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公开(公告)号：US11875523B2
公开(公告)日：2024-01-16
申请号：US17286488
申请日：2019-09-20
发明人： Fupeng Chen , Heng Yu , Yajun Ha
CPC分类号： G06T7/593 , G06F17/12 , G06T2207/10012 , G06T2207/20004 , G06T2207/20081
摘要： The present disclosure provides an adaptive stereo matching optimization method, apparatus, and device, and a storage medium. The method includes: acquiring images of at least two perspectives of the same target scene, accordingly obtaining, through calculation, disparity value ranges corresponding to pixels in the target scene; and obtaining optimized depth value ranges by adjusting the disparity value ranges of the pixels in the target scene in real time through an adaptive stereo matching model; adjusting an execution cycle in the adaptive stereo matching model in real time through a DVFS algorithm according to a resource constraint condition of the processing system; and/or training on a plurality of scene image data sets through a convolutional neural network, so that the specific function parameters in the adaptive stereo matching model are correspondingly adjusted in real time according to the acquired different scene images.
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公开(公告)号：US11934459B2
公开(公告)日：2024-03-19
申请号：US17799278
申请日：2021-09-22
发明人： Guangyao Yan , Xinzhe Liu , Yajun Ha , Hui Wang
IPC分类号： G06T7/162 , G06F16/901 , G06T7/13
CPC分类号： G06F16/9024 , G06T7/13 , G06T7/162 , G06T2207/20072
摘要： A ripple push method for a graph cut includes: obtaining an excess flow ef(v) of a current node v; traversing four edges connecting the current node v in top, bottom, left and right directions, and determining whether each of the four edges is a pushable edge; calculating, according to different weight functions, a maximum push value of each of the four edges by efw=ef(v)*W, where W denotes a weight function; and traversing the four edges, recording a pushable flow of each of the four edges, and pushing out a calculated flow. The ripple push method explores different push weight functions, and significantly improves the actual parallelism of the push-relabel algorithm.
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3.发明公开公开(公告)号：US20230179315A1
公开(公告)日：2023-06-08
申请号：US18049932
申请日：2022-10-26
申请人： IMEC VZW , ShanghaiTech University
发明人： Xinzhe Liu , Raees Kizhakkumkara Muhamad , Dessislava Nikolova , Yajun Ha , Francky Catthoor , Fupeng Chen , Peter Schelkens , David Blinder
IPC分类号： H04J11/00
CPC分类号： H04J11/00
摘要： Example embodiments relate to methods for disseminating scaling information and applications thereof in very large scale integration (VLSI) implementations of fixed-point fast Fourier transforms (FFTs). One embodiment includes a method for disseminating scaling information in a system. The system includes a linear decomposable transformation process and an inverse process of the linear decomposable transformation process. The inverse process of the linear decomposable transformation process is defined, in time or space, as an inverse linear decomposable transformation process. The linear decomposable transformation process is separated from the inverse linear decomposable transformation process. The linear decomposable transformation process or the inverse linear decomposable transformation process is able to be performed first and is defined as a linear decomposable transformation I. The other remaining process is performed subsequently and is defined as a linear decomposable transformation II. The method for disseminating scaling information is used for a bit width-optimized and energy-saving hardware implementation.
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公开(公告)号：US11875244B2
公开(公告)日：2024-01-16
申请号：US18009341
申请日：2022-08-05
发明人： Hongtu Zhang , Yuhao Shu , Yajun Ha
IPC分类号： G06N3/0464 , G06F5/16
CPC分类号： G06N3/0464 , G06F5/16
摘要： An enhanced dynamic random access memory (eDRAM)-based computing-in-memory (CIM) convolutional neural network (CNN) accelerator comprises four P2ARAM blocks, where each of the P2ARAM blocks includes a 5T1C ping-pong eDRAM bit cell array composed of 64×16 5T1C ping-pong eDRAM bit cells. In each of the P2ARAM blocks, 64×2 digital time converters convert a 4-bit activation value into different pulse widths from a row direction and input the pulse widths into the 5T1C ping-pong eDRAM bit cell array for calculation. A total of 16×2 convolution results are output in a column direction of the 5T1C ping-pong eDRAM bit cell array. The CNN accelerator uses the 5T1C ping-pong eDRAM bit cells to perform multi-bit storage and convolution in parallel. An S2M-ADC scheme is proposed to allot an area of an input sampling capacitor of an ABL to sign-numerical SAR ADC units of a C-DAC array without adding area overhead.
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公开(公告)号：US11762015B2
公开(公告)日：2023-09-19
申请号：US17801266
申请日：2021-09-22
发明人： Weixiong Jiang , Yajun Ha
IPC分类号： G01R31/317
CPC分类号： G01R31/31725
摘要： A full-path circuit delay measurement device for a field-programmable gate array (FPGA) and a measurement method are provided. The measurement device includes two shadow registers and a phase-shifted clock, where the two shadow registers take an output of a measured combinational logic circuit as a clock and sample the phase-shifted clock SCLK as data; the two shadow registers are respectively triggered on rising and falling edges of the output of the measured combinational logic circuit to sample the phase-shifted clock; outputs of the two shadow registers are delivered by an OR gate as an input into a synchronization register; a clock of the synchronization register serves as a clock MCLK of the measured combinational logic circuit; an output of the synchronization register serves as that of the circuit delay measurement device; the phase-shifted clock SCLK and the clock MCLK of the measured combinational logic circuit have the same frequency.
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公开(公告)号：US11100979B1
公开(公告)日：2021-08-24
申请号：US17051783
申请日：2020-06-17
IPC分类号： G11C11/412 , H01L27/11 , G11C11/419
摘要： A low-power SRAM memory cell includes five word lines and four bit lines. The five word lines are a first word line, a second word line, a third word line, a fourth word line and a fifth word line. The four bit lines are a first bit line, a second bit line, a third bit line, and a fourth bit line. During the operation process of calculating a binary 10×11, the first word line is 1, the second word line is 0, the third word line is 0, the fourth word line is 1, the high bit stored in the bit cell is 1, and the low bit is 1. The voltage value of the fifth word line is 0.73 volt. At this time, the first bit line, the second bit line, and the third bit line do not discharge, while the fourth bit line discharges.
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7.发明授权公开(公告)号：US11845466B2
公开(公告)日：2023-12-19
申请号：US17802148
申请日：2021-09-22
IPC分类号： B60W60/00
CPC分类号： B60W60/001 , B60W2420/52 , B60W2554/4049
摘要： A normal distributions transform (NDT) method for LiDAR point cloud localization in unmanned driving is provided. The method proposes a non-recursive, memory-efficient data structure occupation-aware-voxel-structure (OAVS), which speeds up each search operation. Compared with a tree-based structure, the proposed data structure OAVS is easy to parallelize and consumes only about 1/10 of memory. Based on the data structure OAVS, the method proposes a semantic-assisted OAVS-based (SEO)-NDT algorithm, which significantly reduces the number of search operations, redefines a parameter affecting the number of search operations, and removes a redundant search operation. In addition, the method proposes a streaming field-programmable gate array (FPGA) accelerator architecture, which further improves the real-time and energy-saving performance of the SEO-NDT algorithm. The method meets the real-time and high-precision requirements of smart vehicles for three-dimensional (3D) lidar localization.
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公开(公告)号：US11537774B2
公开(公告)日：2022-12-27
申请号：US17595194
申请日：2021-06-09
IPC分类号： G06F30/34 , G06F30/337 , G06F30/3323
摘要： An optimized reconfiguration algorithm based on dynamic voltage and frequency scaling (DVFS) is provided, which mainly has the following contributions. The optimized reconfiguration algorithm based on DVFS proposes a DVFS-based reconfiguration method, which schedules user tasks according to a degree of parallelism (DOP) of the user tasks so as to reconfigure more parallel user tasks, thereby achieving higher reliability. The optimized reconfiguration algorithm based on DVFS proposes a K-means-based heuristic approximation algorithm, which minimizes the delay of the DVFS-based reconfiguration scheduling algorithm. The optimized reconfiguration algorithm based on DVFS proposes a K-means-based method, which reduces memory overhead caused by DVFS-based reconfiguration scheduling. The optimized reconfiguration algorithm based on DVFS improves the reliability of a field programmable gate array (FPGA) system and minimizes the area overhead of a hardware circuit.
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公开(公告)号：US11430200B2
公开(公告)日：2022-08-30
申请号：US17593852
申请日：2021-06-09
摘要： An efficient K-nearest neighbor search algorithm for three-dimensional (3D) lidar point cloud in unmanned driving and a use of the foregoing K-nearest neighbor search algorithm in a point cloud map matching process in the unmanned driving are provided. A novel data structure for fast K-nearest neighbor search is used, such that each voxel or sub-voxel includes a proper quantity of points to reduce redundant search. The novel K-nearest neighbor search algorithm is based on a double segmentation voxel structure (DSVS) and a field programmable gate array (FPGA). By means of the novel K-nearest neighbor search algorithm, nearest neighbors are searched for only in a neighboring expected area near a search point, thereby reducing search of redundant points. In addition, an optimized data transmission and access policy is used, which makes the algorithm more fit the characteristic of the FPGA.
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公开(公告)号：US11934954B2
公开(公告)日：2024-03-19
申请号：US17799933
申请日：2021-09-22
发明人： Weixiong Jiang , Yajun Ha
IPC分类号： G06N3/08
CPC分类号： G06N3/08
摘要： A pure integer quantization method for a lightweight neural network (LNN) is provided. The method includes the following steps: acquiring a maximum value of each pixel in each of the channels of the feature map of a current layer; dividing a value of each pixel in each of the channels of the feature map by a t-th power of the maximum value, t∈[0,1]; multiplying a weight in each of the channels by the maximum value of each pixel in each of the channels of the corresponding feature map; and convolving the processed feature map with the processed weight to acquire the feature map of a next layer. The algorithm is verified on SkyNet and MobileNet respectively, and lossless INT8 quantization on SkyNet and maximum quantization accuracy so far on MobileNetv2 are achieved.
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