With the widespread adoption of smartphones, ensuring pedestrian safety on
roads has become a critical concern due to smartphone distraction. This paper
proposes a novel and real-time assistance system called UWB-assisted Safe Walk
(UASW) for obstacle detection and warns users about real-time situations. The
proposed method leverages Impulse Radio Ultra-Wideband (IR-UWB) radar embedded
in the smartphone, which provides excellent range resolution and high noise
resilience using short pulses. We implemented UASW specifically for Android
smartphones with IR-UWB connectivity. The framework uses complex Channel
Impulse Response (CIR) data to integrate rule-based obstacle detection with
artificial neural network (ANN) based obstacle classification. The performance
of the proposed UASW system is analyzed using real-time collected data. The
results show that the proposed system achieves an obstacle detection accuracy
of up to 97% and obstacle classification accuracy of up to 95% with an
inference delay of 26.8 ms. The results highlight the effectiveness of UASW in
assisting smartphone-distracted pedestrians and improving their situational
awareness.

提出了一种名为 UWB 辅助安全步行（UASW）的新颖实时辅助系统，旨在通过障碍物检测并提醒用户实时情况来确保道路上行人的安全，该系统利用了嵌入在智能手机中的脉冲无线超宽带（IR-UWB）雷达，通过使用短脉冲提供出色的距离分辨率和高抗噪性，借助基于规则的障碍物检测和基于人工神经网络（ANN）的障碍物分类将复杂的通道冲击响应（CIR）数据融合在一起，通过实时采集的数据分析了提出的 UASW 系统的性能，结果表明该系统实现了高达 97% 的障碍物检测准确率和高达 95% 的障碍物分类准确率，推进了 UASW 在帮助分散注意力的行人和提高他们的情境意识方面的有效性。