Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …

Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …

Road detection is one of the key challenges for autonomous vehicles. Two kinds of sensors
are commonly used for road detection: cameras and LIDARs. However, each of them suffers …

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 …

According to the recent world bank report, around 80% of a life-cycle cost of a road is
devoted to maintenance which includes monitoring and repair processes. To more …

We present a literature review to analyze the state of the art in the area of road detection
based upon frontal images. For this purpose, a systematic literature review (SLR) was …

In this paper, we propose to fuse the LIDAR and monocular image in the framework of
conditional random field to detect the road robustly in challenging scenarios. LIDAR points …

At present, the LiDAR ground filtering technology is very mature. There are fewer
applications in 3D-object detection due to the limitations of filtering accuracy and efficiency …

We present a novel concept for teach-and-repeat visual navigation. The proposed concept is
based on a mathematical model, which indicates that in teach-and-repeat navigation …

This paper presents a driver assistance system for vehicle detection and inter-vehicle
distance estimation using a single-lens video camera on urban/suburb roads. The task of …