自动驾驶汽车的研究日趋成熟，在不久的将来，许多自动驾驶汽车可以在道路上行驶。这是因为;这类车辆具有高度的控制能力，能够以有效和高效的方式应对瞬时情况(Lam, Leung & Chu, 2014)。一些早期的工程技术革新了汽车工业的技术。早期的研究包括先进的跟踪系统、最优滤波技术和多传感器数据融合技术。多传感器组合或融合已用于汽车工业。欧盟资助的无人驾驶汽车最重要的项目之一被命名为PreVENT(2008)。这个项目旨在通过避免交通事故为司机提供安全保障。本项目主要致力于实现传感器数据融合技术，以创建有效的碰撞缓解策略。该项目得出结论，低水平的传感器数据融合是有效的，有利于产生传感器的组合效果，而高水平的组合将有利于可扩展性、模块化，能够处理通信负载。
The research on the autonomous vehicles is getting mature everyday and many such vehicles can run on the road in near future. This is because; such vehicles have high degree of control and have the capability to respond instantaneous situation in an effective and efficient manner (Lam, Leung & Chu, 2014). Some of the early works of engineering that revolutionized the technique of the automotive industry. Some of such early works include advanced tracking system, optimal filtering techniques and multi sensor data fusion techniques. Multiple sensor combination or fusions have been used in the automotive industry. One of the most significant projects funded by the European Union for the autonomous vehicles was named as PreVENT (2008). This project aimed towards providing the safety to the drivers by avoiding road accidents. This project was mainly dedicated towards implementing the sensor data fusion technique for creating the effective crash mitigation strategies. The project concluded that low level fusion of the sensor data is effective and beneficial in producing the combined effect of the sensors, while the high level combinations will be beneficial for scalability, modularity and would be able to handle the communication load.