Postgraduate students

PhD students (completed)

• C.J. Müller – 2024
  • Map point selection for hardware-constrained visual simultaneous localisation and mapping
• C.E. Roelofse – 2023
  • Probabilistic conflict prediction – an accurate and computationally efficient approach
• S.C.J. Robertson (co-supervised by Prof. J.A. du Preez) – 2023
  • Efficient approximations of the multi-sensor labelled multi-Bernoulli filter
• J.C. Schoeman (co-supervised by Prof. J.A. du Preez) – 2021
  • Degenerate Gaussian factors for probabilistic inference
• C.D. Lombard – 2020
  • Stochastic triangular mesh mapping
• D. Brink (co-supervised by Prof. B.M. Herbst) – 2016
  • Using probabilistic graphical models to detect dynamic objects for mobile robots

Masters students (completed)

• M.B. Strauss – MEng, 2024
  • Robust place recognition for vision-based SLAM systems using semantic information
• Z. Sijovu (co-supervised by Dr M. Burke and Dr N. Makondo) – MEng, 2024
  • Probabilistic state estimation and calibration for robot manipulators
• R.H. van Tonder (co-supervised by Prof. J.A. du Preez) – MEng, 2022
  • An improved message-passing scheme for approximate inference using cluster graphs
• B.B. Maseko (co-supervised by Mr J. Treurnicht) – MEng, 2020
  • Optimised path planning and path tracking for autonomous vehicles with constrained kinematics in ROS
• D.N. Smulders (co-supervisor; supervised by Prof. K.R. Uren; co-supervised by Prof. G. van Schoor) – MEng, 2020
  • CREAK descriptor evaluation for monocular visual SLAM
• J.N. Lochner – MEng, 2020
  • Motion planning for a rotary-wing UAV in dynamic environments
• J.P. Gericke – MEng, 2019
  • SLAM landmark identification using Lidar measurements
• W.C. de Jongh (co-supervisor; supervised by Dr H.W. Jordaan) – MEng, 2019
  • Space debris pose estimation using stereo vision
• A.J. Bester – MEng, 2018
  • Motion planning for an autonomous terrestrial vehicle in static environments
• J. Blom (co-supervisor; supervised by Dr P.G. Wiid) – MEng, 2018
  • Accurate localisation of a multi-rotor using monocular vision
• C.E. Roelofse – MEng, 2018
  • Detection and tracking of moving objects using stereo vision cameras
• G. Hull – MEng, 2017
  • Real-time occupancy grid mapping using LSD-SLAM
• A. Chiu (co-supervisor; supervised by Prof T. Jones) – MEng, 2017
  • Probabilistic outlier removal for stereo visual odometry
• F.J. Botha (co-supervised by Mr J. Treurnicht) – MEng, 2017
  • Data fusion of radar and stereo vision for detection and tracking of moving objects
• A.J. Burger (co-supervised by Dr W.H. Brink) – MEng, 2015
  • Occupancy grid mapping using stereo vision
• W. van den Aardweg (co-supervisor; supervised by Mr J.A.A. Engelbrecht) – MEng, 2015
  • Robust conflict resolution for commercial aircraft in airport environments
• N. Esterhuizen (co-supervisor; supervised by Prof J.S. Terblanche; co-supervised by Dr S. Clusella-Trullas) – MSc, 2013
  • Effects of thermal history on temperature-dependent flight performance in insects: Ceratitis capitata (Diptera: Tephritidae) as a model organism
• C.J. Beyers – MScEng, 2013
  • Motion planning algorithms for autonomous navigation for a rotary-wing UAV
• E.G. Cowley – MScEng, 2013
  • Kinodynamic planning for a fixed-wing aircraft in dynamic, cluttered environments: a local planning method using implicitly-defined motion primitives
• L.J. Brink (co-supervised by Dr W.H. Brink) – MScEng, 2012
  • Stereo vision for simultaneous localization and mapping