Nowadays, automated vehicles are one of the key areas of automobile sector. The technology that is used in these cars requires a proper mapping of the surrounding they are in. The AI-models needs to be trained not only in detecting the objects that are present outside the ego-vehicle, but also the position and the measurement of the objects. This process will further enhance the module and provide a more hassle-free ride to the user of the ego-vehicle.
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The Lidar process will hold a key significance in autonomous driving architecture because of its ability to detect objects and sense their position. The autonomous vehicles will provide a smoother ride to the user and will avoid collisions or confusions on road. Moreover, the need of learning driving or hiring a driver to use a car will eventually reduce.