Invention Grant
- Patent Title: Object detection based on shallow neural network that processes input images
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Application No.: US16835333Application Date: 2020-03-31
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Publication No.: US11727056B2Publication Date: 2023-08-15
- Inventor: Igal Raichelgauz , Roi Saida
- Applicant: Cortica, Ltd.
- Applicant Address: IL Tel Aviv
- Assignee: Cortica, Ltd.
- Current Assignee: Cortica, Ltd.
- Current Assignee Address: IL Tel Aviv
- Agency: Reches Patents
- Main IPC: G06V20/58
- IPC: G06V20/58 ; G06F16/901 ; G06N3/08 ; G06N3/04 ; G06T11/20 ; G06V40/10 ; G06F18/2431

Abstract:
A method for driving-related object detection, the method may include receiving an input image by an input of an object detector; and detecting, by an object detector, objects that appear in the input image. The detecting includes searching for (i) a first object having a first size that is within a first size range and belongs to a four wheel vehicle class, (ii) a second object having a second size that is within a second size range and belongs to a subclass out of multiple four wheel vehicle subclasses, (iii) a pedestrian, and (iv) a two wheel vehicle; wherein a maximum of the first size range does not substantially exceed a minimum of the second size range.
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