Neural networks have proven to be a highly effective tool for solving complex problems in
many areas of life. Recently, their importance and practical usability have further been …

Fusion of information from infrared and visible images from different modalities has always
been a hot research topic in the field of image processing. In order to solve the problem that …

Aiming at the problem of easy misdetection and omission of small targets of long-distance
vehicles in detecting vehicles in traffic scenes, an improved YOLOX_S detection model is …

The traditional rearview mirror method cannot fully guarantee safety when driving trucks.
RGB and infrared images collected by cameras are used for registration and recognition, so …

Traffic sign detection and recognition (TSDR) is a crucial technology to realize vehicle
autonomous driving and maintain road safety. Misdetection or misclassification of traffic …

There exists paramount importance of traffic signs in ensuring road safety and efficiency,
emphasizing their role in communicating vital informa-tion and regulations, transcending …

The booming development of unmanned technology has placed greater demands on traffic
sign detection. In this context, speed and accuracy are simultaneously pursued, yet existing …

Due to the improvement in the car manifacture, the rate of road traffic accidents is increasing.
To solve these problems, there is loads of attention in research on the development of driver …

Teknologi kendaraan otonom telah mengalami perkembangan pesat dalam beberapa tahun
terakhir. Tujuan utama dari teknologi ini adalah untuk mengurangi kecelakaan lalu lintas …

Aluminum profiles are indispensable basic raw materials in the industrial manufacturing
process and are widely used in various fields. However, in the production process of …