is further configured to form a multi-layer CNN which jointly models multiple intermediate shape concepts, based on the rendered synthetic images. The processor is also configured to perform an intra-class appearance variation-aware and occlusion-aware 3D object parsing on the actual image by applying the CNN to the actual image to output an image pair including a 2D and 3D geometric structure of the object. The processor is additionally configured to perform an action to mitigate a likelihood of harm involving the motor vehicle, based on the image pair.
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