Self-driving cars have the potential to bring many changes to future roadways and transportation industries. They could potentially, for example, reduce traffic congestion; lower the number of accidents; and enable new self-driving, ride-hailing and trucking services. AI technologies power self-driving car systems. Developers of self-driving cars use vast amounts of data from image recognition systems, along with machine learning and neural networks, to build systems that can drive autonomously.

Future scope:

For automakers focused on delivering vehicles with higher levels of automation, there is enormous potential for growth. Consumers interested in the convenience of hands-free driving might want cars with more advanced autonomous functions (including L2+, L3, and L4), which give the autonomous system greater control over driving tasks. Costs for sensors and high-performance computers are decreasing, while safety standards for AD technologies are continuing to advance. Taken together, these factors could help the auto industry introduce more advanced autonomous features to a broad range of vehicles over time.