CeRV Projects

1. Robotics and Mechatronic Systems

  • Vehicle Carried Road Texture Depth (RTD) Measurement System

The  system is  able to measure the RTD from the back of a moving vehicle with  speeds of up to 80 kp.h., on both wheel-paths and in-between  in a continuous fashion. and   produce  the  measurement results together with other relevant information  such as  the  GPS coordinates of the location of   measurement, vehicle speeds and road conditions in a standard format required by the client. It has been adopted by Fulton Hogan  in their road projects in New Zealand and Australia.




  • Unmanned Aerial Vehicles (UAVs)

The multi-rotor UAV system is designed  for the New Zealand environment with potential payload of 2kg.  The on-board   UAV controller  runs under the  embedded Linux OS with the supports of multiple sensors (IMU, vision sonar, laser scanner, GPS) , communication and  actuator driver modules.  It can be   reconfigured to cater for  the needs of different applications.  An indoor UAV  testing stand  is  designed for the  calibration of  sensors and   the test of  control algorithms.


  •  Monitoring New Zealand Native Bees — A Collaborative Approach using Image Analysis

This research is  focused on developing a simple and reliable method to monitor New Zealand’s native bees through  analysis of the images of the bees and their nests.

image_native bees

Project leader: A/Professor Loulin Huang,     project link

Participating staff and PhD /ME students: Dr John Collins,  Mr Jian Huang, Dr Xuejun Li,  Adrian Moldovanu, Daniel Reader, Nam Huu Le, Nagire Hart


2. Soft Robotics

Project leader: Dr. Martin Stommel,   project link

Participating staff and PhD students: 


3. Computational Intelligence and Mechatronics for Sport Sciences

Project leader: Dr. Boris Bačić,   project link

Participating staff and PhD students: Professor Enrico Haemmerle

4. Environment Perception and Driver Assistance (.enpeda..)

This project started in 2008 (previously within the Multimedia Imaging Technology group at Tamaki campus (which ceased to exist on 28 February 2015), now continued at CeRV since 1 March 2015), with major activities so far in vision-based driver assistance (in collaboration with Daimler A.G. Germany) and in track reading of small species (in collaboration with Connovation Ltd., Auckland). Research on terrestrial telemetry instrumentation for agrometeorological monitoring and modelling is chaired by Professor Philip Sallis. Research on studying bees is directed by Dr. John Collins. New major activities develop recently towards environmental surveillance (e.g. analysis of vegetation based on multispectral video data recorded in UAVs, in collaboration with a group chaired by Dr. Barbara Bollard-Breen) and towards plant analysis (e.g. understanding the growth of plants, or identifying particular plants such as weeds in agricultural settings, in collaboration with a group chaired by Dr. Sebastian Leuzinger). Driver monitoring and traffic scene understanding continue to be subjects, following the activities in vision-based driver assistance. The project also maintains an online data base of video data for comparative performance analysis of computer vision applications (.enpeda. image sequence analysis test site – EISATS).


Project leader: Professor Reinhard Klette,   project link

Participating staff and PhD students: Professor Philip Sallis, Dr. John CollinsDr. S. Manoharan (UoA) , Dr. Radu Nicolescu (UoA), Hsiang-Jen Chien, Mohammad Rajib Hasan, Ngoc Tu Huynh, Nimal Amarasinghe (UoA), Robert Yang


5. Biomedical Imaging

Project leader: A/Professor Hamid Gholamhosseini,    project link

Participating staff and PhD students: Shereen Afifi


6. Intelligent Surveillance

Project leader: A/Professor Wei Qi YanProfessor Reinhard Kletteproject link

Research staff and PhD students: Mr W. Cui, Mr J. Lu.


7. Hyperspectral Imaging for Food Industry

Project leader: Dr  Marlon M.Reis,      project link

Research staff and PhD students: Professor Reinhard KletteA/Professor Wei Qi Yan, Mr Mahmoud Al-Sarayreh


8. Geometry and Topology in Imaging and Robotics

Robotics and computer vision define a major application areas of geometric algorithms. For example, digitized 2D or 3D images are discussed in digital geometry and topology, geometric algorithms for objects in Euclidean space are the subject in computational geometry  or in camera or sensor geometry (e.g., in the context of calibration or image rectification).

Project leader: Dr. Gisela Klette,    project link

Participating staff and PhD students: 


9. Imaging Meets Fine Art

Vision-based augmented reality, computational photography, non-photorealistic rendering, or the emulation of artistic styles are examples of fields where fine art and digital imaging meet. Digital media are not only useful for representing traditional art, they are also offering ways for creating or inspiring new forms of art.

Project leader: Prof. Reinhard Klette,    project link

Participating staff and PhD students: 


10. Computer Vision on Portable Smart Devices

Project leader: Minh Nguyen,    project link

Participating staff and PhD students: 


11. Deep Learning in Computer Vision

Project leader: Wei Qi Yan

Participating staff and PhD students: Mr Jia Lu, Professor Reinhard KletteA/Professor Wei Qi YanProfessor Edmund Lai


12. Multimedia Signal Processing and Applications

Project leader: Professor Edmund Lai

Participating staff and PhD students: Ms Jing Ma, Professor Reinhard KletteA/Professor Wei Qi Yan


13. Wireless localisation and VANET,

Project leader: Xuejun Li

Participating staff and PhD students: Xuejun Li, Peter Chong