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.
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. Temporal and Spatial Pattern Extraction from Low to High Quality Videos
Project leader: Dr. Boris Bačić, project link
Participating staff and students: Professor Reinhard Klette
5. 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 Collins, Dr. S. Manoharan (UoA) , Dr. Radu Nicolescu (UoA), Hsiang-Jen Chien, Mohammad Rajib Hasan, Ngoc Tu Huynh, Nimal Amarasinghe (UoA), Robert Yang
6. Biomedical Imaging
Project leader: A/Professor Hamid Gholamhosseini, project link
Participating staff and PhD students: Shereen Afifi
7. Intelligent Surveillance
Project leader: A/Professor Wei Qi Yan, Professor Reinhard Klette, project link
Research staff and PhD students: Mr W. Cui, Mr J. Lu.
8. Hyperspectral Imaging for the Food Industry
Project leader: Dr Marlon M.Reis, project link
Research staff and PhD students: Professor Reinhard Klette, A/Professor Wei Qi Yan, Mr Mahmoud Al-Sarayreh
9. 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:
10. 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:
11. Computer Vision on Portable Smart Devices
Project leader: Minh Nguyen, project link
Participating staff and PhD students:
12. Deep Learning in Computer Vision
Project leader: Wei Qi Yan
Participating staff and PhD students: Mr Jia Lu, Professor Reinhard Klette, A/Professor Wei Qi Yan,Professor Edmund Lai
13. Multimedia Signal Processing and Applications
Project leader: Professor Edmund Lai
Participating staff and PhD students: Ms Jing Ma, Professor Reinhard Klette, A/Professor Wei Qi Yan