Object detection and recognition of road scenes are crucial tasks of the autonomous driving
environmental perception system. The low inference speed and accuracy in object detection …

Traffic light detection and recognition technology are of great importance for the
development of driverless systems and vehicle-assisted driving systems. Since the target …

With the development of national economy, the output of waste is also increasing. People's
living standards are constantly improving, and the problem of garbage pollution is …

Aiming at the problems of target detection models in traffic scenarios including a large
number of parameters, heavy computational burden, and high application cost, this paper …

To address issues such as low detection accuracy and limited real-time performance in road
scene detection, a novel road scene detection algorithm based on CMS-YOLO is proposed …

Road lighting is one of the largest consumers of electric energy in cities. Research into
energy-saving street lighting is of great significance to city sustainable development and …

Vision-based road lane detection is a critical technology for autonomous driving, enabling
vehicles to navigate safely and efficiently under constrained conditions such as accurately …

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