Publications

Profile on Google Scholar: Daobilige Su

Journals:

• J. Wang, Y. He, D. Su, K. Itoyama, K. Nakadai, J. Wu, S. Huang, Y. Li, and H. Kong, "SLAM-based Joint Calibration of Multiple Asynchronous Microphone Arrays and Sound Source Localization," IEEE Transactions on Robotics, (Online)), 2024. (2023 IF 9.4)

• N. Hu, D. Su, S. Wang, X. Wang, H. Zhong, Z. Wang, Y. Qiao, and Y. Tan, "Segmentation and tracking of vegetable plants by exploiting vegetable shape feature for precision spray of agricultural robots," Journal of Field Robotics, vol. 413, no. 2, p. 570-586, 2023. (2022 IF 8.3)

• S. Wang, D. Su, M. Li, Y. Jiang, L. Zhang, H. Yan, N. Hu, and Y. Tan, "LFSD: a VSLAM dataset with plant detection and tracking in lettuce farm," Frontiers in Plant Science, vol. 14, p. 1175743, 2023. (2022 IF 5.6)

• S. Wang, D. Su, Y. Jiang, Y. Tan, Y. Qiao, S. Yang, Y. Feng, and N. Hu, "Fusing vegetation index and ridge segmentation for robust vision based autonomous navigation of agricultural robots in vegetable farms," Computers and Electronics in Agriculture, vol. 213, p. 108235, 2023. (2022 IF 8.3)

• D. Su, Y. Qiao, Y. Jiang, J. Valente, Z. Zhang, and D. He, "Editorial: AI, sensors and robotics in plant phenotyping and precision agriculture, volume II," Frontiers in Plant Science, vol. 14, p. 1215899, 2023. (2022 IF 5.6)

• T. Xue, Y. Qiao, H. Kong, D. Su, S. Pan, K. Rafique, and S. Sukkarieh, "One-shot learning-based animal video segmentation," IEEE Transactions on Industrial Informatics, vol. 18, no. 6, pp. 3799-3807, 2022. (2022 IF 12.3)

• Y. Qiao, J. Valente, Z. Zhang, D. Su, and D. He, "Editorial: AI, sensors and robotics in plant phenotyping and precision agriculture," Frontiers in Plant Science, vol. 13, p. 1064219, 2022. (2022 IF 5.6)

• N. Hu, S. Wang, X. Wang, Y. Cai, D. Su, P. Nyamsuren, Y. Qiao, Y. Jiang, B. Hai, and H. Wei, "LettuceMOT: A dataset of lettuce detection and tracking with re-identification of re-occurred plants for agricultural robots," Frontiers in Plant Science, vol. 13, p. 1047356, 2022. (2022 IF 5.6)

• N. Hu, D. Su, S. Wang, P. Nyamsuren, Y. Qiao, Y. Jiang, and Y. Cai, "LettuceTrack: Detection and tracking of lettuce for robotic precision spray in agriculture," Frontiers in Plant Science, vol. 13, p. 1003243, 2022. (2022 IF 5.6)

• D. Su, Y. Qiao, H. Kong, and S. Sukkarieh, "Real time detection of inter-row ryegrass in wheat farms using deep learning," Biosystems Engineering, vol. 204, pp. 198-211, 2021. (2022 IF 5.1)

• D. Su, H. Kong, S. Sukkarieh, and S. Huang, "Necessary and sufficient conditions for observability of SLAM-based TDOA sensor array calibration and source localization," IEEE Transactions on Robotics, vol. 37, no. 5, pp. 1451-1468, 2021. (2022 IF 7.8)

• D. Su, H. Kong, Y. Qiao, and S. Sukkarieh, "Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics," Computers and Electronics in Agriculture, vol. 190, p. 106418, 2021. (2022 IF 8.3)

• Y. Qiao, H. Kong, C. Clark, S. Lomax, D. Su, S. Eiffert, and S. Sukkarieh, "Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation," Computers and Electronics in Agriculture, vol. 185, p. 106143, 2021. (2022 IF 8.3)

• Y. Qiao, H. Kong, C. Clark, S. Lomax, D. Su, S. Eiffert, and S. Sukkarieh, "Intelligent perception-based cattle lameness detection and behaviour recognition: A review," Animals, vol. 11, no. 11, p. 3033, 2021. (2022 IF 3.0)

• Y. Qiao, C. Clark, S. Lomax, H. Kong, D. Su, and S. Sukkarieh, "Automated individual cattle identification using video data: a unified deep learning architecture approach," Frontiers in Animal Science, p. 73, 2021.

• H. Kong, M. Shan, D. Su, Y. Qiao, A. Al-Azzawi, and S. Sukkarieh, "Filtering for systems subject to unknown inputs without a priori initial information," Automatica, vol. 120, p. 109122, 2020. (2022 IF 6.4)

• J. Brown, D. Su, H. Kong, S. Sukkarieh, and E. C. Kerrigan, "Improved noise covariance estimation in visual servoing using an autocovariance least-squares approach," Mechatronics, vol. 68, p. 102381, 2020. (2022 IF 3.3)

• D. Su, T. Vidal-Calleja, and J. Valls Miro, "Asynchronous microphone arrays calibration and sound source tracking," Autonomous Robots, vol. 44, no. 2, pp. 183-204, 2020. (2022 IF 3.5)

• D. Su, A. Bender, and S. Sukkarieh, "Improved cross-ratio invariant-based intrinsic calibration of a hyperspectral line-scan camera," Sensors, vol. 18, no. 6, p. 1885, 2018. (2022 IF 3.9)

• M. Wang, Y. Liu, D. Su, Y. Liao, L. Shi, J. Xu, and J. V. Miro, "Accurate and real-time 3-D tracking for the following robots by fusing vision and ultrasonar information," IEEE/ASME Transactions On Mechatronics, vol. 23, no. 3, pp. 997-1006, 2018. (2022 IF 6.4)

Conferences: 

• Y. He, J. Wang, D. Su, K. Nakadai, J. Wu, S. Huang, Y. Li, and H. Kong, "Observability Analysis of Graph SLAM-Based Joint Calibration of Multiple Microphone Arrays and Sound Source Localization," in 2023 IEEE/SICE International Symposium on System Integration (SII 2023), 2023, pp. 1-8. 

• Y. Qiao, D. Su, H. Kong, S. Sukkarieh, S. Lomax, and C. Clark, "Data augmentation for deep learning based cattle segmentation in precision livestock farming," in 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE 2020), 2020, pp. 979-984. 

• Y. Qiao, D. Su, H. Kong, S. Sukkarieh, S. Lomax, and C. Clark, "BiLSTM-based individual cattle identification for automated precision livestock farming," in 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE 2020), 2020, pp. 967-972.

• Y. Qiao, D. Su, H. Kong, S. Sukkarieh, S. Lomax, and C. Clark, "Individual cattle identification using a deep learning based framework," IFAC-PapersOnLine, vol. 52, no. 30, pp. 318-323, 2019.

• J. Brown, D. Su, H. Kong, S. Sukkarieh, and E. Kerrigan, "Improved noise covariance estimation in visual servoing using an autocovariance least-squares approach," IFAC-PapersOnLine, vol. 52, no. 22, pp. 37-42, 2019. (Best Young Paper Award)

• M. Wang, H. Voos, and D. Su, "Robust online obstacle detection and tracking for collision-free navigation of multirotor uavs in complex environments," in 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018), 2018, pp. 1228-1234. 

• K. Wu#, T. Zhang#, D. Su, S. Huang, and G. Dissanayake, "An invariant-EKF VINS algorithm for improving consistency," in 2017 IEEE/RSJ international conference on intelligent robots and systems (IROS 2017), 2017, pp. 1578-1585.  

• D. Su, T. Vidal-Calleja, and J. Valls Miro, "Towards real-time 3D sound sources mapping with linear microphone arrays," in 2017 IEEE International Conference on Robotics and Automation (ICRA 2017), 2017, pp. 1662-1668.  (Affiliated Video: https://youtu.be/Ry_i3kmvlHM, Open source code: https://github.com/daobilige-su/SSM_LinearArray)

• M. Wang, D. Su, L. Shi, Y. Liu, and J. V. Miro, "Real-time 3D human tracking for mobile robots with multisensors," in 2017 IEEE International Conference on Robotics and Automation (ICRA 2017), 2017, pp. 5081-5087. 

• D. Su, T. Vidal-Calleja, and J. Valls Miro, "Split conditional independent mapping for sound source localisation with inverse-depth parametrisation," in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), 2016, pp. 2000-2006. (Affiliated Video: https://youtu.be/QyqY2eIX1wk)

• D. Su, K. Nakamura, K. Nakadai, and J. Valls Miro, "Robust sound source mapping using three-layered selective audio rays for mobile robots," in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), 2016, pp. 2771-2777. 

• D. Su, T. Vidal-Calleja, and J. Valls Miro, "Simultaneous asynchronous microphone array calibration and sound source localisation," in 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), 2015, pp. 5561-5567. 

• D. Su, J. Valls Miro, and T. Vidal-Calleja, "Graph-SLAM based calibration of an embedded asynchronous microphone array for outdoor robotic target tracking," in ASSISTIVE ROBOTICS: Proceedings of the 18th International Conference on CLAWAR 2015, 2016, pp. 641-648.  (Best Paper Award Finalist).

• D. Su, J. Valls Miro, and T. Vidal-Calleja, "Real-time sound source localisation for target tracking applications using an asynchronous microphone array," in 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA 2015), 2015, pp. 1261-1266. 

• D. Su, J. Valls Miro, and T. Vidal-Calleja, "Modelling in-pipe acoustic signal propagation for condition assessment of multi-layer water pipelines," in 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA 2015), 2015, pp. 545-550.  (Best Paper Award Finalist).

• D. Su, N. Ulapane, and B. Wijerathna, "An acoustic sensor based novel method for 2D localization of a robot in a structured environment," in 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA 2015), 2015, pp. 2024-2029. 

• D. Su and J. Valls Miro, "An ultrasonic/RF GP-based sensor model robotic solution for indoors/outdoors person tracking," in 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV 2014), 2014, pp. 1662-1667.

• T. Vidal-Calleja, D. Su, F. De Bruijn, and J. Valls Miro, "Learning spatial correlations for Bayesian fusion in pipe thickness mapping," in 2014 IEEE International Conference on Robotics and Automation (ICRA 2014), 2014, pp. 683-690.

• D. Su, M. Sekikawa, K. Nakazawa, and N. Hamada, "Novel scheme of real-time direction finding and tracking of multiple speakers by robot-embedded microphone array," in 2012 Robot Intelligence Technology and Applications (RITA 2012), 2013, pp. 453-462. 

Thesis: 

• D. Su, "Robotic sound source mapping using microphone arrays," PhD, University of Technology Sydney, 2017. 

Book/Journal Topic Collection:

• Y. Qiao, L. Chai, D. He, and D. Su, Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming. 2022.