Sensor Data Fusion in Marine Robotics
نویسندگان
چکیده
Sensor data fusion is an important and di cult requirement in marine robotics. This paper examines the role of sensor fusion in three di erent application areas: navigation of autonomous underwater vehicles, acoustic scene reconstruction, and ocean data assimilation. The research issues encountered in these problems include management of uncertainty, modeling of sensor physics, vehicle and environment dynamics, feature extraction, data association, state estimation, and sensor management. Previous research in these areas is reviewed and suggestions for future research are presented.
منابع مشابه
Designing a Home Security System using Sensor Data Fusion with DST and DSMT Methods
Today due to the importance and necessity of implementing security systems in homes and other buildings, systems with higher certainty, lower cost and with sensor fusion methods are more attractive, as an applicable and high performance methods for the researchers. In this paper, the application of Dempster-Shafer evidential theory and also the newer, more general one Dezert-Smarandache theory ...
متن کاملSensor Fusion and Autonomy as a Powerful Combination for Biological Assessment in the Marine Environment
The ocean environment and the physical and biological processes that govern dynamics are complex. Sampling the ocean to better understand these processes is difficult given the temporal and spatial domains and sampling tools available. Biological systems are especially difficult as organisms possess behavior, operate at horizontal scales smaller than traditional shipboard sampling allows, and a...
متن کاملA New Approach to Self-Localization for Mobile Robots Using Sensor Data Fusion
This paper proposes a new approach for calibration of dead reckoning process. Using the well-known UMBmark (University of Michigan Benchmark) is not sufficient for a desirable calibration of dead reckoning. Besides, existing calibration methods usually require explicit measurement of actual motion of the robot. Some recent methods use the smart encoder trailer or long range finder sensors such ...
متن کاملAn Efficient Sensor Fusion Technique for Obstacle Detection
Sensor fusion has an important role in today’s life, especially in the smart world where devices are becoming smarter. Smart devices require reliable and different types of sensory data, fusing them to obtain better information regarding their objectives. Different types of sensors are often fused to acquire information which cannot be acquired by a single sensor alone. Working with several typ...
متن کاملA New Fault Tolerant Nonlinear Model Predictive Controller Incorporating an UKF-Based Centralized Measurement Fusion Scheme
A new Fault Tolerant Controller (FTC) has been presented in this research by integrating a Fault Detection and Diagnosis (FDD) mechanism in a nonlinear model predictive controller framework. The proposed FDD utilizes a Multi-Sensor Data Fusion (MSDF) methodology to enhance its reliability and estimation accuracy. An augmented state-vector model is developed to incorporate the occurred senso...
متن کامل