Results 81 to 90 of about 1,309 (133)
Trajectory Tracking pada Robot Omni dengan Metode Odometry
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2019 This paper presents trajectory tracking on omni robots using odometry method. The odometry system aims to estimate the position relative to the initial position of the omni robot to estimate changes in position over time.
Fahmizal Fahmizal +3 more
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Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization
Applied SciencesThis paper provides an in-depth review of deep learning techniques to address the challenges of odometry and global ego-localization using frequency modulated continuous wave (FMCW) radar sensors.
Marvin Brune, Tobias Meisen, André Pomp
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Selection of Filtration Methods in the Analysis of Motion of Automated Guided Vehicle
Measurement Science Review, 2016 In this article the issues related to mapping the route and error correction in automated guided vehicle (AGV) movement have been discussed. The nature and size of disruption have been determined using the registered runs in experimental studies.
Dobrzańska Magdalena +3 more
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Thermal odometry and dense mapping using learned odometry and Gaussian splatting
CoRR11 pages, 2 figures, 5 ...
Tianhao Zhou +4 more
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Sensors, 2018 Localization algorithms based on global navigation satellite systems (GNSS) play an important role in automotive positioning. Due to the advent of autonomously driving cars, their importance is expected to grow even further in the next years ...
Björn Reuper +2 more
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Neural Network Based Uncertainty Prediction for Autonomous Vehicle Application
Frontiers in Neurorobotics, 2019 This paper proposes a framework for uncertainty prediction in complex fusion networks, where signals become available sporadically. Assuming there is no information of the sensor characteristics available, a surrogated model of the sensor uncertainty is ...
Feihu Zhang +4 more
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COMO: Compact Mapping and Odometry
We present COMO, a real-time monocular mapping and odometry system that encodes dense geometry via a compact set of 3D anchor points. Decoding anchor point projections into dense geometry via per-keyframe depth covariance functions guarantees that depth maps are joined together at visible anchor points.
Eric Dexheimer, Andrew J. Davison
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Neural Ranging Inertial Odometry
2025 IEEE International Conference on Robotics and Automation (ICRA)Ultra-wideband (UWB) has shown promising potential in GPS-denied localization thanks to its lightweight and drift-free characteristics, while the accuracy is limited in real scenarios due to its sensitivity to sensor arrangement and non-Gaussian pattern induced by multi-path or multi-signal interference, which commonly occurs in many typical ...
Si Wang +5 more
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2024 International Conference on 3D Vision (3DV)Event cameras offer the exciting possibility of tracking the camera's pose during high-speed motion and in adverse lighting conditions. Despite this promise, existing event-based monocular visual odometry (VO) approaches demonstrate limited performance on recent benchmarks.
Simon Klenk +3 more
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Research on a Low-Cost High-Precision Positioning System for Orchard Mowers
AgricultureTo regulate the energy flow in orchard ecosystems and maintain the environment, weeding has become a necessary measure for fruit farmers, and the use of automated mowers can help reduce labor costs and improve the economic efficiency of orchards. However,
Ke Fei +6 more
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