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公开(公告)号：US11763575B2
公开(公告)日：2023-09-19
申请号：US17678411
申请日：2022-02-23
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Deepak Poddar , Soyeb Nagori , Manu Mathew , Debapriya Maji
CPC classification number: G06V20/586 , G06T7/70 , G06T11/203 , G06T2207/20081 , G06T2207/30264
Abstract: Techniques including receiving a distorted image from a camera disposed about a vehicle, detecting, in the distorted image, corner points associated with a target object, mapping the corner points to a distortion corrected domain based on one or more camera parameters, mapping the corner points and lines between the corner points back to a distorted domain based on the camera parameters, interpolating one or more intermediate points to generate lines between the corner points in the distortion corrected domain mapping the corner points and the lines between the corner points back to a distorted domain based on the camera parameters, and adjusting a direction of travel of the vehicle based on the located target object.
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公开(公告)号：US11688078B2
公开(公告)日：2023-06-27
申请号：US17093681
申请日：2020-11-10
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Soyeb Noormohammed Nagori , Manu Mathew , Kumar Desappan , Pramod Kumar Swami
CPC classification number: G06T7/20 , G06T7/70 , G06T2207/10016
Abstract: A method for video object detection includes detecting an object in a first video frame, and selecting a first interest point and a second interest point of the object. The first interest point is in a first region of interest located at a first corner of a box surrounding the object. The second interest point is in a second region of interest located at a second corner of the box. The second corner is diagonally opposite the first corner. A first optical flow of the first interest point and a second optical flow of the second interest point are determined. A location of the object in a second video frame is estimated by determining, in the second video frame, a location of the first interest point based on the first optical flow and a location of the second interest point based on the second optical flow.
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公开(公告)号：US11615629B2
公开(公告)日：2023-03-28
申请号：US17195915
申请日：2021-03-09
Applicant: Texas Instruments Incorporated
Inventor： Prashanth Ramanathpur Viswanath , Deepak Kumar Poddar , Soyeb Nagori , Manu Mathew
Abstract: A method for estimating time to collision (TTC) of a detected object in a computer vision system is provided that includes determining a three dimensional (3D) position of a camera in the computer vision system, determining a 3D position of the detected object based on a 2D position of the detected object in an image captured by the camera and an estimated ground plane corresponding to the image, computing a relative 3D position of the camera, a velocity of the relative 3D position, and an acceleration of the relative 3D position based on the 3D position of the camera and the 3D position of the detected object, wherein the relative 3D position of the camera is relative to the 3D position of the detected object, and computing the TTC of the detected object based on the relative 3D position, the velocity, and the acceleration.
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公开(公告)号：US11443505B2
公开(公告)日：2022-09-13
申请号：US16898972
申请日：2020-06-11
Applicant: Texas Instruments Incorporated
Inventor： Mihir Narendra Mody , Manu Mathew , Chaitanya Satish Ghone
Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.
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公开(公告)号：US20200302217A1
公开(公告)日：2020-09-24
申请号：US16898972
申请日：2020-06-11
Applicant: Texas Instruments Incorporated
Inventor： Mihir Narendra Mody , Manu Mathew , Chaitanya Satish Ghone
Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.
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Patent Agency Ranking
公开(公告)号：US10713522B2
公开(公告)日：2020-07-14
申请号：US16400149
申请日：2019-05-01
Applicant: Texas Instruments Incorporated
Inventor： Mihir Narendra Mody , Manu Mathew , Chaitanya Satish Ghone
Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.
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公开(公告)号：US20190258891A1
公开(公告)日：2019-08-22
申请号：US16400149
申请日：2019-05-01
Applicant: Texas Instruments Incorporated
Inventor： Mihir Narendra Mody , Manu Mathew , Chaitanya Satish Ghone
Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.
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公开(公告)号：US10325173B2
公开(公告)日：2019-06-18
申请号：US16108237
申请日：2018-08-22
Applicant: Texas Instruments Incorporated
Inventor： Mihir Narendra Mody , Manu Mathew , Chaitanya Satish Ghone
Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.
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公开(公告)号：US10156441B2
公开(公告)日：2018-12-18
申请号：US15255832
申请日：2016-09-02
Applicant: Texas Instruments Incorporated
Inventor： Soyeb Nagori , Poorna Kumar , Manu Mathew , Prashanth Ramanathpur Viswanath , Deepak Kumar Poddar
Abstract: Estimation of the ground plane of a three dimensional (3D) point cloud based modifications to the random sample consensus (RANSAC) algorithm is provided. The modifications may include applying roll and pitch constraints to the selection of random planes in the 3D point cloud, using a cost function based on the number of inliers in the random plane and the number of 3D points below the random plane in the 3D point cloud, and computing a distance threshold for the 3D point cloud that is used in determining whether or not a 3D point in the 3D point cloud is an inlier of a random plane.
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公开(公告)号：US10108864B2
公开(公告)日：2018-10-23
申请号：US15235516
申请日：2016-08-12
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Prashanth Ramanathpu Viswanath , Soyeb Nagori , Manu Mathew
Abstract: A vehicular structure from motion (SfM) system can store a number of image frames acquired from a vehicle-mounted camera in a frame stack according to a frame stack update logic. The SfM system can detect feature points, generate flow tracks, and compute depth values based on the image frames, the depth values to aid control of the vehicle. The frame stack update logic can select a frame to discard from the stack when a new frame is added to the stack, and can be changed from a first in, first out (FIFO) logic to last in, first out (LIFO) logic upon a determination that the vehicle is stationary. An optical flow tracks logic can also be modified based on the determination. The determination can be made based on a dual threshold comparison to insure robust SfM system performance.
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