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Fuzzy-Logic-Based, Obstacle Information-Aided Multiple-Model Target Tracking
2019
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In this paper, we propose a fuzzy-logic-based method incorporating new obstacle information into the interacting multiple-model (IMM) algorithm (FOIA-MM). ...
Incorporating obstacle information into maneuvering target-tracking algorithms may lead to a better performance when the target when the target maneuver is caused by avoiding collision with obstacles. ...
Figure 3 . 3 The schematic block diagram of the fuzzy-logic-based obstacle information-aided multiple-model (FOIA-MM) algorithm. ...
doi:10.3390/info10020048
fatcat:a7n6aa6ujzcg5g3wzenmrzghr4
Fuzzy Logic-Based Control for Autonomous Vehicle: A Survey
2017
International Journal of Education and Management Engineering
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Fuzzy set, since its advent has played an important role in control systems and many other area of applications. One of such area is the control of autonomous vehicle. ...
More attention was focused on the fuzzy controllers designed for collision avoidance; as its performance has largely simplified and smoothens the collision avoidance process of an autonomous vehicular ...
Fuzzy control systems (FCS) are classified into two types namely: model-free and model based FCS [44] . ...
doi:10.5815/ijeme.2017.02.05
fatcat:alw6eetrgzhi3dth4zsqi2uof4
Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation
2020
Sensors
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A model of a smart home for safe and robust mobility of blind people has been proposed. Fuzzy logic has been used for simulation. ...
Artificial intelligent devices with multiple input and output methods are used for reliable data estimation based on maximum probability. ...
Using fuzzy logic controller, a reliable device for obstacle avoidance, whether static or dynamic, along with target tracking has been proposed. ...
doi:10.3390/s20133674
pmid:32630055
pmcid:PMC7374361
fatcat:7zh4gpjebffllp4p3dcgnbq5ta
A comprehensive study for robot navigation techniques
2019
Cogent Engineering
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Two different fuzzy logic controllers: obstacle avoidance fuzzy logic control (OAFLC) and tracking fuzzy logic control (TFLC) helps robot to find collision free path to reach its destination. ...
They presented two fuzzy logic behaviors: Obstacle avoidance behavior (AFLC) and motion to target behavior (MFLC). ...
doi:10.1080/23311916.2019.1632046
fatcat:tbbzjgdbyzhflki37teqcyotmm
Mobile robot navigation and target tracking system
2011
2011 6th International Conference on System of Systems Engineering
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A fuzzy logic controller to be implemented on the computer is considered for control of the robot in obstacle avoidance and target following. ...
Navigation and target tracking are to be performed using a Microsoft Xbox Kinect sensor which provides RGB color and 3D depth imaging data to an x86 based computer onboard the robot running Ubuntu Linux ...
Logic Control of Robot in Target Tracking Mode Generation of Fuzzy Variables for Controller In
TABLE I . ...
doi:10.1109/sysose.2011.5966614
dblp:conf/sysose/BenavidezJ11
fatcat:h7otitnsorhbfpcyfpnycysr3y
Implementation of Fuzzy Aided Kalman Filter for Tracking a Moving Object in Two-Dimensional Space
2018
International Journal of Fuzzy Logic and Intelligent Systems
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The proposed fuzzy logic controller is a multiple input system with nine rules to adapt noise covariance matrices based on the innovation sequence of a Kalman filter. ...
The software based simulation results verified that this unique fuzzy aided Kalman filter has a positive effectiveness for the object tracking problem over conventional Kalman filter because of its capability ...
Extended Kalman filter was coupled with multiple models in [7] to track the target. ...
doi:10.5391/ijfis.2018.18.2.85
fatcat:puvq4y73yjah7dgdg6sz6bk5ka
Practical Moving Target Detection in Maritime Environments Using Fuzzy Multi-sensor Data Fusion
2020
International Journal of Fuzzy Systems
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In this paper, a fuzzy logic-based multi-sensor data fusion algorithm for moving target ships detection has been proposed and designed using both AIS and radar information. ...
A two-stage fuzzy logic association method has been particularly developed and integrated with Kalman filtering to achieve a computationally efficient performance. ...
Figure 8 shows the simulation results of the conventional KF-based AIS-aided target detection and prediction algorithm using the CV model. ...
doi:10.1007/s40815-020-00963-1
fatcat:rqohm5cm3rhi5keo5h3eksbutm
Intelligent threat assessment processor (ITAP) using genetic algorithms and fuzzy logic
2000
Proceedings of the Third International Conference on Information Fusion
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Our novel system integrates a genetic algorithm approach to predicting enemy courses of action (eCOAs), a fuzzy logic-based analysis of predicted eCOAs to infer enemy intent and objectives, and in conjunction ...
We see considerable potential for this approach in enhancing existing tactical decision-aiding systems and addressing future information dominated battlespace requirements. ...
Michael Hinman, of the Air Force Research Laboratory Information Directorate (Rome, NY) for his guidance and support. ...
doi:10.1109/ific.2000.859870
fatcat:u5dnj2wiiree7ipa5mmcb2hblu
An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning
2018
Journal of Advanced Transportation
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Example: NN can help tune the rule base of fuzzy logic which is difficult using fuzzy logic alone [145, 232] Others (Kalman Filter and Fuzzy logic, Visual Based and APF, Wall following and Fuzzy Logic ...
They used fuzzy logic rules to implement a wallfollowing-based obstacle controller. ...
doi:10.1155/2018/8269698
fatcat:fpadrzacozbdnkcqkjduokmoc4
Automatic Car Control with GPS and Camera based on Fuzzy Logic
2016
International Journal of Research Studies in Electrical and Electronics Engineering
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The automatic control is carried out using fuzzy logic and GPS systems in four scenarios. In each scenario, simulation is performed on 10 films prepared for this purpose. ...
In this paper, the evaluation of accuracy of driver model for tracking multiple paths on a comprehensive car model with steerable front wheels and front wheel drive was conducted by simulation in MATLAB ...
Automatic Car Control with GPS and Camera based on Fuzzy Logic
Figure3. Changes of car speed The above graph pertains to speed changes in scenario 1. ...
doi:10.20431/2454-9436.0203005
fatcat:zmwnxxgyh5h2bfdtim2w2xqetu
A Fuzzy Logic Controller for Autonomous Wheeled Vehicles
[chapter]
2006
Mobile Robotics, Moving Intelligence
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Their simulation included both static and moving obstacles. (Wheeler & Shoureshi, 1994 ) controlled a vehicle on handling track using fuzzy logic. Their model included the vehicle's dynamic behavior. ...
., 1999) presented an off-line two-level fuzzy logic controller to track a path previously recorded or computed by means of a path planning program. ...
A Fuzzy Logic Controller for Autonomous Wheeled Vehicles, Mobile Robotics, Moving Intelligence, Jonas Buchli (Ed.), ISBN: 3-86611-284-X, InTech, Available from: http://www.intechopen.com/books/mobile_robotics_moving_intelligence ...
doi:10.5772/4721
fatcat:kew4ikcaanat5bdil7hpv4o26e
Obstacle avoidance system with sonar sensing and fuzzy logic
1997
Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling
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A mobile robot test-bed has been constructed using a golf cart base. The obstacle avoidance system is based on a micro-controller interfaced with multiple ultrasonic transducers. ...
Testing of these systems has been done in the lab as well as on an outside test track with positive results that show that at five mph the vehicle can follow a line and at the same time avoid obstacles ...
Control System The upper level control scheme is based on a fuzzy logic, hierarchical control system. The cart is, at its lowest level, told to go straight, at a variable speed. ...
doi:10.1117/12.290283
fatcat:qxejtij6zngppltv74mpbhembm
The Analysis of Trajectory Control of Non-holonomic Mobile Robots Based on Internet of Things Target Image Enhancement Technology and Backpropagation Neural Network
2021
Frontiers in Neurorobotics
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The trajectory tracking controller of the mobile robot is designed and improved based on the fuzzy BPNN. ...
Finally, the robot target image can be analyzed effectively based on the Internet of Things (IoT) image enhancement technology. ...
Fuzzy logic can imitate the thinking way of the human brain and process systems with unknown models. Therefore, fuzzy logic can determine the location of obstacles while mobile robots are moving. ...
doi:10.3389/fnbot.2021.634340
pmid:33828475
pmcid:PMC8020999
fatcat:jqwxjnforrdvlgsa47xumgzxmu
Tele-robot with shared autonomy: Distributed navigation development framework
2006
Integrated Computer-Aided Engineering
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An obstacle avoidance algorithm based on fuzzy logic has been implemented, giving the robot the responsibility of the local navigation. ...
To exploit this information, we propose to use, in the future, an adaptive fuzzy system which is a fuzzy logic system equipped with a training algorithm. ...
doi:10.3233/ica-2006-13403
fatcat:3kwwz3js6vehjkuvvxdk7qvcbq
A Multi-Interface Platform System for Assistance and Evaluation of Disabled People
2011
Applied Bionics and Biomechanics
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The exercises consist of tracking a continuously moving target (pursuit tracking), or moving to a predetermined target (step tracking). ...
The assistance service implementation is based on fuzzy logic which is applied for both x (horizontal) and y (vertical) axes, with some difference in fuzzy rules for each axis. ...
doi:10.1155/2011/587413
fatcat:lemck6gm5ndq3ghzt5scfgp6f4
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