Researchers have proposed a personalized longitudinal motion planning policy for intelligent vehicles that combines reinforcement learning with imitation learning. The approach is designed to reduce ...

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

Unlike fully electric vehicles, fully online programs are not inherently superior from an environmental perspective. However, to understand the future of higher education, the transition from gas to ...

Researchers have proposed an integrated eco-driving framework for fuel cell hybrid electric vehicles in multi-lane highway ...

Tata-owned Jaguar Land Rover says it has developed – with the help of the latest artificial intelligence technologies – a “self-learning vehicle” that can offer a “completely personalised driving ...