This study proposes a vision-based intelligent nighttime driver assistance and surveillance
system (VIDASS system) implemented by a set of embedded software components and …

This paper presents an effective traffic surveillance system for detecting and tracking moving
vehicles in nighttime traffic scenes. The proposed method identifies vehicles by detecting …

This study presents an effective method for detecting vehicles in front of the camera-assisted
car during nighttime driving and implements it on an embedded system. The proposed …

This study proposes a vision-based nightime surrounding nighttime vehicle detection system
implemented by automatic multilevel thresholding method, denoise, connected component …

Night time vehicle detection and tracking using traditional visible light cameras is a
challenging task due to the limited visibility. The current state-of-the-art systems treat the …

The lack of discernible vehicle contour features in low-light conditions poses a formidable
challenge for nighttime vehicle detection under hardware cost constraints. Addressing this …

This study presents an effective method for detecting vehicles in front of the camera-assisted
car during nighttime driving and implements it on an embedded system. The proposed …

This paper presents an effective nighttime vehicle detection system that combines a novel
bioinspired image enhancement approach with a weighted feature fusion technique …

An important and challenging aspect of developing an intelligent transportation system is the
identification of nighttime vehicles. Most accidents occur at night owing to the absence of …

Vehicle detection and type recognition based on static images is highly practical and directly
applicable for various operations in a traffic surveillance system. This paper will introduce …