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

AstaZero has unveiled the world’s most advanced proving ground for connected vehicles, an ambitious leap into a 6G-powered ...

Microsoft is transforming its AI research capabilities into enterprise-grade infrastructure with the limited preview launch of enhanced agent support in Azure AI Foundry.

These systems depend heavily on data annotation to train AI/ML models that enable real-time perception and decision-making. Raw data is collected from a suite of sensors, including LiDAR, radar, ...

By 2030, the autonomous vehicle market is expected to surpass $2.2 trillion, with millions of cars navigating roads using AI and advanced sensor systems. Yet amid this rapid growth, a fundamental ...

Consequently, several recent studies using deep learning techniques and deep network architectures have incorporated strategies to search for similar or even identical scenarios and objects (Chen et ...

Self-driving cars or autonomous vehicles (AVs) represent a transformative technology with the potential to revolutionize transportation. The rise of self-driving cars has driven remarkable progress in ...

Our proposed system employs a deep learning methodology to identify real-time potholes, enabling autonomous vehicles to avoid potential hazards and minimise accident risk. We assess the effectiveness ...

The next steps are to explore additional deep learning algorithms for 3D object detection. "By improving detection capabilities, this system could propel autonomous vehicles into the mainstream,” Jeon ...