The traditional lane line detection algorithm relies on artificial design features, which has
poor robustness and cannot cope with the complex urban street background. With the rise of …

Generally, biometry-based control methods could not depend on separate expected
performance or co-operation for operating properly. Conversely, such methods can be …

In response to the rising frequency of traffic accidents and growing concerns regarding
driving safety, the identification and analysis of dangerous driving behaviors have emerged …

Lane detection is a key link in intelligent assisted driving systems. In order to improve the
accuracy and realtime performance of lane line detection, the paper proposes an new lane …

In the context of Big data, large-scale open online courses increase learning paths for
learners, but in the face of countless high-quality curriculum resources, it is easy for …

This exploratory research explores the intersection of artificial intelligence (AI) and higher
education, encompassing themes of technological disruption, labor implications …

In the current era, we can see that a lot of data lots of data is getting generated and it is
getting stored in the cloud. Like earlier systems, people are not using a floppy disk, hard …

This chapter explores the feasibility and utility of using aerial photography or remotely
sensed satellite imagery to identify geographic or “place” features that may be associated …

The Most face recognition systems only work well under quite constrain environments. In
particular, the illumination environment, facial expressions and head pose must be tightly …

Detection and recognition of textual information in an image or video sequence is important
for many applications. The increased resolution and capabilities of digital cameras and …