3 accepted papers
Tightly coupled LiDAR–inertial odometry (LIO) systems are critical for autonomous navigation, yet their performance often degrades due to insufficient adaptability to diverse environments and limitations in map representation. To address these limitations, this paper presents GMM-LIO, a robust and a…
Robust all-weather localization is a critical capability for autonomous systems. While 4D mmWave radar offers superior resilience to adverse environmental conditions compared to LiDAR and cameras, its application in high-precision Simultaneous Localization and Mapping (SLAM) is hindered by significa…
4D mmWave radar provides the point cloud with range, azimuth, elevation, Doppler velocity and operates normally in severe weather conditions. However, due to wavelength characteristics, the noisy and sparse point cloud that 4D radar collects poses great challenges for SLAM research. In this paper, w