无人驾驶汽车技术被认为是未来的创新，将减少最多，并将有助于克服各种外部性。无人驾驶汽车主要基于传感器技术。根据Thierer & Hagemann(2014)的说法，基于传感器技术的无人驾驶汽车将执行所有的安全驾驶功能，并监控道路状况(Anderson et al .，2014)。无人驾驶汽车将需要不同传感器的融合，以提供完全自动驾驶汽车的先锋技术。激光传感器与摄像机之间的融合有助于为障碍物检测创造一项重要的技术。研究发现，三角测量能够为对象检测创建有效的图像。飞行的时间比较复杂，距离的范围也比较小。然而，三角测量中的相机范围为对象检测提供了精确的图像。激光技术和雷达传感器在飞行时间测量中对远距离探测非常重要。然而，三角测量需要摄像机来处理3D图像。
The driverless car technology is significantly perceived as the future innovation that will reduce the most and will help in overcoming the various externalities. The driverless cars are mainly based on the sensor technologies. According to Thierer & Hagemann (2014), the driverless cars based on the sensor technology will perform all the safety driving functions and monitor the road way conditions (Anderson et al., 2014). The driverless cars will require the fusion of the different sensors for providing the avant-garde technology of the fully autonomous cars. The fusion between the laser sensors and the camera can help in creating an important technology for the obstacle detection. The study found that triangulation is able to create effective images for the object detection. The time of flight measurement is more complex and the range of distance is very less. However, the range of cameras in triangulation provides accurate images for object detection. Laser technology as well as the radar sensors is very significantly important for detection and ranging on long distance in the time of flight measurement. However, the triangulation requires cameras for processing 3D images.