论文代写：汽车传感器技术
在本研究中，对未来无人驾驶汽车的传感器技术进行了综述。本文讨论了各种证据支持的大量文献。论文提供了自主或无人驾驶汽车的明确分类。这些证据显示，这些汽车主要基于传感器技术，可以帮助检测道路上的物体，探测障碍物，防撞和自动停车。通过传感器工作的无人驾驶汽车可以帮助改善土地使用，并将提高机动性和可及性。本文讨论了物体探测距离的计算，即在飞行时间和三角测量的基础上。在研究中讨论的三种主要传感器技术包括激光传感器(基于光探测和测距和激光扫描仪)，雷达传感器(以前用于航空和国防)和基于视觉的传感器(摄像机)。研究表明，所有的传感器都有一些优点和缺点。因此，传感器融合将有助于提高生产成熟的无人驾驶汽车的整体技术。进一步的研究和实验是为了发现传感器技术融合的好处。
论文代写：汽车传感器技术
In this study, the sensor technology has been reviewed for the future driverless cars. The paper discussed the wide array of literature for supporting various evidences. Paper provides the clear classification of the autonomous or the driver-les cars. The evidences displayed that these cars are mainly based on the sensor technology that will help in detection of the objects on the road, detecting obstacles, collision mitigation and automatic parking. Driverless cars working through sensors can help in improving land use and will increase mobility and accessibility. Paper discussed the calculation of the distance for the object detection, in terms of time of flight and triangulation. The three main sensor techniques discussed in the study includes laser sensor (based on the Light Detection and Ranging and Laser Scanner), Radar sensor (previously used in aviation and defence) and Vision based sensor (Cameras). The study concludes that all the sensors have some advantages and disadvantages. Therefore, the sensor fusion will help in improving the overall technique of producing the full-fledged driverless cars. The further study and experiments are required for finding the benefits of the fusion of sensor technology.