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公开(公告)号：US11380110B1
公开(公告)日：2022-07-05
申请号：US17125379
申请日：2020-12-17
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Erez Ben Yaacov , Elad Plaut , Bat El Shlomo
Abstract: Vehicles and methods for detecting a three-dimensional (3D) position of a traffic sign and controlling a feature of the vehicle based on the 3D position of the traffic sign. An image is received from a camera. The image is processed using a neural network. The neural network includes a traffic sign class block regressing a traffic sign class for a traffic sign included in the image and a rotation block regressing an orientation for the traffic sign. Dimensions for the traffic sign are retrieved from an information database based on the traffic sign class. A 3D position of the traffic sign is determined based on the dimensions of the traffic sign and the orientation of the traffic sign. A feature of the vehicle is controlled based on the 3D position of the traffic sign.
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公开(公告)号：US20220198203A1
公开(公告)日：2022-06-23
申请号：US17125379
申请日：2020-12-17
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Erez Ben Yaacov , Elad Plaut , Bat El Shlomo
Abstract: Vehicles and methods for detecting a three-dimensional (3D) position of a traffic sign and controlling a feature of the vehicle based on the 3D position of the traffic sign. An image is received from a camera. The image is processed using a neural network. The neural network includes a traffic sign class block regressing a traffic sign class for a traffic sign included in the image and a rotation block regressing an orientation for the traffic sign. Dimensions for the traffic sign are retrieved from an information database based on the traffic sign class. A 3D position of the traffic sign is determined based on the dimensions of the traffic sign and the orientation of the traffic sign. A feature of the vehicle is controlled based on the 3D position of the traffic sign.
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