4 accepted papers
The emerging field of Vision-Language-Action (VLA) for humanoid robots faces several fundamental challenges, including the high cost of data acquisition, the lack of a standardized benchmark, and the significant gap between simulation and the real world. To overcome these obstacles, we propose RealM…
Embodied intelligence requires precise reconstruction and rendering to simulate large-scale real-world data. Although 3D Gaussian Splatting (3DGS) has recently demonstrated high-quality results with real-time performance, it still faces challenges in indoor scenes with large, textureless regions, re
A mobile mapping system (MMS) is a widely-used moving platform for the acquisition of rich geospatial information and requires sensor calibration to guarantee data quality. Global navigation satellite system (GNSS) sensor and light detection and ranging (LiDAR) are important parts of an MMS, and the
We propose a framework for odometry, mapping and ground segmentation using a backpack LiDAR system that achieves both real-time and low-drift performance. First, we present a spatio-temporal calibration method to carefully merge scans from the two laser scanners on a backpack. Second, we propose a f