7 accepted papers
A novel mmWave radar SLAM method is proposed to integrate multi-dimensional information, including velocity, spatial, RCS, and semantics to enable autonomous navigation in subterranean tunnel environments, which are characterized by low visibility and degraded conditions. By combining doppler odomet
Presents corrections to the article “UWB-VIO Fusion for Accurate and Robust Relative Localization of Round Robotic Teams”.
Presents corrections to the article “Joint Velocity Ambiguity Resolution and Ego-Motion Estimation Method for mmWave Radar”.
In this letter, a joint velocity ambiguity resolution and ego-motion estimation radar odometry method is proposed to solve the radar odometry algorithm invalidation caused by radar velocity ambiguity. First, a signal model for the radar odometry is developed for vehicle ego-motion estimation in the
Fast and flexible dense reconstruction has been extensively studied due to its wide application. Considering the efficiency of multi-robot systems, cooperative reconstruction is gaining attention. Classic methods rely on inter-robot loop closures, which cannot work when there is no common area betwe
The relative pose estimation is one of the most fundamental components for multi-robot systems, while it still remains an open and challenging research topic in infrastructure-free environment. In this letter, we target improving the accuracy and robustness of relative pose estimation for ground rob
Radar SLAM has attracted wide attention due to its all-day and all-weather working characteristics in the last decade. The existing radar SLAM systems mainly adopt mechanically pivoting radar with simple principle and high resolution, but this kind of radar has disadvantages such as low frame rate,…