PURPOSES : This study is to develop an comprehensive validation methodology for autonomous mobility-on-demand system with level 4 automated driving system. METHODS : The proposed method includes the quantitative techniques for validating both automated driving system and center system using each optimal indicators. In addition, a novel method for validating the whole system applying multi-criteria decision methodology is suggested. RESULTS : The relative weights for the vehicle system was higher than the center systems. Moreover, the relative weights of failure rate for validating the vehicle system was the highest, in addition to, a relative weight for accuracy of dynamic routing algorithm within center system was the highest. CONCLUSIONS : The proposed methodology will be applicable to validate the autonomous mobility on demand system quantitatively considering the relative weights for each systems.

The purpose of this study is to propose future-oriented high-rise buildings where the vehicle is parked at the top of the building. At the same time, the vehicle is used as a part of the building along with the advent of the era of autonomous driving. The suspended structure is proposed as a suitable structural system for architectural planning. This system is free to design because there are no limitations on column planning compared to conventional designs. In particular, the low-floor plan can be used as an open space because colums are not arranged in the lower-floors. Thereby opened low-floor plan has advantages that visual perception of the space is improved, noise problems along the side of the street is solved and planning underground parking spaces are easier. These advantages can solve the problem of overlapping columns with vehicle traffic in the building. However, there are some problems that the suspension structure is mainly a formal form and the usable area is small compared to the core area because it is a core-oriented structural system. In this regard, a new structural system was proposed by combining the concept of suspended structure and cable stayed column. Therefore, this paper analyzes the existing style of high-rise housing suspended Structure and proposes a new structural system and the concept of design for autonomous vehicles.

This paper presents a localization system using ceiling images in a large indoor environment. For a system with low cost and complexity, we propose a single camera based system that utilizes ceiling images acquired from a camera installed to point upwards. For reliable operation, we propose a method using hybrid features which include natural landmarks in a natural scene and artificial landmarks observable in an infrared ray domain. Compared with previous works utilizing only infrared based features, our method reduces the required number of artificial features as we exploit both natural and artificial features. In addition, compared with previous works using only natural scene, our method has an advantage in the convergence speed and robustness as an observation of an artificial feature provides a crucial clue for robot pose estimation. In an experiment with challenging situations in a real environment, our method was performed impressively in terms of the robustness and accuracy. To our knowledge, our method is the first ceiling vision based localization method using features from both visible and infrared rays domains. Our system can be easily utilized with a variety of service robot applications in a large indoor environment.