What data is used for autonomous vehicles?

What types of data do autonomous vehicles rely on to navigate?

Autonomous vehicles use a variety of data types, including sensor data from LIDAR, cameras, radar, and GPS.

How do these sensors work together to ensure safety?

The sensors provide complementary information; for example, LIDAR creates a 3D map, while cameras identify objects and road signs.

What role does machine learning play in processing this data?

Machine learning algorithms analyze the data to recognize patterns, make predictions, and improve decision-making in real-time.

Are there any challenges in using this data?

Yes, challenges include data accuracy, sensor limitations, and the need for extensive training data to handle various driving conditions.