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Estimating the pose – position and orientation – of a moving object such as a robot is a necessary task for many applications, e.g., robot navigation control, environment mapping, and medical applications such as robotic surgery. The purpose of this paper is to introduce a novel method to fuse the information from several available sensors in order to improve the estimated pose from any individual sensor and calculate a more accurate pose for the moving platform.

Pose estimation is usually done by collecting the data obtained from several sensors mounted on the object/platform and fusing the acquired information. Assuming that the robot is moving in a three-dimensional (3D) world, its location is completely defined by six degrees of freedom (6DOF): three angles and three position coordinates. Some 3D sensors, such as IMUs and cameras, have been widely used for 3D localization. Yet, there are other sensors, like 2D Light Detection And Ranging (LiDAR), which can give a very precise estimation in a 2D plane but they are not employed for 3D estimation since the sensor is unable to obtain the full 6DOF. However, in some applications there is a considerable amount of time in which the robot is almost moving on a plane during the time interval between two sensor readings; e.g., a ground vehicle moving on a flat surface or a drone flying at an almost constant altitude to collect visual data. In this paper a novel method using a “fuzzy inference system” is proposed that employs a 2D LiDAR in a 3D localization algorithm in order to improve the pose estimation accuracy.

The method determines the trajectory of the robot and the sensor reliability between two readings and based on this information defines the weight of the 2D sensor in the final fused pose by adjusting “extended Kalman filter” parameters. Simulation and real world experiments show that the pose estimation error can be significantly decreased using the proposed method.

To the best of the authors’ knowledge this is the first time that a 2D LiDAR has been employed to improve the 3D pose estimation in an unknown environment without any previous knowledge. Simulation and real world experiments show that the pose estimation error can be significantly decreased using the proposed method.

Current news on environmental problems frequently emphasizes the totally unprecedented nature of the ecological crises that beset us in this nation and the Western world as a whole. We are told, for example, that the summer of 1988 constituted “the hottest summer on record” in North America. Similarly we hear mat Boston Harbor has never in its history been so polluted, and in European waters seal populations died of an epidemic in 1988 on a scale never before witnessed by man. By stressing this “never before” aspect of events, it is sometimes argued mat the experience of the past is largely irrelevant for policy planners. Since our circumstances are new, so the argument runs, past experience leaves us with little or no instruction for the formulation of a practical public policy for the environment.

As peer support services have become increasingly used in mental health settings as a recovery-oriented practice, so has the body of published research on this approach to care. The purpose of this paper is to provide an update on the current evidence base for peer support for adults with mental illness in two domains: mental health and recovery, and physical health and wellness.

To provide a robust, non-redundant, and up-to-date review, first the authors searched for meta-analyses and systematic reviews. Second, the authors found individual studies not included in any of the reviews.

Peer services are generally equally effective to services provided by non-peer paraprofessionals on traditional clinical outcomes. Although some studies found peer services to be effective at reducing hospitalization rates and symptom severity, as a whole, the current evidence base is confounded by heterogeneity in programmatic characteristics and methodological shortcomings. On the other hand, the evidence is stronger for peer support services having more of a positive impact on levels of hope, empowerment, and quality of life.

In addition to the need for further high-quality research on peer support in mental and physical health domains, the authors also question whether measures of hope, empowerment, and integration into the community are more relevant to recovery than traditional clinical outcomes.

This paper provides an original, robust, and up-to-date review of the evidence for peer services.

This research provides accounting-ethics authors and administrators with a benchmark for accounting-ethics research. While Bernardi and Bean (2010) considered publications in business-ethics and accounting’s top-40 journals this study considers research in eight accounting-ethics and public-interest journals, as well as, 34 business-ethics journals. We analyzed the contents of our 42 journals for the 25-year period between 1991 through 2015. This research documents the continued growth (Bernardi & Bean, 2007) of accounting-ethics research in both accounting-ethics and business-ethics journals. We provide data on the top-10 ethics authors in each doctoral year group, the top-50 ethics authors over the most recent 10, 20, and 25 years, and a distribution among ethics scholars for these periods. For the 25-year timeframe, our data indicate that only 665 (274) of the 5,125 accounting PhDs/DBAs (13.0% and 5.4% respectively) in Canada and the United States had authored or co-authored one (more than one) ethics article.

Employment can make an important contribution to individual well-being, for example, by providing people with a sense of purpose; however, autistic individuals face significant barriers to entering the workforce. This is reflected in high levels of underemployment and unemployment, with an estimated 80% of autistic people unemployed worldwide. This is higher than both other disability groups and people without disabilities. Research is needed to identify strategies that facilitate the sustained employment of autistic adults. This study aims to examine the perspectives of autistic individuals participating in a specialized employment program within the information and communication technology sector.

Three focus groups were conducted with nine adults on the autism spectrum. Data were analyzed using an inductive approach according to established guidelines, which included coding and categorizing data into themes.

Focus group analysis revealed four themes: trainees’ previous work experiences; expectations of the employment program; recruitment and selection processes; and training and transition. Several factors associated with the changes to the recruitment and selection process were found to benefit the autistic employees.

Few studies have characterized the work experiences of adults on the autism spectrum. Tailored employment processes that challenge traditional human resource management practices can increase the participation of autistic individuals in the workforce. Strategies for promoting the success of these programs are discussed.

Supporting the international fight against drug trafficking and serious crime is hard to contest; it is like being in favour of family values. Likewise, therefore, the fight against money laundering, ie burying or disguising the financial proceeds of those activities, including helping someone else to do so. The real and potential long‐term damage to societies, honest government, the rule of law and sound economies is now well recognised. But, on closer inspection, the route mapped out by the international community to achieve the laudable goal of putting serious criminals (and those who assist them) out of business by attacking the financial jugular causes a number of political, economic and legal tensions.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.