A Method for Estimating Stationary Reflective Surfaces and Extracting Road Guardrails

The high precision of environmental representation and accurate positioning of road guardrails play crucial roles in millimeter-wave traffic surveillance radar. These factors contribute to the identification and suppression of multipath ghost, which can significantly impact the detection and tracking performance of radar. To this end, we present a novel and highly accurate adaptive approach for estimating road guardrails in this paper, such that the negative effects of multipath can be effectively culled. Specifically, multi-frame data is employed to accurately estimate static clutter in expressway scenes, and then we propose a novel algorithm to extract point clouds from road guardrail. The experimental data reveal that the proposed algorithm provides high precision in terms of estimating fixed reflector surface and extracting point cloud of road guardrail.