Road boundary estimation is an essential task for autonomous vehicles and intelligent
driving assistants. It is considerably straightforward to attain the task when roads are marked …

Efficient and accurate road boundary detection is a fundamental building component of the
perception system for autonomous driving. Specially, the challenges for road boundary …

To prevent vehicles running off road, road edge detection is a fundamental function. Current
work on road edge detection has not exhaustively tackled all weather and illumination …

Lane boundary detection technology has progressed rapidly over the past few decades.
However, many challenges that often lead to lane detection unavailability remain to be …

Autonomous vehicle safety driving requires many vision tasks, such as road segmentation,
lane mark detection, and vehicle recognition by frontal cameras. However, all these tasks …

Perceiving road networks plays a key role in navigating a robot on the road. The estimation
of the robot's ego lane grows in complexity if crossroads have to be passed. Especially in …

A road recognition system or Lane departure warning system is an early stage technology
that has been commercialized as early as 10 years but can be optional and used as an …

Autonomous and safety driving require the control of vehicles within roads. Compared to
lane mark tracking, road edge detection is more difficult because of the large variation in …

Although many algorithms have been proposed for the camera-based detection of road
features (such as road markings, curbstones and road borders), truly contextual or relational …

A vision-based road detection technique is important for implementation of a safe driving
assistance system. A major problem of vision-based road detection is sensitivity to …