By enabling novel road safety use cases, vehicle-to-everything (V2X) technologies have the potential to contribute to reducing the number of accidents of vulnerable road users (VRU). However, most ...

Below are the results of these models: The YOLOv8 classification model that was trained on our large training dataset showed exceptionally strong performance with nearly 99%+ accuracy. This is similar ...

The growing concerns about data privacy in society lead to restrictions on the computer vision research gradually. Several collaboration-based vision learning methods have recently emerged, e.g., ...

Future Implications The future is bright for computer vision with no signs of halting progression. As more medical data becomes available and statistical noise gradually reduces, AI will reach a point ...

Recent advances in the field of robotics have enabled the automation of various real-world tasks, ranging from the manufacturing or packaging of goods in many industry settings to the precise ...