Takeo Miyasaka

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Pedestrian detection is one of the key technologies for autonomous driving systems and driving assistance systems. To predict the possibility of a future collision, these systems have to accurately recognize pedestrians as far away as possible. Moreover, the function to detect not only people walking but also people who are standing near the road is also(More)
This paper presents an approach for the robust recognition of a complex and dynamic driving environment, such as an urban area, using on-vehicle multi-layer LIDAR. The multi-layer LIDAR alleviates the consequences of occlusion by vertical scanning; it can detect objects with different heights simultaneously, and therefore the influence of occlusion can be(More)
This paper presents a newly developed high speed 3-D measurement system, which enable us to obtain continuously range image of 768x480 spatial resolution at video rate. It is based on a light pattern projection method and uses incoherent light source instead of laser beam. So it is not dangerous to environment. To obtain one range image, it needs to project(More)
Previously, we developed a real time 3-D measurement system based on slit-ray projection method, which enables us to obtain serial range images at 1/30 seconds per scene with an error within ±0.3%. It, however, uses laser beam as light source, so it has some disadvantages in safety and applied field of it is somewhat limited. In this regards, the aim of(More)
Most conventional approaches to integrate range images from plural view points utilize range images obtained under some artificial restrictions set on movement of the target or measurement system by predetermined scheme, so as to skip determining process of mutual position relationship between range images. This paper presents a method for integration of(More)
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