Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Abstract: With the rapid development of autonomous driving technologies, traffic light detection and recognition is one of the indispensable techniques for intelligent vehicles. This paper presents ...

Abstract: This research addresses the critical issue of traffic light detection and recognition in advanced driver assistance systems. In this paper, we propose a novel two-stage detection framework ...

Module for detecting traffic lights in the CARLA autonomous driving simulator. Based on the YOLO v2 deep learning object detection model and implemented in keras, using the tensorflow backend.

HD-maps are one of the core components of the self-driving pipeline. Despite the effort of many companies to develop a completely independent vehicle, many state-of-the-art solutions rely on ...