However, in the face of complex real-world environments, current dynamic SLAM systems struggle to achieve precise localization and map construction. With the advancement of deep learning, there has been increas
Experiments are performed on an Intel Core i7-6700 × 8@3.40GHz computer with 16 Gb RAM.The EuRoC datasets consist of 11 visual inertial sequences recorded onboard a micro-aerial vehicle while it is manually piloted around three different indoor environments. Within each environment, the sequence...
In terms of the rendering method, 3D GS abandons the ray tracing method represented by NeRF and uses the fast micronizable rasterization method of a Graphics Processing Unit (GPU) for rendering, which significantly accelerates the training process and can render in real time. 3D GS uses ellipsoi...
Developing a method to determine informative features from images is an important aspect of visual SLAM, in which SLAM is performed using only camera inputs [251]. Image pre-processing with feature selection reduces the computational burden of scanning all the pixels in images, leading to many ac...
Visual SLAM (simultaneous localization and mapping) refers to the problem of using images, as the only source of external information, in order to establish the position of a robot, a vehicle, or a moving camera in an environment, and at the same time, construct a representation of the expl...
SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back
作者提到以下文章,”In this work, researchers highlight that the most important factor when using any of these filters is the adequate linearization of the system.“ 可以去看下adequate linearization。 A. Barrau and S. Bonnabel, “An EKF-SLAM algorithm with consistency properties,” 2016, December...
applied dynamic susceptibility contrast perfusion MRI (DSC-MRI), dynamic contrast-enhanced perfusion MRI (DCE-MRI), diffusion-weighted MRI (DWI), arterial spin labelling (ASL), amide proton transfer-weighted MRI (APTw-MRI), 18F-fluoroethyltyrosine PET (FET-PET), and combinations of these ...
Cheng J, Zhang L, Chen Q, Hu X, Cai J (2022) A review of visual SLAM methods for autonomous driving vehicles. Eng Appl Artif Intell 114:104992–105008 MATH Google Scholar Jing H, Gao Y, Shahbeigi S, Dianati M (2022) Integrity monitoring of GNSS/INS based positioning systems for au...
However, these papers cope with the SLAM problem only for navigation, with no discussion on the issues posed by the complex operational context and no explanation on how the obtained map can be useful for agricultural purposes. The problem of autonomous navigation for mobile robots in agriculture ...