Results 201 to 210 of about 25,488 (234)
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Multimodal Sensors Fusion SLAM Based on Local Control and Multiscale Distance Analysis

IEEE Sensors Journal
Multimodal sensor fusion exhibits formidable advantages in simultaneous localization and mapping (SLAM). Nevertheless, integrating measurements from multimodal sensors at varying timestamps and frequencies can lead to the loss of certain state ...
Ruilin Zeng   +3 more
semanticscholar   +1 more source

Research on ship trajectory monitoring methods based on multisource data

International Conference on Big Data, Computational Intelligence and Applications
Multisource data fusion has emerged as a pivotal technique for overcoming the inherent limitations of single-modality ship tracking systems in maritime environments. This paper proposes a robust ship trajectory monitoring framework.
Jixiang Que
semanticscholar   +1 more source

Stability Analysis in LiDAR Odometry Through Kalman Filter Fusion and Fourier-Based Analytical Differentiation

2026 10th International Conference on Mechanical Engineering and Robotics Research (ICMERR)
This paper presents the development and evaluation of a data fusion system designed to improve trajectory estimation in autonomous vehicles. The methodology integrated the LeGO-LOAM algorithm for processing point clouds from the KITTI dataset, thereby ...
José Carlos Sánchez Tapia   +2 more
semanticscholar   +1 more source

Development of a Multimodal Fusion Intrusion Detection Intelligent System for Spatiotemporal Data of Intelligent Connected Vehicles

2026 IEEE 6th International Conference on Electronic Technology, Communication and Information (ICETCI)
This paper develops a multimodal fusion intrusion detection intelligent system for spatiotemporal data of intelligent connected vehicles. The system adopts a three-level architecture of vehicle-side data acquisition, edge detection, and cloud ...
Jingtao Chen   +3 more
semanticscholar   +1 more source

Mobile Robot Trajectory Reconstruction with UHF-RFID Synthetic Aperture Localization

IEEE International Conference on RFID-Technologies and Applications
This work presents a numerical analysis concerning a mobile robot trajectory reconstruction method based on Synthetic Aperture Localization with passive UHF-RFID technology and sensor fusion.
A. Motroni, Emanuele Tavanti, P. Nepa
semanticscholar   +1 more source

Application Analysis of Artificial Intelligence Big Data Models in Autonomous Driving

Science and Technology of Engineering, Chemistry and Environmental Protection
In recent years, driving assistance systems have gradually gained a foothold in the automotive industry’s technology. Although the concept was proposed over half a century ago, it has only entered the public eye in recent years due to limitations in ...
Xin Hao
semanticscholar   +1 more source

Perception Sensors-Based Fusion System and Method for Controlling Vehicle

International Conference Emerging Trends Engineering, Science and Technology
Safe vehicle control under varying environmental conditions using autonomous driving needs real-time, reliable and accurate perception systems. This paper describes a Perception Sensors-Based Fusion System and Method to Control the Vehicle with a Hybrid ...
A. Khansole   +4 more
semanticscholar   +1 more source

Precise orbit determination through a joint analysis of optical and radiometric data

2024 International Conference on Space Robotics (iSpaRo)
The next-generation space robotic missions will require autonomous probes capable to carry out complex navigation tasks with limited human input. Innovative data-fusion techniques are currently under development to support real-time spacecraft navigation
S. Andolfo   +4 more
semanticscholar   +1 more source

Research on Human Motion Trajectory Capture Algorithm Based on PDR/UWB

International Conference on the Software Process
Motion capture technology is an important means of recording and analyzing motion data in digital sports. Pedestrian Dead Reckoning (PDR) is commonly used to estimate pedestrian trajectories in inertial-based motion capture.
Xu Zhang, M. Wei, Shihu Zhu, Wenshuai Li
semanticscholar   +1 more source

Evaluating Coordinated Turn Model-Based EKF for Multi-Sensor Target Tracking in Curved Maneuvers

2026 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)
The Coordinated Turn Model (CTM) is a widely adopted approach for multi-sensor fusion in tracking applications involving targets executing curved maneuvers.
Raviramanan V, U. S.
semanticscholar   +1 more source

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