The automatic recognition of traffic signs is essential to autonomous driving, assisted driving,
and driving safety. Currently, convolutional neural network (CNN) is the most popular deep …

Autonomous Vehicles (AV's) have achieved more popularity in vehicular technology in
recent years. For the development of secure and safe driving, these AV's help to reduce the …

Nowadays, the number of road accident in Malaysia is increasing expeditiously. One of the
ways to reduce the number of road accident is through the development of the advanced …

Recent developments in Information and Communication Technology have facilitated a new
concept of Smart City to the world. The Smart City concept is driven by technology …

Tracking of moving vehicles and pedestrians is the most important application in traffic
surveillance videos. This study develops a highly efficient and fast multi-object tracking …

The detection of object with respect to vehicle and tracking is the most needed step in
computer research area as there is wide investment being made form intelligent traffic …

With the decreasing cost of traffic cameras and rapid advancement in computer vision and
artificial intelligence, develo** robust traffic surveillance systems has become more …

The paper proposes a robust approach to detect and track the vehicle under various climatic
conditions and in the presence of camera shake, shadows, sudden illumination change …

Recent years have witnessed significant advancements in machine perception, particularly
in the context of self-driving vehicles. The accurate detection and interpretation of road signs …

Traffic indication is an important part of the road environment, providing information about
road conditions, restrictions, prohibitions, warnings, and the current status related to the flow …