FPGA-Accelerated Object Detection Using Edge Information - IEEE Xplore
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This paper proposes an FPGA-based object detection system that utilizes edge information to reduce the search space involved in object detection. By eliminating ...
An FPGA-based object detection system that utilizes edge information to reduce the search space involved in object detection is proposed, which achieves ...
This paper proposes an FPGA-based object detection system that utilizes edge information to reduce the search space involved in object detection. By eliminating ...
By eliminating large amounts of search data, the proposed system achieves both performance gains, and reduced energy consumption, while requiring minimal ...
Conference Object. FPGA-accelerated object detection using edge information. No Thumbnail [100%x260]. Date. 2011. Author. Kyrkou, C. Ttofis, C. ORCID logo ...
Oct 22, 2024 · In this paper, the current hardware accelerators are introduced and compared. Then, the typical deep learning-based object detectors are summarized.
Mobile robotics and edge computing are two examples of energy-efficient applications that could benefit from FPGAs because of their lower power consumption as ...
Apr 30, 2024 · This research introduces an innovative methodology for autonomous driving systems that leverage FPGA hardware acceleration in conjunction with ...
We implement the proposed DPU and Vitis AI-based object detection algorithms with FPGA deployment to achieve low power consumption and real-time performance ...
In this work, we present how a visual information extraction cascade composed of disparity estimation, edge detection and motion detection, can help in ...