Presentation + Paper
5 October 2018 Fusion of millimeter wave radar and RGB-depth sensors for assisted navigation of the visually impaired
Author Affiliations +
Abstract
According to the data from the World Health Organization, 285 million people are estimated to be visually impaired worldwide, and 39 million are blind. It is very difficult for visually impaired people to perceive and avoid obstacles at a distance during their travelling. To address this problem, we propose a sensor fusion system, which combines the RGBDepth sensor and millimeter wave radar sensor, to detect the surrounding obstacles. The range and velocity of multiple obstacles are acquired by the millimeter wave radar based on the principle of frequency modulated continuous wave. The positions of the obstacles are verified by the RGB-Depth sensor based on the contour extraction and MeanShift algorithm. The data fusion algorithm based on particle filters obtains accurate state estimation by fusing RGB-Depth data with millimeter wave radar data. The experiment results show that multiple obstacles with different ranges and angles are successfully detected by the proposed system. The measurement uncertainties are reduced by the data fusion system, meanwhile the effective detectable range is expanded compared to the detection with only RGB-Depth sensor. Moreover, the measurement results are stable when the illumination varies. As a wearable prototype, the sensor fusion system has the characteristics of versatility, portability and cost-effectiveness, which is very suitable for blind navigation application.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ningbo Long, Kaiwei Wang, Ruiqi Cheng, Kailun Yang, and Jian Bai "Fusion of millimeter wave radar and RGB-depth sensors for assisted navigation of the visually impaired", Proc. SPIE 10800, Millimetre Wave and Terahertz Sensors and Technology XI, 1080006 (5 October 2018); https://doi.org/10.1117/12.2324626
Lens.org Logo
CITATIONS
Cited by 11 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Radar

Sensors

Sensor fusion

Cameras

Radar sensor technology

Data fusion

RELATED CONTENT

An architecture for sensor modular autonomy for counter-UAS
Proceedings of SPIE (October 08 2018)
Fusion of radar and EO sensors for surveillance
Proceedings of SPIE (August 16 2001)
Scale-model rocket experiments (SRE)
Proceedings of SPIE (July 17 1998)
Multisensor configurations for early sniper detection
Proceedings of SPIE (October 05 2011)

Back to Top