Instead of selecting individual autonomous vehicle winners, KARS fund encompasses the complete supply chain supporting ...

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

Autonomous vehicles are arriving fast. Here's how cities can prepare—by rethinking curbs, sharing data, and shaping AV deployment to meet climate and mobility goals.

Research from internet of things (IoT) specialist analyst Berg Insight projects rapid adoption of autonomous vehicle technology over the next five years.

Self-driving cars will soon be able to "think" like human drivers under complex traffic environments, thanks to a cognitive encoding framework built by a multidisciplinary research team from the ...

Autonomous vehicles integrate complex software stacks for realizing the necessary iterative perception, planning, and action operations. One of the foundational layers of such stacks is the perception ...

However, the technology for functionally safe GNSS/INS localization in autonomous vehicles is still not fully established. This gap is particularly crucial in safety-critical applications, where ...

According to Nvidia CEO Jensen Huang, AlexNet, an AI model from over a decade ago, is what sparked the company's investment in autonomous vehicles.

3D mapping and localization are essential tasks for autonomous vehicles, as they allow them to perceive their surroundings and navigate safely and efficiently. However, choosing the best sensors ...

The journey of autonomous driving began in the mid-20th century, rooted in theoretical ideas and pioneering experiments. In the 1950s, General Motors introduced the Firebird II, a visionary concept ...