Sentence examples for obstacle detection system from inspiring English sources

Therefore, an obstacle detection system based on machine vision is the subject of current research in smart vehicle technology.

In this paper, we develop a vision based obstacle detection system by utilizing our proposed fisheye lens inverse perspective mapping (FLIPM) method.

This paper describes two modules for pedestrian validation developed for integration into a vision-based obstacle detection system to be installed on an autonomous military vehicle.

To overcome these problems, we present a hierarchical census transform (HCT -based stereo matcHCT -basedd, and propostereoreal-timatchingobstacle detection systemethodg fisheye stereo candras.

A vision-based obstacle detection system is a key enabler for the development of autonomous robots and vehicles and intelligent transportation systems.

A vision based rear obstacle detection system is one of the most essential technologies, which can be used in many applications such as a parking assistance systems and intelligent vehicles.

Obstacle detection systems using advanced methods are constituted by Radar Method [8, 9] and video imaging [10, 11].

A recent study in the US collected subjective data from older drivers who owned vehicles equipped with backup obstacle detection systems, some which also provided distance-to-obstacle information (Cicchino et al. 2015).

That is why clearly identifying whether or not vehicles/pedestrians are trapped on the tracks and inside the barriers and efficiently using this information may reduce the risk of collisions between trains and vehicles/pedestrians. Obstacle detection systems appear as a breakthrough solution to improve LX safety and lower the number of fatalities.

Information of monitoring system, positioning system, meteorological system, vehicle control and obstacles detection system is also given within the paper.

In order to avoid the limits of these proposed technologies, an obstacle-detection system utilizing stereo cameras is proposed to detect and localize multiple objects at level crossings.