Accurate multi-parameter perception of pavement traffic load state is a prerequisite for smart
highway construction, which is essential in improving the level of road intelligence and …

The context of this study examines the requirements of Future Intelligent Networks (FIN),
solutions, and current research directions through a survey technique. The background of …

Video streaming-based real-time vehicle identification and license plate recognition systems
are challenging to design and deploy in terms of real-time processing on edge, dealing with …

Multi-view vehicle re-identification (Re-ID) aims to retrieve all images of a target vehicle from
a large gallery where the vehicles are captured from non-overlapping cameras. However …

As an indispensable part of intelligent transportation system (ITS), vehicle re-identification
(Re-ID) aims to retrieve all target vehicle images captured from non-overlapping cameras …

Real-world datasets facilitate the development of autonomous vehicles, especially when
they are accessible, diverse, and provide a measure of accuracy. While existing datasets …

Vehicle re-identification (Re-ID) is a critical task in intelligent transportation, aiming to match
vehicle images of the same identity captured by non-overlapping cameras. However, it is …

Recent tracking-by-detection approaches use deep object detectors as target detection
baseline, because of their high performance on still images. For effective video object …

Vehicle re-identification helps in distinguishing between images of the same and other
vehicles. It is a challenging process because of significant intra-instance differences …

Vehicle re-identification (v-reID) is a crucial and challenging task in the intelligent
transportation systems (ITS). While vehicle re-identification plays a role in analysing traffic …