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 ...

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

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 ...

"Machine learning algorithms enable vehicles to 'learn' from real-world conditions and evolve," says Dr. Rohit Ugle, a visionary Technical Specialist who champions new technological tools to improve ...

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 ...

TEL AVIV, Israel, Nov. 10, 2020 /PRNewswire/ -- SafeRide Technologies, a leading provider of AI-based vehicle health management (VHM), data analytics, and cybersecurity solutions unveiled today ...

Artificial intelligence (AI) has quietly become one of the most important, and divisive forces shaping the modern automobile. While electrification and software-defined vehicles dominate public ...

Why vehicle interiors are an extremely challenging acoustic environment. How Dirac uses data measurements to determine each car’s unique “acoustic fingerprint.” What is a “super speaker” and how does ...