Title
Development of a Robot Car by Single Line Search Method for White Line Detection with FPGA
Abstract
In level 5 autonomous driving system, image recognition is required as multiplex safety technology. However, real time image recognition is hard for existing microprocessors. Hence, implementation of driving system on FPGA is useful to achieve real time image recognition for autonomous driving. Therefore, this paper describes implementation of autonomous driving robot with image processing using FPGA. Hough transform which is generally used for white line detection, requires high computing cost. We explain our new white line detection method which features low computation cost. As a result of evaluation, image processing performance on software is about 26.1 frame / sec, and on hardware is about 0.5 frame / sec. In addition, hardware implementation using Vivado HLS is described.
Year
DOI
Venue
2018
10.1109/FPT.2018.00088
2018 International Conference on Field-Programmable Technology (FPT)
Keywords
Field
DocType
Autonomous-Driving,FPGA,Robot-Operating-System,Image-Processing,-Robot
Computer science,Hough transform,Field-programmable gate array,Image processing,Real-time computing,Line search,Software,Computer hardware,Robot,Computation,Robot operating system
Conference
ISBN
Citations 
PageRank 
978-1-7281-0215-3
1
0.43
References 
Authors
1
7
Name
Order
Citations
PageRank
Hiromichi Wakatsuki110.43
Takao Kido210.43
Kenta Arai310.43
Yuhei Sugata411.11
Kanemitsu Ootsu54423.90
Takashi Yokota64121.70
Takeshi Ohkawa72116.24