Enhancing Robust 3D Object Detection for Autonomous Vehicles via Density-Aware Adaptive Thresholding

A novel adaptive thresholding algorithm that dynamically adjusts object detection thresholds based on the distance from the ego-vehicle, minimizing false negatives and reducing false positives in urban scenarios to enhance the robustness of 3D object detection for autonomous driving.