英国论文代写路顿大学：无人驾驶汽车
英国论文代写路顿大学：无人驾驶汽车
虽然无人驾驶汽车的发展很遥远，但它需要可靠的技术来克服许多挑战。全世界有许多汽车制造商正致力于制造带传感器的无人驾驶汽车。欧盟的智能汽车计划正致力于广泛使用微控制器，传感器和执行器，以帮助驾驶员更加关注道路，以避免事故和意外事故。计算机技术已经被用于汽车中以帮助驾驶员并帮助他们找到正确的杆和转弯，该技术的不久的将来肯定会经历技术的发展和进步的转变。这一进步将有助于克服与自主导航相关的许多问题。
自主导航的一些重要问题是本地化（我在哪里），地图构建（从哪里来），路径规划（必须去哪里）和路径跟踪（如何到达目的地？）（Fagnant＆amp;） 。无人驾驶汽车中的传感器技术将为车辆提供完全控制，驾驶员将仅仅是传感器的监督者。用于无人驾驶汽车的传感器可分为两种不同类型：有源传感器和无源传感器。这种分类是基于它们能够通过主动探测环境或被动地感知环境来测量它们的能力和物理现象来完成的（Yenkanchi，2016）。
有源传感器主要是那些发送用于检测车辆周围物体的辐射并且还消除了发射噪声的传感器。然而，无源传感器是感知基于环境照明的信息的传感器。被动传感器被认为在其机构方面较便宜。有源传感器的一些示例是基于雷达的传感器，基于激光的传感器和基于超声波的传感器。无源传感器的一个重要示例是相机。
英国论文代写路顿大学：无人驾驶汽车
Although, the development of the driverless cars is far, it requires the reliable technology for overcoming many challenges. There are many automakers all over the world who are working towards manufacturing the driverless car with sensors. Intelligent Car Initiative of the European Union is working towards making the extensive use of the micro controllers, sensors and actuators to help the drivers to have an extra eye on the road in order to avoid accidents and mishaps. The way computer technology has been used in the cars to help the drivers and assisting them to find the correct rods and turns, the near future of the technology will definitely experience a shift in the development and advancement of the technology. This advancement will help to overcome many problems that are associated with the autonomous navigation.
Some of the significant issues with autonomous navigation are localization (where am I), Map building (from where I am coming), path Planning (where have to go) and path tracking (how to get on destination?) (Fagnant & ). The sensor technology in the driverless car will provide the complete control to the vehicle and driver will be mere supervisor for the sensors.
The sensors for the driverless cars can be classified in two different types, Active sensors and Passive sensors. This classification is done on the basis of their capability and physical phenomenon they are able to measure by actively probing the environment or by passively perceiving the environment (Yenkanchi, 2016).
Active sensors are mainly those which send the radiations for detecting an object around the vehicle and it also eliminates the noise of emissions. However, the passive sensors are those perceiving the information that is based on the illumination of the environment. Passive sensors are considered to be less expensive in the way of their mechanism. Some of the examples of the active sensors are radar based sensors, laser based sensors and ultrasonic based sensors. One significant example of the passive sensor is camera.
