Results 61 to 70 of about 1,309 (133)
Sensors, 2019 This study presents a new technique to improve the indoor localization of a mobile node by utilizing a Zigbee-based received-signal-strength indicator (RSSI) and odometry.
Anbalagan Loganathan +2 more
doaj +1 more source
Virtual Elastic Tether: A New Approach for Multi‐Agent Navigation in Confined Aquatic Environments
Journal of Field Robotics, Volume 43, Issue 5, Page 3332-3350, August 2026.ABSTRACT Underwater navigation is a challenging area in the field of mobile robotics due to inherent constraints in self‐localization and communication in underwater environments. Some of these challenges can be mitigated by using collaborative multi‐agent teams.
Kanzhong Yao +5 more
wiley +1 more source
SensorsGeomagnetic matching navigation is extensively utilized for localization and navigation of autonomous robots and vehicles owing to its advantages such as low cost, wide-area coverage, and no cumulative errors.
Qinghua Luo +5 more
doaj +1 more source
Improving Odometric Accuracy for an Autonomous Electric Cart
Sensors, 2018 In this paper, a study of the odometric system for the autonomous cart Verdino, which is an electric vehicle based on a golf cart, is presented. A mathematical model of the odometric system is derived from cart movement equations, and is used to compute ...
Jonay Toledo +4 more
doaj +1 more source
Control System for the Navigation of the Agricultural Robots: A Review
Journal of Field Robotics, Volume 43, Issue 5, Page 3474-3505, August 2026.ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía +3 more
wiley +1 more source
Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang +3 more
wiley +1 more source
Extrinsic Calibration and Odometry for Camera-LiDAR Systems
IEEE Access, 2019 Most autonomous mobile robots are often equipped with monocular cameras and 3D LiDARs to perform vital tasks such as localization and mapping. In this paper, we present a two-stage extrinsic calibration method as well as a hybrid-residual-based odometry ...
Chenghao Shi +5 more
doaj +1 more source
High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation
Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger +3 more
wiley +1 more source
Sensor Aware Lidar Odometry [PDF]
2019 European Conference on Mobile Robots (ECMR), 2019 A lidar odometry method, integrating into the computation the knowledge about the physics of the sensor, is proposed. A model of measurement error enables higher precision in estimation of the point normal covariance. Adjacent laser beams are used in an outlier correspondence rejection scheme.
Dmitri Kovalenko +2 more
openaire +2 more sources
Uncertainty Quantification of First Fix in a Time-Differenced Carrier Phase Observation Model
SensorsThis paper presents an uncertainty quantification analysis of the first fix in a time-differenced carrier phase (TDCP) observation model. TDCP is a widely used method in GNSS-based odometry for precise positioning and displacement estimation. A key point
Hakim Cherfi +3 more
doaj +1 more source