Skip to menu Skip to content Skip to footer
  • UQ Home
  • Contacts
  • Study
  • Maps
  • News
  • Events
  • Library
  • Give now
  • my.UQ
The University of Queensland
Queensland Brain Institute Queensland Brain Institute
Site search
Site search
Menu
  • Home
  • About
    • Vision statement
    • Annual reports
  • Our people
    • Research leaders
    • Early and mid-career researchers
    • Equity, diversity and inclusion
  • Research
    • Research groups
    • Facilities
    • Centres
    • Partnerships
    • Publications
  • Study
    • PhD
    • MPhil
    • Honours
    • Research programs
    • Projects for coursework
    • Non-UQ students
  • The Brain
    • Brain anatomy
    • Brain functions
      • Action potentials and synapses
      • Adult neurogenesis
      • What is neurogenesis?
      • What is synaptic plasticity?
      • Studying synaptic plasticity and learning
      • How do neurons work?
      • Long-term synaptic plasticity
      • Vision
      • Visual perception
      • Attention: interference and control
      • How to measure brain activity in animals
      • How to measure brain activity in people
      • What are neurotransmitters?
      • What is deep-brain stimulation?
    • Diseases and disorders
    • Concussion
    • Learning & Memory
    • Dementia
    • The BRAIN magazine
    • Discovery science
    • Download free posters
  • Engage
    • Events
    • Donate
    • Support our research
    • Volunteer for a study
    • Talks and tours
    • Australian Brain Bee
    • Newsletters
  • News
    • Features
    • Podcasts
      • Podcast: autism and genetics
      • Podcast: International Women's Day
      • Podcast: fish eyes the window to the brain
      • Podcast: mysteries of the corpus callosum
      • Podcast: the most aggressive cancer in the brain
      • Podcast: using brain imaging to diagnose mental illness
      • Podcast: curing schizophrenia, from lab to clinic
      • Podcast: using deep brain stimulation treat Parkinson’s disease
      • Podcast: coral bleaching in the Great Barrier Reef
      • Podcast: the curious link between vitamin D and schizophrenia
      • Podcast: the neuroscience of racism
      • Podcast: Alzheimer's disease, a family perspective
      • Podcast: will nerve regeneration treat spinal cord injury?
      • Podcast: how I survived a stroke at 31
    • Meet our researchers
  • Contact

Mr Reuben Strydom

PhD Student
Queensland Brain Institute
r.strydom@uq.edu.au

Publications

Journal Articles (5)
Conference Papers (12)
Thesis (1)

Journal Articles

Farnworth, Timothy, Renton, Christopher, Strydom, Reuben, Wills, Adrian and Perez, Tristan (2021). A Heteroscedastic Likelihood Model for Two-Frame Optical Flow. IEEE Robotics and Automation Letters, 6 (2), 1200-1207. doi: 10.1109/lra.2021.3056342
Jouir, Tasarinan, Strydom, Reuben, Stace, Thomas M. and Srinivasan, Mandyam (2018). Vision-only egomotion estimation in 6DOF using a sky compass. Robotica, 36 (10), 1571-1589. doi: 10.1017/S0263574718000577
Strydom, Reuben and Srinivasan, Mandyam V. (2017). UAS stealth: target pursuit at constant distance using a bio-inspired motion camouflage guidance law. Bioinspiration and Biomimetics, 12 (5) 055002, 055002. doi: 10.1088/1748-3190/aa7d65
Strydom, Reuben, Denuelle, Aymeric and Srinivasan, Mandyam V. (2016). Bio-inspired principles applied to the guidance, navigation and control of UAS. Aerospace, 3 (3) 21, 21. doi: 10.3390/aerospace3030021
Strydom, Reuben, Thurrowgood, Saul, Denuelle, Aymeric and Srinivasan, Mandyam V. (2016). TCM: a vision-based algorithm for distinguishing between stationary and moving objects irrespective of depth contrast from a UAS. International Journal of Advanced Robotic Systems, 13 (3), 457-467. doi: 10.5772/62846

Conference Papers

Wright, Holly J., Strydom, Reuben and Srinivasan, Mandyam V. (2018). A generalized algorithm for tuning UAS flight controllers. 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018, Dallas, TX, United States, 12-15 June 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICUAS.2018.8453451
Gunasinghe, Dasun, Lawson, Kiaran K. K., Strydom, Reuben and Srinivasan, Mandyam (2018). A mid-air collision warning system: performance comparison using simulated ADS-B, Radar and Vision sensor inputs. 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018, Dallas, TX, United States, 12-15 June 2018. NEW YORK: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ICUAS.2018.8453478
Karmaker, Debajyoti, Schiffner, Ingo, Strydom, Reuben and Srinivasan, Mandyam V (2017). WHoG: a weighted HOG-based scheme for the detection of birds and identification of their poses in natural environments. 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, Phuket, Thailand, 13 - 15 November 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICARCV.2016.7838650
Gunasinghe, Dasun, Strydom, Reuben and Srinivasan, Mandyam V. (2016). A mid-air collision warning system: vision-based estimation of collision threats for aircraft. Australasian Conference on Robotics and Automation, Brisbane, QLD, Australia, 5-7 December 2016. Australian Robotics and Automation Association.
Strydom, Reuben, Thurrowgood, Saul, Denuelle, Aymeric and Srinivasan, Mandyam V. (2015). UAV guidance: a stereo-based technique for interception of stationary or moving targets. 16th Annual Conference on Towards Autonomous Robotic Systems (TAROS), Liverpool England, 8 - 10 September 2015. Heidelberg, Germany: Springer International Publishing. doi: 10.1007/978-3-319-22416-9_30
Denuelle, Aymeric, Strydom, Reuben and Srinivasan, Mandyam V. (2015). Snapshot-based control of UAS hover in outdoor environments. IEEE International Conference on Robotics and Biomimetics, Zuhai, China, 6-9 December 2015. Piscataway, NJ, United States: IEEE (Institute for Electrical and Electronic Engineers). doi: 10.1109/ROBIO.2015.7418947
Strydom, Reuben, Singh, Surya P. N. and Srinivasan, Mandyam V. (2015). Biologically inspired interception: a comparison of pursuit and constant bearing strategies in the presence of sensorimotor delay. IEEE International Conference on Robotics and Biomimetics, Zhuhai, China, December 6-9, 2015. Piscataway, NJ, United States: IEEE (Institute for Electrical and Electronic Engineers). doi: 10.1109/ROBIO.2015.7419705
Jouir, Tasarinan, Strydom, Reuben and Srinivasan, Mandyam V. (2015). A 3D sky compass to achieve robust estimation of UAV attitude. Australasian Conference on Robotics and Automation (ACRA 2015), Canberra, ACT, Australia, 2-4 December 2015. Canberra, ACT, Australia: ARAA.
Strydom, Reuben, Thurrowgood, Saul and Srinivasan, Mandyam V. (2015). TCM: A fast technique to determine if an object is moving or stationary from a UAV. Australasian Conference on Robotics and Automation (ACRA 2015), Canberra, ACT, Australia, 2-4 December 2015. Canberra, ACT, Australia: ARAA.
Denuelle, Aymeric, Thurrowgood, Saul, Strydom, Reuben, Kendoul, Farid and Srinivasan, Mandyam V. (2015). Biologically-inspired visual stabilization of a rotorcraft UAV in unknown outdoor environments. 2015 International Conference on Unmanned Aircraft Systems, ICUAS 2015, Denver, CO United States, 9-12 June 2015. Piscataway, NJ United States: IEEE. doi: 10.1109/ICUAS.2015.7152400
Strydom, Reuben, Thurrowgood, Saul and Srinivasan, Mandyam V. (2014). Visual odometry: autonomous UAV navigation using optic flow and stereo. ACRA2014: Australasian Conference on Robotics and Automation, Melbourne VIC, Australia, 2-4 December 2014. Canberra, ACT, Australia: Australian Robotics and Automation Association.
Strydom, Reuben, Thurrowgood, Saul and Srinivasan, Mandyam V. (2013). Airborne vision system for the detection of moving objects. ACRA2013: Australasian Conference on Robotics and Automation, Kensington, NSW, Australia, 2-4 December, 2013. Canberra, ACT, Australia: Australian Robotics and Automation Association.

Thesis

Strydom, Reuben (2017). Bio-inspired Strategies for Autonomous Aerial Navigation, Guidance and Interception. PhD Thesis, Queensland Brain Institute, The University of Queensland. doi: 10.14264/uql.2017.775
© The University of Queensland
Enquiries: +61 7 3365 1111   |   Contact directory
ABN: 63 942 912 684   |   CRICOS Provider No: 00025B
Emergency
Phone: 3365 3333
Privacy & Terms of use   |   Feedback   |   Updated: 31 May 2017
Login