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首页> 外文期刊>IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences >Object Detection Using RSSI with Road Surface Reflection Model for Intersection Safety
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Object Detection Using RSSI with Road Surface Reflection Model for Intersection Safety

机译：使用RSSI和道路反射模型的道路交叉口安全目标检测

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We have developed a dedicated onboard "sensor" utilizing wireless communication devices for collision avoidance around road intersections. The "sensor" estimates the positions of transmitters on traffic participants by comparing the strengths of signals received by four Zig-Bee receivers installed at the four corners of a vehicle. On-board sensors involving cameras cannot detect objects in non line-of-sight (NLOS) area caused by buildings and other vehicles. Although infrastructure sensors for vehicle-to-infrastructure (V2I) cooperative systems can detect such hidden objects, they are substantially more expensive than on-board sensors. The on-board wireless "sensor" developed in this work would function as an alternative tool for collision avoidance around intersections. Herein, we extend our previous work by considering a road surface reflection model to improve the estimation accuracy. By using this model, we succeeded in reducing the error mismatches between the observed data and the calibration data of the estimation algorithm. The proposed system will be realized on the basis of these enhancements.
机译：我们已经开发出一种专用的车载“传感器”，该传感器利用无线通信设备来避免道路交叉口周围的碰撞。 “传感器”通过比较安装在车辆四个拐角处的四个Zig-Bee接收器接收到的信号强度，来估计交通参与者上的发射器位置。涉及摄像机的车载传感器无法检测到建筑物和其他车辆造成的非视线（NLOS）区域中的物体。尽管用于车辆到基础设施（V2I）协作系统的基础设施传感器可以检测到这些隐藏的对象，但是它们比车载传感器昂贵得多。在这项工作中开发的车载无线“传感器”将作为交叉路口避碰的替代工具。在此，我们通过考虑路面反射模型来扩展先前的工作，以提高估计精度。通过使用该模型，我们成功地减少了观测数据与估计算法的校准数据之间的误差失配。拟议的系统将在这些增强的基础上实现。

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