Data engineer working on applied AI, data engineering, and production-grade ML systems with a focus on real-world deployment. Traffic violation detection is often presented as a simple computer vision ...

Abstract: The primary focus in autonomous driving systems is achieving precise perception, especially in tasks like lane detection, which ensures the vehicle remains within lane boundaries and avoids ...

Abstract: Safe navigation is enabled by lane detection, which is an important component of autonomous vehicles and Advanced Driver-Assistance Systems (ADAS). Existing methods struggle with accuracy ...

Driver drowsiness or fatigue is among the most important factors that cause traffic accidents; therefore, a monitoring system is necessary to detect the state of a driver drowsiness or fatigue. In ...

Lane-keeping systems are a major part of advanced driver assistance systems (ADAS). Existing lane detection algorithms are based on either Computer Vision (CV) models or deep learning techniques which ...

We were interested in testing artificial intelligence (AI) and specifically large language models (LLM) on Rockchip RK3588 to see how the GPU and NPU could be leveraged to accelerate those and what ...