English(EN) Accuracy- and Real-Time-Aware 4D Radar Preprocessing for Autonomous Driving Perception Systems

新的4D雷达预处理框架提升自动驾驶感知能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-17 04:00

研究人员开发了一个新的4D雷达数据预处理框架，以增强自动驾驶感知系统。该方法包括百分位数三维形状保持（P3DP）和基于核密度估计的多帧噪声点判别（MF-KDE）等技术，旨在提高目标检测精度，同时保持实时性能并控制计算复杂度。还引入了嵌入式与网络得分（ENS）评估指标，以评估预处理方法在资源受限的嵌入式环境中的适用性。 AI

影响这项研究可能带来更强大、更高效的自动驾驶汽车感知系统，从而在复杂条件下提高安全性和性能。

排序理由该集群包含一篇详细介绍新技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Woo-Jin Jung, Dong-Hee Paek, Jeong-Su Park, Seung-Hyun Kong · 2026-09-17 04:00

面向自动驾驶感知系统的精度和实时性感知4D雷达预处理

arXiv:2609.18542v1 Announce Type: new Abstract: 4D radar has emerged as a promising next-generation sensor for improving the robustness of autonomous driving perception systems because of its stable sensing capability under adverse weather conditions. However, deploying 4D radar …

本文如何被排名

报道来源 [1]

面向自动驾驶感知系统的精度和实时性感知4D雷达预处理

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