Towards developing robust solid lubricant operable in multifarious environments

Robust Iris Recognition in Unconstrained Environments

A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by him/her. Iris recognition (IR) is known to be the most reliable and accurate biometric identification system. The iris recognition system (IRS) consists of an automatic segmentation mechanism which is based on the Hough transform (HT). This paper presents a robust IRS i...

Towards Robust Localization in Highly Dynamic Environments

LOCALIZATION in urban environments is a key prerequisite for making a robot truly autonomous, as well as an important issue in collective and cooperative robotics. It is not easily achievable when moving objects are involved or environment changes. Ego-motion estimation is the problem of determining the pose of a robot relative to its previous location without an absolute frame of reference. Mo...

Towards Robust Airborne SLAM in Unknown Wind Environments

This paper presents a robust multi-loop airborne SLAM structure which augments wind information into the state of 6DoF Simultaneous Localisation and Mapping (SLAM). The relative air velocity observation from an air data system can be used to estimate the error of the vehicle state. However due to a priori unknown wind information, it cannot directly be used for that purpose. This can be tackled...

Towards robust telephony speech recognition in office and automobile environments

This study is concerned with improving the robustness of our telephony speech recognition system. Our previous implementation of this system handled both landline and cellular speech produced in a relatively quiet environment, such as in a regular o ce. However, it was found to be unduly vulnerable to background noise. In particular, we wanted to improve the accuracy of the system in the enviro...

Developing Workplaces as Learning Environments: Towards a Learning Curriculum