Texas Instruments Corporation

Aishwarya Dubey

Shashank Dabral

Mihir Narendra Mody

Hetul Sanghvi

Rahul Gulati

Prashant Dinkar Karandikar

Vasant Easwaran

Veeramanikandan Raju

Martin Fritz Mueller

Nainala Vyagrheswarudu

Rajat Sagar

Peter Labaziewicz

Hemant Vijay Kumar Hariyani

Naishad Parikh

Alan Rankin

Pranjal Tiwari

Kedar Satish Chitnis

Anand Bhat

Puneet Sabbarwal

Peter Aberl

Jonathan Elliot Bergsagel

Sunita Nadampalli

Eldad Falik

Thomas Ray Shelburne

Ian Carl Byers

Prithvi Y A Shankar

Rajiv Girdhar

Anubhav Shukla

Gowtham Abhilash Tammana

A method includes receiving, by a system-on-a-chip (SoC) from a camera mounted on a vehicle, a first image and transmitting, by the SoC to a display circuit over an interface cable, the first image. The method also includes receiving, by the SoC from the display circuit, a feedback signature corresponding to the first image. Additionally, the method includes detecting, by the SoC, an error, in response to determining that the feedback signature does not match the transmission-side signature and transmitting, by the SoC to the display circuit, a second image, in response to determining that the feedback signature matches the transmission-side signature.

Automotive display validation

A technique for rendering an under-vehicle view including obtaining a first location of a vehicle, the vehicle having a set of cameras disposed about the vehicle, capturing a set of images; storing images of the set of images in a memory, wherein the images are associated with a time the images were captured, moving the vehicle to a second location, obtaining the second location of the vehicle, determining an amount of time for moving the vehicle from the first location to the second location, generating a set of motion data, the motion data indicating a relationship between the second location of the vehicle and the first location of the vehicle, obtaining one or more stored images from the memory based on the determined amount of time, rendering a view under the vehicle based on the one or more stored images and set of motion data, and outputting the rendered view.

Below vehicle rendering for surround view systems

A method for identifying regions of interest (ROIs) includes receiving, by a processor from a video camera, a video image and computing, by the processor, an optical flow image, based on the video image. The method also includes computing, by the processor, a magnitude of optical flow image based on the video image and computing a histogram of optical flow magnitudes (HOFM) image for the video image based on the magnitude of optical flow image. Additionally, the method includes generating, by the processor, a mask indicating ROIs of the video image, based on the HOFM.

Three dimensional (3D) object detection

A technique including capturing, by one or more cameras of a set of cameras disposed about a vehicle, one or more images, wherein a surround view system of the vehicle is configured to render a surround view image using a first hardware accelerator based on the one or more images, determining that a first hardware accelerator is unavailable, and rendering the surround view image using a second hardware accelerator based on the captured one or more images.

Fail safe surround view

A hardware accelerator for histogram of oriented gradients computation is provided that includes a gradient computation component configured to compute gradients Gand Gof a pixel, a bin identification component configured to determine a bin id of an angular bin for the pixel based on a plurality of representative orientation angles, G, and signs of Gand G, and a magnitude component configured to determine a magnitude of the gradients Gbased on the plurality of representative orientation angles and the bin id.

Hardware accelerator for histogram of oriented gradients computation

Frames from an image stream or streams are processed by independently operating digital signal processors (DSPs), with only frame checking microprocessors operating in a lockstep mode. In one example, two DSP are operating on alternate frames. Each DSP processes the frames and produces prediction values for the next frame. The lockstep microprocessors develop their own next frame prediction. The lockstep processors compare issued frames and previously developed predicted frames for consistency. If the predictions are close enough, the issued frame passes the test. The lockstep processors then compare the issued frame to the preceding two frames for a similar consistency check. If the prior frames are also close enough, the issued frame is acceptable. In another example, hardware checkers are provided to compare the present frame with a larger number of prior frames. The hardware checkers provide comparison results to the lockstep processors to compare against allowable variation limits.

Alternating frame processing operation with predicted frame comparisons for high safety level use

A hardware accelerator for computing integral image values of an image is provided that includes a plurality of row computation components configurable to operate in parallel to compute row sum values of respective rows of a row block of the image. The hardware accelerator is further configured to compute integral image values for the row block using the row sum values and block pivots.

Hardware accelerator for integral image computation

Information communication circuitry, including a first integrated circuit for coupling to a second integrated circuit in a package on package configuration. The first integrated circuit comprises processing circuitry for communicating information bits, and the information bits comprise data bits and error correction bits, where the error correction bits are for indicating whether data bits are received correctly. The second integrated circuit comprises a memory for receiving and storing at least some of the information bits. The information communication circuitry also includes interfacing circuitry for selectively communicating, along a number of conductors, between the package on package configuration. In a first instance, the interfacing circuitry selectively communicates only data bits along the number of conductors. In a second instance, the interfacing circuitry selectively communicates data bits along a first set of the number of conductors and error correction bits along a second set of the number of conductors.

Package on package memory interface and configuration with error code correction

Techniques including obtaining a first location of a vehicle, the vehicle having two or more cameras disposed about the vehicle, each camera associated with a physical camera pose, capturing, by a first camera, a first image of a first area in a first field of view, associating the first image with the first location of the vehicle when the first image was captured, moving the vehicle in a direction so that the first area is in an expected second field of view of a second camera, wherein the second camera is not capturing images, obtaining a second location of the vehicle, determining a temporal camera pose based on a first physical camera pose, a second physical camera pose, and the second location of the vehicle, and rendering a view of the first area from the expected second field of view of the second camera based on the first image.

Sensor fusion based perceptually enhanced surround view

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Plano, TX, United States of America

Aishwarya Dubey