One of the essential systems in autonomous vehicles for ensuring a secure circumstance for
drivers and passengers is the Advanced Driver Assistance System (ADAS). Adaptive Cruise …

Recently, the development and application of lane line departure warning systems have
been in the market. For any of the systems, the key part of lane line tracking, lane line …

The image-based lane detection algorithm is one of the key technologies in autonomous
vehicles. Modern deep learning methods achieve high performance in lane detection, but it …

Autonomous driving is the future of the automotive industry across the globe. Many
challenges must be resolved in designing and developing successful Autonomous Driving …

The high cost of pavement detection equipment has constrained its application. Existing
pieces of lightweight detection equipment still face the problem of integrated installation …

Lane detection is essential for many aspects of autonomous driving, such as lane-based
navigation and high-definition (HD) map modeling. Although lane detection is challenging …

Lane detection is a fundamental task in urban traffic management. Like lane detection for
automatic driving, lane detection for traffic management will be faced with common …

Training a robust deep model for lane line segmentation is challenging due to the complex
and changeable scenarios in autonomous driving, such as poor lighting conditions …

Cosegmentation and coattention are extensions of traditional segmentation methods aimed
at detecting a common object (or objects) in a group of images. Current cosegmentation and …

Accurate lane detection is critical for navigation in autonomous vehicles, particularly the
active lane which demarcates the single road space that the vehicle is currently traveling on …