Simultaneous localization and mapping (SLAM) is a hot issue in the field of unmanned system. It is an essential task for the development of autonomous robots.The research achievements and historical development of SLAM are reviewed in this paper. And the key technologies such as detection and ...
Multi-robot SLAM: An Overview and Quantitative Evaluation of MRGS ROS Framework for MR-SLAMIn recent years, multi-robot systems (MRS) have received attention from researchers in academia, government laboratories and industry. This research activity has borne fruit in tackling some of the......
This section highlights the differences between our paper and numerous notable research papers. These surveys cover a wide range of topics and are complementary. The work listed inTable 1can provide an overview of the domain to those who are unfamiliar with it. The “F” in theTable 1represent...
The integration of AI across industries has recently become mainstream, in most fields except space technology. This overview follows Heintz (Heintz, 2022). A key reason that aerospace lags is simply the high stakes: some missions are too big to fail; some represent national prestige; still othe...
a globally consistent estimate of the camera/robot trajectory and map. Global consistency is achieved by realizing that a previously mapped area has been re-visited (loop closure) and this information is used to reduce the drift in the estimates. Figure1shows an overview of VO and SLAM systems...
An Overview to Visual Odometry and Visual SLAM Applications to Mobile Robotics Iterative Closest Point (ICP) algorithm:Besl, P., McKay, N.: A method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14(2), 239–256 (1992)...
The main goal of this overview is to provide an intuitive understanding of mainstream algorithms that have made significant contributions to monocular depth estimation. We review some related works in monocular depth estimation from the aspect of learning methods, including the loss function and network...
4005 ENHANCING SEMANTIC COMMUNICATION WITH DEEP GENERATIVE MODELS: AN OVERVIEW 2412 ENHANCING SHORT- AND LONG-TERM SEA SURFACE TEMPERATURE FORECASTING WITH A STATIC AND DYNAMIC LEARNABLE PERSONALIZED GRAPH CONVOLUTION NETWORK 8670 ENHANCING SPATIAL AUDIO GENERATION WITH SOURCE SEPARATION AND CHANNEL PANNING LO...
Visual SLAM, planning, and control 3.5.2 Completeness, optimality, and soundness Completeness is a property of the algorithm that guarantees to find at least one solution, provided one exists. Complete algorithms find at least one trajectory that connects the source and the goal. There may be si...
Nonetheless, the related literature has also studied a blend of both tasks that can be developed at the same time. This concept is known as Simultaneous Localization And Mapping (SLAM) and consists in modeling the environment as the robot moves through it and, at the same time, estimating ...