研究生毕业论文代写-视觉传感器

研究生毕业论文代写-视觉传感器。视觉传感器属于无源传感器的范畴,因为这些传感器对环境的照明不产生光线。相反,基于视觉的传感器感知的环境是基于不同的波长、灰度、颜色和红外(Chen et al., 2012)。基于视觉的传感器包括立体视觉摄像机和单目摄像机。caimage序列技术可以帮助检测路上的交通工具和车辆。这些基于视觉的传感器在识别行人、交通标志和道路交通场景中非常有用。这些传感器使用的主要技术是图像处理和模式识别。接下来论文范文研究生毕业论文代写-基于视觉的传感器分享给留学生阅读。

The vision basd sensors comes in the category of he passive sensor category, because these sensors do not emitt ray for illumination of the enviroenment. Instead, vision based sensors perceive the eniroenment that is based on different wave lengths, grey scale, color and infra red (Chen et al., 2012). The vision based sensor includes the stereo vision camera and the monocular camera. The technique of caimage sequences helps in detecting the opbstacles and vehicles on the road. Thse vision based sensors are very helpful in indetifying the pedestrians, traffi signs and on road traffic scenes. The main technique that is used by these sensors is image processing and pattern recognition (Musleh et al., 2010).

Transportation is a very important means for the prosperity and working of the societies. However, transportation is associated with some negative externalities such as pollution, accidents, collisions and human causalities. Many studies have provided significant evidences for the increasing cost in various aspects due to human driven cars (Bagloee et al., 2016). These costs are different from the other direct costs associated with human driven vehicles (petrol, car maintenance, traffic congestion, environmental degradation and security).

According to the laser and radar sensors, the vision based sensors are not able to deriove the velocity and range of the obstacle, but th signals are received by the installation of the signal processing strategy. These types of sensors are considered to be applicable for the driverless cars because of their avaialbility and affordability. Other advantages are that the camer is able to distinguish between the various objects on the basis of their physical properties. Again the drawback of this sensor technology is vulnerability in complex weather conditions, such as during thick fog, rain and cameras are unablke to wok in very dark without tbeing equipped by a night vision sensor.

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