An End-to-End solution to Autonomous Driving based on Xilinx FPGAd

被引:7
作者
Wu, Tianze [1 ]
Liu, Weiyi [2 ]
Jin, Yongwei [3 ]
机构
[1] Chinese Acad Sci, Inst Comp Technol, Univ Chinese Acad Sci, Beijing, Peoples R China
[2] Shanghai Jiao Tong Univ, Shanghai, Peoples R China
[3] Xidian Univ, Xian, Peoples R China
来源
2019 INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE TECHNOLOGY (ICFPT 2019) | 2019年
关键词
Autonomous Driving; Machine Learning; Pynq-Z2; Field programmable gate arrays; Deep Learning Processing Unit;
D O I
10.1109/ICFPT47387.2019.00084
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Nowadays, the autonomous driving topic is very hot, many people are trying to provide a solution to this problem. This time we build our own auto-driving car based on Xilinx Pynq-Z2, it provides an end-to-end solution which inputs images from camera and outputs control instructions directly. The platform also uses the power of Deep learning Processing Unit(DPU) to accelerate the inference process and provides a simulator for training and testing in virtual environment. If the car meets some situations which cannot be handled by AI model, it's easy to add extra traditional computer vision functions to our control system. So our platform can help people who want to try autonomous driving build their own model and test it efficiently. We hope that our platform can be easy to use and extend.
引用
收藏
页码:427 / 430
页数:4
相关论文
共 13 条
  • [1] Development of an FPGA controlled "Mini-Car" toward Autonomous Driving
    Aoto, Musashi
    Numata, Yousuke
    Wada, Yasutaka
    [J]. 2018 INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE TECHNOLOGY (FPT 2018), 2018, : 403 - 405
  • [2] EXTRACTING STRAIGHT-LINES
    BURNS, JB
    HANSON, AR
    RISEMAN, EM
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1986, 8 (04) : 425 - 455
  • [4] Hanbury A, 2003, LECT NOTES COMPUT SC, V2749, P804
  • [5] In-Datacenter Performance Analysis of a Tensor Processing Unit
    Jouppi, Norman P.
    Young, Cliff
    Patil, Nishant
    Patterson, David
    Agrawal, Gaurav
    Bajwa, Raminder
    Bates, Sarah
    Bhatia, Suresh
    Boden, Nan
    Borchers, Al
    Boyle, Rick
    Cantin, Pierre-luc
    Chao, Clifford
    Clark, Chris
    Coriell, Jeremy
    Daley, Mike
    Dau, Matt
    Dean, Jeffrey
    Gelb, Ben
    Ghaemmaghami, Tara Vazir
    Gottipati, Rajendra
    Gulland, William
    Hagmann, Robert
    Ho, C. Richard
    Hogberg, Doug
    Hu, John
    Hundt, Robert
    Hurt, Dan
    Ibarz, Julian
    Jaffey, Aaron
    Jaworski, Alek
    Kaplan, Alexander
    Khaitan, Harshit
    Killebrew, Daniel
    Koch, Andy
    Kumar, Naveen
    Lacy, Steve
    Laudon, James
    Law, James
    Le, Diemthu
    Leary, Chris
    Liu, Zhuyuan
    Lucke, Kyle
    Lundin, Alan
    MacKean, Gordon
    Maggiore, Adriana
    Mahony, Maire
    Miller, Kieran
    Nagarajan, Rahul
    Narayanaswami, Ravi
    [J]. 44TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA 2017), 2017, : 1 - 12
  • [6] Development of an Autonomous Driving Robot Car using FPGA
    Kojima, Akira
    Nose, Yohei
    [J]. 2018 INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE TECHNOLOGY (FPT 2018), 2018, : 414 - 417
  • [7] Kramer Tawn, 2019, SDSANDBOX
  • [8] Mahajan Divya, 2016, 2016 IEEE INT S HIGH
  • [9] Nurvitadhi E, 2016, 2016 INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE TECHNOLOGY (FPT), P77, DOI 10.1109/FPT.2016.7929192
  • [10] Rizon M., 2005, American Journal of Applied Sciences, V2, P1606, DOI DOI 10.3844/AJASSP.2005.1606.1609