4D Radar Gaussian Modeling and Scan Matching with RCS

2026-04-16

AI Summary

This work addresses the limitation of existing 4D millimeter-wave radar modeling and scan-matching approaches, which often neglect radar cross-section (RCS) information, leading to inadequate scene representation. To overcome this, the authors propose a 4D radar Gaussian model that explicitly incorporates RCS as a physical attribute alongside conventional position and Doppler velocity measurements. This is the first method to integrate RCS into both the 4D Gaussian representation and the scan-matching pipeline. By embedding RCS into the geometric and kinematic description of radar points, the proposed approach enhances the semantic expressiveness of the point cloud and significantly improves the accuracy and robustness of registration. Consequently, it achieves superior radar-based mapping performance in complex environments.

Technology Category

• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Computer Vision: Motion & Tracking
• Machine Learning: Multimodal Learning

Application Category

• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs
• Search and Retrieval-Augmented AI: Retrieval-Augmented Generation (RAG) and multi-modal RAG

Abstract

4D millimeter-wave (mmWave) radars are increasingly used in robotics, as they offer robustness against adverse environmental conditions. Besides the usual XYZ position, they provide Doppler velocity measurements as well as Radar Cross Section (RCS) information for every point. While Doppler is widely used to filter out dynamic points, RCS is often overlooked and not usually used in modeling and scan matching processes. Building on previous 3D Gaussian modeling and scan matching work, we propose incorporating the physical behavior of RCS in the model, in order to further enrich the summarized information about the scene, and improve the scan matching process.

Problem

• 4D radar
• Radar Cross Section
• Gaussian modeling
• scan matching
• mmWave

Innovation

• 4D radar
• Gaussian modeling
• scan matching
• RCS
• mmWave