Researchers have created an ultrasensitive laser the size of a penny that could improve lidar technology, boosting autonomous ...

Project Overview This project focuses on developing a real-time object detection system for autonomous vehicles using machine learning. The system detects and classifies objects such as pedestrians, ...

Keywords: autonomous navigation, robotic control, path tracking, deep reinforcement learning, SLAM, RS-DDPG algorithm Citation: Khan S, Niaz A, Yinke D, Shoukat MU and Nawaz SA (2025) Deep ...

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 ...

This study demonstrates the vital role of sensor fusion in autonomous vehicles by integrating various sensors. This study focuses on sensor fusion for object-road detection and path planning using the ...

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 ...

Real-world vision systems rely on 3D object detection, which is critical in developing perception capabilities for AVs and mobile autonomous robots. But what’s the best approach ...