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Monocular-Based SLAM for Mobile Robots: Filtering-Optimization Hybrid Approach
The SLAM or Simultaneous Localization and Map** still remains one of the most important problems to be fully addressed in the path to building...
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A Multisession SLAM Approach for RatSLAM
To successfully perform autonomous navigation, mobile agents must solve the Simultaneous Localization and Map** (SLAM) problem. However, acquiring...
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Deep introspective SLAM: deep reinforcement learning based approach to avoid tracking failure in visual SLAM
Reliable and consistent tracking is essential to realize the dream of power-on-and-go autonomy in mobile robots. Our investigation with...
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LVIF: a lightweight tightly coupled stereo-inertial SLAM with fisheye camera
To enhance the real-time performance and reduce CPU usage in feature-based visual SLAM, this paper introduces a lightweight tightly coupled...
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An Efficient Computational Hybrid Filter to the SLAM Problem for an Autonomous Wheeled Mobile Robot
The using of an autonomous wheeled mobile robot (AWMR) that perform diverse processes in a numerous number of applications without human’s...
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A Hybrid FAST-LIO2 and SC-A-LOAM SLAM Algorithm for Autonomous Vehicles
Incorporating simultaneous localization and map** (SLAM) techniques empowers robots to construct environmental maps while concurrently pinpointing...
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Camera, LiDAR and Multi-modal SLAM Systems for Autonomous Ground Vehicles: a Survey
Simultaneous Localization and Map** (SLAM) have been widely studied over the last years for autonomous vehicles. SLAM achieves its purpose by...
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RGB-D SLAM in Dynamic Environments with Multilevel Semantic Map**
Dynamic environments pose a severe challenge to visual SLAM as moving objects invalidate the assumption of a static background. While recent works...
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Advances in Simultaneous Localization and Map** (SLAM) for Autonomous Mobile Robot Navigation
In robotics and autonomous systems, a fundamental problem known as simultaneous localization and map** (SLAM) seeks to allow a robot to both map an...
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A UAV Visual SLAM System for Post-disaster Emergency Map**
Post-disaster emergency surveying and map** information is a key information resource to assist post-disaster rescue and reconstruction. In recent...
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Real-time monocular visual–inertial SLAM with structural constraints of line and point–line fusion
In order to solve the problem of poor performance of traditional point feature algorithm under low texture and poor illumination, this paper presents...
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A Multisensor Factor-Graph SLAM Framework for Steep Slope Vineyards
Steep slope vineyards pose specific challenges for autonomous robot navigation, therefore requiring accurate, robust and scalable localization and...
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FSD-SLAM: a fast semi-direct SLAM algorithm
Current visual-based simultaneous localization and map**(SLAM) system suffers from feature loss caused by fast motion and unstructured scene in...
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Moving Horizon Estimation SLAM for Agile Vehicles in 3-D Environments
The ability for a robot to be able to construct a map of the environment and recognize its position on it was one of the biggest developments in...
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Image based Localization under large perspective difference between Sfm and SLAM using split sim(3) optimization
Image based Localization (IbL) uses both Structure from Motion (SfM) and Simultaneous Localization and Map** (SLAM) data for accurate pose...
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A Human-Inspired Semantic SLAM Based on Parking-Slot Number for Autonomous Valet Parking
With the rapid development of automatic driving field, automatic parking has become increasingly concerned commercially. SLAM (Simultaneous...
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Loop Closure Detection based on Image Covariance Matrix Matching for Visual SLAM
Loop closure detection is an indispensable part of visual simultaneous location and map** (SLAM). Correct detection of loop closure can help mobile...
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Indoor High-Precision 3D-SLAM Algorithm Incorporating Planar Element Features
A high-precision UAV 3D positioning map** method, PLP-SLAM, is developed to improve the accuracy of data association by adding planar feature...
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SLAM Using Neural Network-Based Depth Estimation for Auto Vehicle Parking
Simultaneous localization and map** (SLAM) has been implemented as the standard technique for introducing autonomy in mobile robots or vehicles...
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Spatial Gating with Hybrid Receptive Field for Robot Visual Localization
Visual localization for mobile robots is a sophisticated and challenging task that necessitates the extraction of pertinent scene information from...
