Passive Sensing of Electrically Conductive Concrete for Lateral Vehicle Positioning

Sachindra Dahal, J. Roesler
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Abstract

Autonomous vehicles (AV) offer multiple safety benefits for drivers and road agencies. Current AV technology allow for vehicle control, guidance, and navigation as well as communication with other vehicles and roadside infrastructure. To see significant penetration of Level 4 or 5 AV without compromising safety, redundant vehicle to infrastructure sensing capabilities are necessary especially during severe weather conditions. Existing vehicle technology is not able to communicate with the concrete and asphalt pavements without embedded sensors. An eddy current technique is proposed that detects local changes in the concrete's electrical conductance so that AV can determine their lateral lane position. Concrete slab specimens with varying dimensions and dosages of steel-fiber reinforced concrete (SFRC) were tested under normal and adverse surface conditions (standing water or ice) as well as separation distance from the transmitter coil. The longitudinal segment of SFRC's material was successfully located as the coil moved laterally across the surface even under these adverse surface conditions. This pilot study demonstrates a reliable and robust technique using changes in the concrete's electrical conductance to provide lateral positioning redundancy to AV control and guidance.
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用于车辆横向定位的导电混凝土被动传感
自动驾驶汽车(AV)为驾驶员和道路管理机构提供了多种安全优势。目前的自动驾驶技术允许车辆控制、引导和导航,以及与其他车辆和路边基础设施的通信。为了在不影响安全性的情况下实现4级或5级自动驾驶汽车的大规模普及,车辆对基础设施的冗余传感能力是必要的,尤其是在恶劣天气条件下。如果没有嵌入式传感器,现有的车辆技术无法与混凝土和沥青路面进行通信。提出了一种涡流技术,可以检测混凝土电导率的局部变化,从而使自动驾驶汽车能够确定其横向车道位置。在正常和恶劣的表面条件(静水或结冰)以及与发射机线圈的分离距离下,测试了不同尺寸和剂量的钢纤维增强混凝土(SFRC)混凝土板试件。即使在这些不利的表面条件下,当线圈在表面上横向移动时,SFRC材料的纵向段也被成功定位。这项初步研究展示了一种可靠而稳健的技术,通过改变混凝土的电导率,为自动驾驶汽车的控制和制导提供横向定位冗余。
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