Name
Abstract | ||
|---|---|---|
This paper presented an FPGA based real-time virtual blind cane system for the visually impaired. This system consists of a Xilinx ZYNQ-7000 device, a CMOS camera, an inertial measurement unit (IMU) and a line laser. With this system, the visually impaired can recognize the distance and shape of the barrier ahead in real time to avoid it. The computational complexity of processing images in real time can be very high. In addition, for most embedded systems, there is a payload limitation, high performance computer and GPU is not suitable for embedded system. In this research, FPGA was chosen as its computing platform. Contrastive experimental results are presented to show the speed and robustness. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/RCAR.2017.8311885 | 2017 IEEE International Conference on Real-time Computing and Robotics (RCAR) |
Keywords | Field | DocType |
distance recognition,shape recognition,IMU,image processing,payload limitation,Xilinx ZYNQ-7000 device,real-time virtual blind cane system,hardware implementation,FPGA,high performance computer,embedded system,computational complexity,line laser,inertial measurement unit,CMOS camera | Units of measurement,Computer science,Field-programmable gate array,CMOS sensor,Robustness (computer science),Inertial measurement unit,Computer hardware,Payload,Computational complexity theory | Conference |
ISBN | Citations | PageRank |
978-1-5386-2036-6 | 0 | 0.34 |
References | Authors | |
5 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fan Kun | 1 | 0 | 0.68 |
| Lyu Congyi | 2 | 2 | 4.78 |
| Yunhui Liu | 3 | 9 | 7.34 |
| Zhou Weiguo | 4 | 2 | 1.74 |
| Xin Jiang | 5 | 150 | 32.43 |
| Li Peng | 6 | 59 | 9.08 |
| Haoyao Chen | 7 | 189 | 23.79 |