Crack is one of the most common road distresses which may pose road safety hazards.
Generally, crack detection is performed by either certified inspectors or structural engineers …

Autonomous driving is experiencing rapid development. A lane-level map is essential for
autonomous driving, and a lane-level road network is a fundamental part of a lane-level …

This article presents a novel road damage detection algorithm based on unsupervised
disparity map segmentation. Firstly, a disparity map is transformed by minimizing an energy …

Collision-free space detection is a critical component of autonomous vehicle perception. The
state-of-the-art algorithms are typically based on supervised deep learning. Their …

Lane marking detection is a fundamental but crucial step in intelligent driving systems. It can
not only provide relevant road condition information to prevent lane departure but also assist …

Computer vision systems have demonstrated to be useful in applications of autonomous
navigation, especially with the use of stereo vision systems for the three-dimensional …

In recent years, autonomous vehicles have become increasingly popular. Different
Advanced Driver Assistance Systems (ADAS) are implemented in today's vehicles and one …

As an important component of autonomous systems, autonomous car perception has had a
big leap with recent advances in parallel computing architectures. With the use of tiny but full …

Stereo vision techniques have been widely used in civil engineering to acquire 3-D road
data. The two important factors of stereo vision are accuracy and speed. However, it is very …

Vision-based lane-detection methods provide low-cost density information about roads for
autonomous vehicles. In this paper, we propose a robust and efficient method to expand the …