Extraction of Pedestrian Position and Attribute Information Based on the Integration of LiDAR and Smartphone Sensors
Extraction of Pedestrian Position and Attribute Information Based on the Integration of LiDAR and Smartphone Sensors
复制标题
基于激光雷达和智能手机传感器集成的行人位置和属性信息提取
DOI：
10.1109/icma52036.2021.9512649
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Hiroaki Takada
中科院分区：
文献类型：
--
作者：
Zhengshu Zhou;Saya Kitamura;Yousuke Watanabe;Shunya Yamada;Hiroaki Takada
道路基础设施中的行人检测传感器和智能手机中安装的GPS传感器已被用于检测行人的驾驶安全支持系统。然而，道路基础设施中的行人检测传感器虽然可以高精度地检测行人的位置，但无法获取行人的属性信息。相反，智能手机的内置传感器可以发送GPS位置信息、用户识别符和用户的属性信息，但它在GPS位置信息中有从几米到几十米的误差幅度。这使得同时获取行人的高精度位置和属性信息变得不可能。到目前为止，还没有关于同时获取行人高精度位置和属性信息的研究。为了填补这一空白，本文提出了一种基于多传感器融合的实时提取行人高精度位置信息和属性信息的方法。此外，还通过实验对该方法进行了评估。
Pedestrian detection sensors in road infrastructure and GPS sensors mounted in smartphones have been used in driving safety support systems for detecting pedestrians. However, although pedestrian detection sensors in road infrastructure can detect pedestrians' high-precision position, they cannot acquire the attribute information of pedestrians. Conversely, a smartphone's built-in sensor can send GPS location information, user identifier, and the attribute information of a user, but it has a margin of error from meters to more than tens of meters in GPS location information. This renders acquiring a pedestrian's high-precision location and attribute information simultaneously impossible. To date, no research on the simultaneous acquisition of pedestrian high-precision position and attribute information has been conducted. To fill this gap, this paper proposes an approach to extract both pedestrian high-precision position and attribute information in real-time based on multi-sensor fusion. Moreover, an experiment is conducted to evaluate the proposed approach.