Strategies for the Development of the next Generation of Mobile Mapping Systems

Mobile Mapping Systems (MMS) refer to an increasing range of moving platforms upon which multiple sensors and measurement systems have been integrated to provide continuous, three-dimensional positioning and orientation of the platform and simultaneously collected spatial data. In order to increase the uptake of MMS across the industry sectors that can most benefit, the limitations of cost and usability facing current generation MMS need to be addressed. This paper proposes that these limitations can be addressed by integrating research developments in the fields of positioning technologies, spatial cognition modelling and human behavioral studies. Whilst these areas of research have previously been undertaken in relative isolation, it is anticipated that their inherent synergies for MMS as presented in this paper will offer some novel perspectives for developing the next generation of MMS. Specifically, this paper addresses the performance issues associated with the use of the Global Positioning System (GPS) and low-cost positioning and orientation sensors for MMS. It presents algorithms for integrating the on-board positioning and orientation sensors with the view to making them more robust. Additionally, this paper presents a typical approach drawn from current research in human spatial cognition studies that aims to convert measured data into information and ultimately knowledge for the user. Finally, this paper will outline the next phase of this research that aims to fully integrate these independent research themes to develop the next generation of robust, context aware MMS.