In the intelligent traffic system (ITS), roadside sensing can obtain the movement
status of various objects in the traffic scene in real time with a globalized
perspective, which is of great significance for traffic flow optimization,
accident early warning, and rescue afterwards. Accurate target positioning is
one of the key links to realize these functions, which can not only help the
traffic management department to grasp the traffic condition in time, but also
provide the basis for rescue personnel to respond quickly when an accident
occurs, so as to minimize the damage caused by the accident. Therefore, a method
for acquiring the Global Positioning System (GPS) coordinates of objects relying
on monocular surveillance installed on the roadside is proposed in this paper.
By combining the target detection algorithm and the coordinate transformation
method, and considering the information such as the installation status and
internal parameters of the camera, the pixel positions of objects of interest
are converted to GPS coordinates under the Global Navigation Satellite System
(GNSS) by two different methods according to the known conditions in different
situations. In order to evaluate the accuracy and stability of the method in
practical applications, several sets of experiments in real scenes are
conducted. The results of the experiments show that the latitude and longitude
information of the objects in the camera-monitored scene can be estimated by our
method in different intervals from the camera. Meanwhile, comparative analysis
with other localization methods demonstrates the higher accuracy, feasibility,
and superiority of our method.