arXiv:2006.15603
Exploiting Diffuse Multipath in 5G SLAM
원문 초록
5G millimeter wave (mmWave) signals can be used to jointly localize the receiver and map the propagation environment in vehicular networks, which is a typical simultaneous localization and mapping (SLAM) problem. Mapping the environment is challenging, due to measurements comprising both specular and diffuse multipath components, and diffuse multipath is usually considered as a perturbation. We here propose a novel method to utilize all available multipath signals from each landmark for mapping and incorporate this into a Poisson multi-Bernoulli mixture for the 5G SLAM problem. Simulation results demonstrate the efficacy of the proposed scheme.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
SuperPoint-SLAM3: Augmenting ORB-SLAM3 with Deep Features, Adaptive NMS, and Learning-Based Loop Closure
LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping
SupeRANSAC: One RANSAC to Rule Them All
Place Recognition: A Comprehensive Review, Current Challenges and Future Directions
SLAM&Render: A Benchmark for the Intersection Between Neural Rendering, Gaussian Splatting and SLAM
Embracing Dynamics: Dynamics-aware 4D Gaussian Splatting SLAM
토론
이 논문과 연결된 포럼 글이 아직 없습니다.