We present a memory-efficient algorithm, named Single-Pass Gaussian Fitting (SPGF), that accurately constructs a compact Gaussian Mixture Model (GMM)
Abstract—Computing consumes a significant portion of en- ergy in many robotics applications, especially the ones involving energy-constrained robots.
Memory-efficient Gaussian fitting for depth images in real time. PZX Li, S Karaman, V Sze. 2022 International Conference on Robotics and Automation (ICRA) ...
In this work, we present a memory-efficient algorithm, named Single-Pass Gaussian Fitting (SPGF), that accurately constructs a compact Gaussian Mixture Model ( ...
2023/12/26 · GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model ... Memory-Efficient Gaussian Fitting for Depth Images in Real Time.
期間: 16:34
投稿: 2023/12/26
投稿: 2023/12/26
Using a low-power ARM Cortex A57 CPU, GMMap can be constructed in real-time at up to 60 images per second. ... Memory-Efficient Gaussian Fitting for Depth Images ...
In this work, we present a memory-efficient continuous occupancy map, named GMMap, that accurately models the 3D environment using a Gaussian mixture model (GMM) ...
Our approach offers the ability to render new viewpoints in real-time, yielding 2D and 3D semantic information with high accuracy, and reconstruct dynamic ...
2024/01/01 · Memory-efficient GMMap construction is enabled by the single-pass compression of depth images into local GMMs, which are directly fused together ...