Perception Quality Evaluation with Visual and Infrared Cameras in Challenging Environmental Conditions

This work aims to contribute to the reliability and integrity of perceptual systems of unmanned ground vehicles (UGV). A method is proposed to evaluate the quality of sensor data prior to its use in a perception system by utilising a quality metric applied to heterogeneous sensor data such as visual and infrared camera images. The concept is illustrated specifically with sensor data that is evaluated prior to the use of the data in a standard SIFT feature extraction and matching technique. The method is then evaluated using various experimental data sets that were collected from a UGV in challenging environmental conditions, represented by the presence of airborne dust and smoke. In the first series of experiments, a motionless vehicle is observing a ’reference’ scene, then the method is extended to the case of a moving vehicle by compensating for its motion. This paper shows that it is possible to anticipate degradation of a perception algorithm by evaluating the input data prior to any actual execution of the algorithm.

Compensation for environmental services and intergovernmental fiscal transfers : the case of India

This paper studies mechanisms to compensate local government for the public provision of environmental services using the theory of optimal fiscal transfers in India. Especially, we analyzed the role of intergovernmental fiscal transfers in achieving the environmental goal. Simply assigning the functions at appropriate levels does not ensure optimal provision of environmental services. Optimality in resource allocation could be achieved by combining the assignment system with an appropriate compensation mechanism. Intergovernmental fiscal transfers would be a suitable mechanism for compensating the local governments and help in internalizing the spillover effects of providing environmental public goods. Illustrations are also provided for India.

Work Health and Safety Law and Policy

The third edition of Work Health and Safety Law and Policy continues to provide a plain English approach to explaining and analysing the law which regulates work health and safety in Australia. Providing broad coverage, this book focuses on the role that legal regulation plays in preventing work-related injury and disease, as well as the way in which the law contributes to rehabilitating and compensating injured and ill workers. This third edition focuses on the national model Work Health and Safety Bill 2009. The provisions of the model Bill are outlined, along with court decisions and other documentation that help interpret the provisions in new legislation enacting the model Bill. There is also a chapter in the book examining the national model Work Health and Safety Regulations 2011, and model codes of practice. The book includes three chapters on common law, statutory workers’ compensation provisions and rehabilitation. Tables summarising the key legal provisions of the major Australian Commonwealth, State and Territory workers’ compensation statutes have been updated and give quick and easy reference to points of legislation.

Improving out-domain PLDA speaker verification using unsupervised inter-dataset variability compensation approach

Experimental studies have found that when the state-of-the-art probabilistic linear discriminant analysis (PLDA) speaker verification systems are trained using out-domain data, it significantly affects speaker verification performance due to the mismatch between development data and evaluation data. To overcome this problem we propose a novel unsupervised inter dataset variability (IDV) compensation approach to compensate the dataset mismatch. IDV-compensated PLDA system achieves over 10% relative improvement in EER values over out-domain PLDA system by effectively compensating the mismatch between in-domain and out-domain data.