摘要翻译:
电动轮椅使用者每天都遇到行动障碍。进入无障碍区域的建筑会极大地影响与用户移动性相关的活动。有一些商业设备和一些实验性的设备可以爬楼梯,例如使用带有关节的自适应轮子或毛毛虫驱动。这些系统依赖于传感和控制的使用。为了安全地自动越障,必须对周围环境进行鲁棒的不变检测。雷达可能被证明是一种合适的传感器,因为它有能力处理恶劣的室外环境条件。本文介绍了一种基于反射镜的二维调频连续波(FMCW)雷达楼梯检测扫描仪。提出了一种基于雷达图像的楼梯尺寸标注方法,并在实验室和实际条件下进行了验证。
---
英文标题:
《Stairs Detection for Enhancing Wheelchair Capabilities Based on Radar
Sensors》
---
作者:
Sherif Abdulatif (1), Bernhard Kleiner (1), Fady Aziz (1), Christopher
Riehs (1), Rory Cooper (2), Urs Schneider (1) ((1) Fraunhofer Institute for
Manufacturing Engineering and Automation IPA, (2) Human Engineering Research
Laboratories, University of Pittsburg)
---
最新提交年份:
2017
---
分类信息:
一级分类:Computer Science 计算机科学
二级分类:Human-Computer Interaction 人机交互
分类描述:Covers human factors, user interfaces, and collaborative computing. Roughly includes material in ACM Subject Classes H.1.2 and all of H.5, except for H.5.1, which is more likely to have Multimedia as the primary subject area.
包括人为因素、用户界面和协作计算。大致包括ACM学科课程H.1.2和所有H.5中的材料,除了H.5.1,它更有可能以多媒体作为主要学科领域。
--
一级分类:Computer Science 计算机科学
二级分类:Robotics 机器人学
分类描述:Roughly includes material in ACM Subject Class I.2.9.
大致包括ACM科目I.2.9类的材料。
--
一级分类:Electrical Engineering and Systems Science 电气工程与系统科学
二级分类:Signal Processing 信号处理
分类描述:Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用,包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、(生物)医学、图像、视频和多模态自然和人为信号,包括通信信号和数据。感兴趣的主题包括:统计信号处理、谱估计和系统辨识;滤波器设计;自适应滤波/随机学习;(压缩)采样、传感和变换域方法,包括快速算法;用于机器学习的信号处理和用于信号处理应用的
机器学习;网络与图形信号处理;信号处理中的凸和非凸优化方法;雷达、声纳和传感器阵列波束形成和测向;通信信号处理;低功耗、多核、片上系统信号处理;信息物理系统的传感、通信、分析和优化,如电网和物联网。
--
---
英文摘要:
Powered wheelchair users encounter barriers to their mobility everyday. Entering a building with non barrier-free areas can massively impact the user mobility related activities. There are a few commercial devices and some experimental that can climb stairs using for instance adaptive wheels with joints or caterpillar drive. These systems rely on the use for sensing and control. For safe automated obstacle crossing, a robust and environment invariant detection of the surrounding is necessary. Radar may prove to be a suitable sensor for its capability to handle harsh outdoor environmental conditions. In this paper, we introduce a mirror based two dimensional Frequency-Modulated Continuous-Wave (FMCW) radar scanner for stair detection. A radar image based stair dimensioning approach is presented and tested under laboratory and realistic conditions.
---
PDF链接:
https://arxiv.org/pdf/1711.09206