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Casual Academic

Ms Jian Zhang

Engineering
Electrical Engineering and Telecommunications
E-mail
jian.zhang4@unsw.edu.au
  • Journal articles | 2022
    Li X; Huang H; Savkin AV; Zhang J, 2022, 'Robotic Herding of Farm Animals Using a Network of Barking Aerial Drones', Drones, 6, pp. 29 - 29, http://dx.doi.org/10.3390/drones6020029
    Journal articles | 2021
    Zhang J; Huang H, 2021, 'Occlusion-aware uav path planning for reconnaissance and surveillance', Drones, 5, http://dx.doi.org/10.3390/drones5030098
  • Conference Papers | 2022
    Zhang J, 2022, 'A Covert Surveillance Strategy for a Solar-Powered UAV over Suspicious Mobile Target', in 2022 14th International Conference on Computer and Automation Engineering, ICCAE 2022, pp. 8 - 12, http://dx.doi.org/10.1109/ICCAE55086.2022.9762450
    Conference Papers | 2022
    Zhang J, 2022, 'A Q-learning based Method f or Secure UAV Communication against Malicious Eavesdropping', in 2022 14th International Conference on Computer and Automation Engineering, ICCAE 2022, pp. 168 - 172, http://dx.doi.org/10.1109/ICCAE55086.2022.9762433
    Conference Papers | 2022
    Zhang Y; Zhang J, 2022, 'A Navigation Algorithm for UUVs to Avoid Shape Changeable Obstacles', in 2022 14th International Conference on Computer and Automation Engineering, ICCAE 2022, pp. 205 - 208, http://dx.doi.org/10.1109/ICCAE55086.2022.9762430
    Conference Papers | 2022
    Zhang Y; Zhang J, 2022, 'An Obstacle Avoidance Method for Sonar-based Robots Avoiding Shape Changeable Obstacles*', in 2022 14th International Conference on Computer and Automation Engineering, ICCAE 2022, pp. 20 - 24, http://dx.doi.org/10.1109/ICCAE55086.2022.9762446
    Conference Papers | 2021
    Zhang J; Huang H, 2021, 'A Path Planning Method for Video Camera Equipped UAVs Monitoring a Ground Area', in 2021 Australian and New Zealand Control Conference, ANZCC 2021, pp. 238 - 243, http://dx.doi.org/10.1109/ANZCC53563.2021.9628286
    Conference Papers | 2021
    Zhang J, 2021, 'Novel Autonomous Algorithms of Path Planning for Mobile Robots: A Survey', in 2021 Australian and New Zealand Control Conference, ANZCC 2021, pp. 167 - 172, http://dx.doi.org/10.1109/ANZCC53563.2021.9628381
    Conference Papers | 2020
    Zhang J; Huang H; Zhang Y, 2020, 'A Convolutional Neural Network Method for Self-Driving Cars*', in 2020 Australian and New Zealand Control Conference, ANZCC 2020, pp. 184 - 187, http://dx.doi.org/10.1109/ANZCC50923.2020.9318398
    Conference Papers | 2020
    Zhang J; Huang H, 2020, 'Steering Angle Prediction for Autonomous Cars Based on Deep Neural Network Method', in 2020 Australian and New Zealand Control Conference, ANZCC 2020, pp. 205 - 208, http://dx.doi.org/10.1109/ANZCC50923.2020.9318380
    Conference Papers | 2020
    Zhang J; Zhang Y, 2020, 'A method for UAV reconnaissance and surveillance in complex environments', in 2020 6th International Conference on Control, Automation and Robotics, ICCAR 2020, pp. 482 - 485, http://dx.doi.org/10.1109/ICCAR49639.2020.9107972
    Conference Papers | 2019
    Zhang J; Zhang J, 2019, 'A collision-free 3D path planning strategy for mobile robots', in 2019 Australian and New Zealand Control Conference, ANZCC 2019, Auckland, pp. 1 - 4, presented at 2019 Australian & New Zealand Control Conference (ANZCC), Auckland, 27 November 2019, http://dx.doi.org/10.1109/ANZCC47194.2019.8945523
    Conference Papers | 2019
    Zhang J, 2019, 'A hybrid reactive navigation strategy for a non-holonomic mobile robot in cluttered environments', in Chinese Control Conference, CCC, Guangzhou, pp. 3839 - 3844, presented at 38th Chinese Control Conference, Guangzhou, 27 July 2019 - 30 July 2019, http://dx.doi.org/10.23919/ChiCC.2019.8865511
    Conference Papers | 2019
    Zhang J, 2019, 'Occlusion-aware UAV path planning for reconnaissance and surveillance in complex environments', in IEEE International Conference on Robotics and Biomimetics, ROBIO 2019, pp. 1435 - 1440, http://dx.doi.org/10.1109/ROBIO49542.2019.8961649
    Conference Papers | 2019
    Zhang J, 2019, 'Path planning for a mobile robot in unknown dynamic environments using integrated environment representation and reinforcement learning', in 2019 Australian and New Zealand Control Conference, ANZCC 2019, pp. 258 - 263, http://dx.doi.org/10.1109/ANZCC47194.2019.8945595