Wuhan University of Technology-ko ikertzaileekin lankidetzan egindako argitalpenak (18)

2024

  1. L2-Gain-Based Path Following Control for Autonomous Vehicles Under Time-Constrained DoS Attacks

    IEEE Transactions on Intelligent Transportation Systems, Vol. 25, Núm. 9, pp. 10604-10616

  2. Resilient Control for Networked Unmanned Surface Vehicles With Dynamic Event-Triggered Mechanism Under Aperiodic DoS Attacks

    IEEE Transactions on Vehicular Technology, Vol. 73, Núm. 4, pp. 5824-5833

2023

  1. Dynamic Event-Triggered Adaptive Formation With Disturbance Rejection for Marine Vehicles Under Unknown Model Dynamics

    IEEE Transactions on Vehicular Technology, Vol. 72, Núm. 5, pp. 5664-5676

  2. Dynamic Event-Triggered Adaptive Neural Output Feedback Control for MSVs Using Composite Learning

    IEEE Transactions on Intelligent Transportation Systems, Vol. 24, Núm. 1, pp. 787-800

2022

  1. CCIBA∗: An Improved BA∗ Based Collaborative Coverage Path Planning Method for Multiple Unmanned Surface Mapping Vehicles

    IEEE Transactions on Intelligent Transportation Systems, Vol. 23, Núm. 10, pp. 19578-19588

  2. Event-Triggered Adaptive Fuzzy Setpoint Regulation of Surface Vessels With Unmeasured Velocities Under Thruster Saturation Constraints

    IEEE Transactions on Intelligent Transportation Systems, Vol. 23, Núm. 8, pp. 13463-13472

  3. Event-Triggered Adaptive Neural Fault-Tolerant Control of Underactuated MSVs With Input Saturation

    IEEE Transactions on Intelligent Transportation Systems, Vol. 23, Núm. 7, pp. 7045-7057

2021

  1. Adaptive Neural Output Feedback Control for MSVs with Predefined Performance

    IEEE Transactions on Vehicular Technology, Vol. 70, Núm. 4, pp. 2994-3006

  2. Creating navigation map in semi-open scenarios for intelligent vehicle localization using multi-sensor fusion

    Expert Systems with Applications, Vol. 184

  3. Path following Optimization for an Underactuated USV Using Smoothly-Convergent Deep Reinforcement Learning

    IEEE Transactions on Intelligent Transportation Systems, Vol. 22, Núm. 10, pp. 6208-6220

  4. Visual Map-Based Localization for Intelligent Vehicles from Multi-View Site Matching

    IEEE Transactions on Intelligent Transportation Systems, Vol. 22, Núm. 2, pp. 1068-1079

2020

  1. Corrigendum to “A novel sparse representation model for pedestrian abnormal trajectory understanding” (Expert Systems With Applications (2019) 138, (S0957417419304415), (10.1016/j.eswa.2019.06.041))

    Expert Systems with Applications

2019

  1. A novel image recognition algorithm of target identification for unmanned surface vehicles based on deep learning

    Journal of Intelligent and Fuzzy Systems, Vol. 37, Núm. 4, pp. 4437-4447

  2. A novel sparse representation model for pedestrian abnormal trajectory understanding

    Expert Systems with Applications, Vol. 138

  3. Practical Sensing Techniques for Intelligent Vehicles [Guest Editorial]

    IEEE Intelligent Transportation Systems Magazine

  4. Short-term vessel traffic flow forecasting by using an improved Kalman model

    Cluster Computing, Vol. 22, pp. 7907-7916

2018

  1. Multiscale Site Matching for Vision-Only Self-Localization of Intelligent Vehicles

    IEEE Intelligent Transportation Systems Magazine, Vol. 10, Núm. 3, pp. 170-183

2017

  1. Image sequence matching using both holistic and local features for loop closure detection

    IEEE Access, Vol. 5, pp. 13835-13845