Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...

In this tutorial, we’ll build a complete lane-following robotic car in Isaac Sim using OpenCV and ROS 2. The robot will use a simulated front-facing camera to detect lane markings in real time, ...

This article presents the development of DriveMind AI, a simulation-based Advanced Driver Assistance System (ADAS) prototype implemented using Python, OpenCV, and the Webots robotics simulator. The ...

In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.

To control traffic lights efficiently based on traffic congestion. System Initialization Table is passed as first parameter sit1.txt -- demonstrate 4 lane traffic sit2.txt -- demonstrate 3 lane ...

Abstract: Lane detection is a critical component of Advanced Driver Assistance Systems (ADAS) aimed at improving road safety. This paper introduces a real-time lane detection system using computer ...

Recent advancements in machine learning and deep learning have revolutionized various computer vision applications, including object detection, tracking, and classification. This research investigates ...

We selected 15 test persons with different ages (20–67 years), genders (female: 6, male: 9), and body mass index (21–44). For each subject, we record 15 min of driving: (1) in the city, (2) on the ...

Abstract: Lane detection is a critical task in autonomous driving that involves identifying the lane boundaries on the road. In this paper, we propose an image processing-based approach for lane ...