Roads are an essential mode of transportation, and maintaining them is critical to economic
growth and citizen well-being. With the continued advancement of AI, road surface …

Informative representation of road networks is essential to a wide variety of applications on
intelligent transportation systems. In this article, we design a new learning framework, called …

Traffic sign recognition (TSR) systems are essential for strengthening road safety, enhancing
traffic management, and promoting efficient driving due to the ever-increasing number of …

Deep learning fields are advancing at an ever-increasing rate in the modern world. Many
new ideas and various algorithms are being developed. Traffic signs are crucial for …

Participants of the fifth edition of SHL recognition challenge 2023 aim to recognize eight
locomotion or transportation modes in a user-independent manner based on motion and …

Nowadays, intelligent transportation system (ITS) has become one of the most popular
subjects of scientific research. ITS provides innovative services to traffic monitoring. The …

The shortage and imbalance of parking spaces have become serious problems in recent
years on the roadside. Drivers may park incorrectly, which may take more parking space and …

Road feature extraction from remote sensing images is one of the most challenging research
which is mainly performed in the spatial system. The road feature extraction may be utilized …

Vehicle type classification technology plays an important role in the intelligent transport
systems nowadays. With the development of image processing, pattern recognition and …

The rapid growth of population and the permanent increase in the number of vehicles
engender several issues in transportation systems, which in turn call for an intelligent and …