Essays about: "fpga video"

Showing result 1 - 5 of 33 essays containing the words fpga video.

  1. 1. Modeling, Simulation, and Injection of Camera Images/Video to Automotive Embedded ECU : Image Injection Solution for Hardware-in-the-Loop Testing

    University essay from Uppsala universitet/Signaler och system

    Author : Anton Lind; [2023]
    Keywords : ADAS; AD; ADS; HIL; Hardware in the loop; Hardware-in-the-loop; ECU; VCU; Automotive; Embedded; System; Systems; Camera; Image; Video; Injection; FPGA; MPSoC; Vivado; Vitis; VHDL; Volvo; Cars; FMC; HPC; LPC; MIPI CSI2; GMSL2; AMBA AXI4; Xilinx; RTL; Implementation; Synthesis; Intelectual Property; IP; Vehicle computing unit; Electronic control unit; TEB0911; TEF0007; TEF0010; CSI2 Tx; CSI2 Tx Subsystem; Zynq; SerDes; AXI4; AXI4-Lite; Programmable Logic; PL; Processor System; PS; C; C ; Video test pattern generator; VTPG; Axi traffic generator; ATG; Ultrascale ; Virtual input output; VIO; Integrated logic analyzer; ILA; Interface Unit;

    Abstract : Testing, verification and validation of sensors, components and systems is vital in the early-stage development of new cars with computer-in-the-car architecture. This can be done with the help of the existing technique, hardware-in-the-loop (HIL) testing which, in the close loop testing case, consists of four main parts: Real-Time Simulation Platform, Sensor Simulation PC, Interface Unit (IU), and unit under test which is, for instance, a Vehicle Computing Unit (VCU). READ MORE

  3. 2. FPGA Implementation of Feature Matching in ORB-SLAM2

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Hannah Lindström; [2022]
    Keywords : Autonomous navigation; SLAM; Feature matching; FPGA; ORB; Heterogeneous binary tree; Technology and Engineering;

    Abstract : Simultaneous Localization And Mapping (SLAM) is an important component in solving the problem of autonomous navigation — allowing machines such as selfdriving cars and mobile robots to find their way in the world without human instruction. Though there is a steadily growing body of literature in the field of SLAM, far fewer works currently address using hardware acceleration to speed up this computationally heavy task. READ MORE

  4. 3. How does a fly avoid obstacles?

    University essay from Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Tekniska fakulteten

    Author : Stian Lockhart Pedersen; [2022]
    Keywords : Image processing; Time-To-Impact; TTI;

    Abstract : An implementation of a Time-To-Impact(TTI) algorithm in a language more closely related to small compact devices, such as a Field-programmable gate array(FPGA), needs tobe developed. The algorithm is based on an article written by Åström and Forchheimer [1]. READ MORE

  5. 4. FPGA Implementation of the ORB Algorithm

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Xinyuan Zhang; Emil Sturk Sellstedt; [2022]
    Keywords : Technology and Engineering;

    Abstract : Image feature extraction has become a key technology in the field of autonomous Artificial Intelligence. The algorithm Oriented FAST and Rotated BRIEF (ORB), uses established technologies in image processing to allow a computer to ”see” and navigate its surroundings. READ MORE

  6. 5. FPGA Implementation of an Anonymization Algorithm

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Niklas Kjellman; Rehenuma Tarannum; [2020]
    Keywords : FPGA anonymization privacy anonymization filter spacial filter; Technology and Engineering;

    Abstract : With the large amount of surveillance cameras in our public spaces there has been much discussion about their effects on privacy. Axis communications has an algorithm that tries to remedy this by making it hard to see who is in an image but still have it possible for a neural network to detect that there is a person present. READ MORE