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UAV swarm formation reconfiguration control based on variable-stepsize MPC-APCMPIO algorithm
For a complex operational environment, to actualize safe obstacle avoidance and collision avoidance, a swarm must be capable of autonomous formation...
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Fixed-time attitude tracking control for spacecraft based on a fixed-time extended state observer
This paper deals with the problem of fixed-time attitude tracking control for spacecraft subject to model uncertainties and external disturbances....
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Region-Based Multiple Object Tracking with LSTM Supported Trajectories
Object Tracking is the growing field in computer vision with its demands in various areas in monitoring and surveillance. Areas of surveillance can... -
Adaptive tracking control of high-order MIMO nonlinear systems with prescribed performance
In this paper, an observer-based adaptive prescribed performance tracking control scheme is developed for a class of uncertain multi-input...
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A Method for Formation Control of Autonomous Underwater Vehicle Formation Navigation Based on Consistency
In the process of underwater unmanned submarine operations, an important issue is formation control. In this paper, a method for formation control of... -
Multi-robots Formation and Obstacle Avoidance Algorithm Based on Leader-Follower and Artificial Potential Field Method
Multi-robots collaborative has important application prospects in fields such as military, medical, transportation, security patrols, rescue and... -
Formation Control of Unmanned Ground Vehicles Based on Broad Learning
This paper studies the distributed formation control of Multiple unmanned ground vehicle systems with input saturation. Based on the bionic coupling... -
A novel data-driven algorithm for object detection, tracking, distance estimation, and size measurement in stereo vision systems
Distance and size estimation of objects of interests is an inevitable task for many navigation and obstacle avoidance algorithms mainly used in...
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How do L2 learners of Turkish read texts with graphics? An eye-tracking study
This study aimed to determine the variables affecting the eye-movements of second-language (L2) learners of Turkish in Türkiye while solving a test...
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CCTFv1: Computational Modeling of Cyber Team Formation Strategies
Rooted in collaborative efforts, cybersecurity spans the scope of cyber competitions and warfare. Despite extensive research into team strategy in... -
A selective region-based detection and tracking approach towards the recognition of dynamic bare hand gesture using deep neural network
Complexities such as variations in pose, scale, speed, illumination, occlusion, etc., in detecting the gesture object at the first frame and tracking...
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A parallel interface tracking approach for evolving geometry problems
This paper presents a parallel interface tracking approach for evolving geometry problems where both the computational domain and mesh are updated as...
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Towards LiDAR and RADAR Fusion for Object Detection and Multi-object Tracking in CARLA Simulator
Detection and Multi-Object Tracking (DAMOT) systems have a critical role to play in scene understanding in the context of autonomous driving. Modern... -
Adaptive NN-based finite-time trajectory tracking control of wheeled robotic systems
The trajectory tracking and finite-time control problems of wheeled robotic systems with nonlinear dynamics and uncertainties are investigated in...
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Deep learning in multi-object detection and tracking: state of the art
Object detection and tracking is one of the most important and challenging branches in computer vision, and have been widely applied in various...
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Event-triggered cooperative robust formation control of multi-agent systems via reinforcement learning
This article develops an event-triggered cooperative robust formation control scheme for nonlinear multi-agent systems with dynamic uncertainties via...
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Event-triggered fixed-time adaptive neural formation control for underactuated ASVs with connectivity constraints and prescribed performance
In this paper, an event-triggered fixed-time adaptive neural network formation control method is proposed for underactuated multiple autonomous...
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Trajectory tracking control for underactuated unmanned surface vehicle subject to uncertain dynamics and input saturation
In this paper, one concerns with the problem of trajectory tracking control for an underactuated unmanned surface vehicle subject to uncertain...
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Trajectory Tracking Control Based on RBF Neural Network Learning Control
In this paper, a radial basis function neural network (RBFNN) learning control scheme is proposed to improve the trajectory tracking performance of a... -
LeDA: leadership delegation based activation scheme for target tracking in wireless sensor networks
Energy-efficiency is an issue that needs to be considered while designing a scheme for target tracking. The purpose of this paper is to propose a...