The need to accurately estimate the speed of road vehicles is becoming increasingly
important for at least two main reasons. First, the number of speed cameras installed …

Visual surveillance of on-road vehicles has emerged as a vibrant research topic within the
fields of computer vision and Intelligent Transportation Systems (ITSs) to mitigate traffic …

In this paper, we propose a novel stereovision-based system for vehicle speed
measurement. Our system is set in a fixed location to capture two view stereo videos for …

In recent years, measuring the speed of vehicles by a single camera has been done using
several methods including the road geometric information, the difference in the number of …

In the modern world, road safety remains a relevant issue as the number of vehicles on the
road continues to grow. The alarming statistics of accidents, injuries and fatalities …

The core of smart city is to build intelligent transportation system.. An intelligent
transportation system can analyze the traffic data with time and space characteristics in the …

Providing huge amounts of data is a fundamental demand when dealing with Deep Neural
Networks (DNNs). Employing these algorithms to solve computer vision problems resulted in …

With the growth in vehicular traffic, there is a greater risk of road accidents. Over speeding,
intoxicated driving, driver distractions, red-light runners, ignoring safety equipment such as …

The proposed method comprises a computer vision-based system highly applicable in the
detection of a possible accident while driving. A stereo depth camera is placed in front of the …

Traffic congestion remains a pervasive issue in metropolitan contexts. Demanding effective
solutions for traffic management and road safety enhancement. Despite breakthroughs in …