The Iterative Closest Point (ICP) is a matching technique used to determine the
transformation matrix that best minimizes the distance between two point clouds. Although …

In recent years, multiple Light Detection and Ranging (LiDAR) systems have grown in
popularity due to their enhanced accuracy and stability from the increased field of view …

The rapid expansion of Internet users results in an immense influx of network traffic within
extensive cloud data centers. Accurate and instantaneous identification and forecasting of …

Curb detection is an important function in intelligent driving and can be used to determine
drivable areas of the road. However, curbs are difficult to detect due to the complex road …

Current interactions of network traffic through cloud data centers have become an important
process of network services. Precise and real-time detection and prediction of network traffic …

Drivable region detection is a crucial upstream task for autonomous navigation, so speed
and accuracy are the most critical indicators for safe driving. In this article, we proposed a …

Curbs are one of the essential elements of urban and highway traffic environments. Robust
curb detection provides road structure information for motion planning in an autonomous …

Curb detection is essential for environmental awareness in Automated Driving (AD), as it
typically limits drivable and non-drivable areas. Annotated data are necessary for …

We propose a deep learning-based LiDAR odometry estimation method called LoRCoN-LO
that utilizes the long-term recurrent convolutional network (LRCN) structure. The LRCN layer …

Curb detection can be used to determine road boundary information, which plays a crucial
role in intelligent driving. In this paper, we propose an efficient 3D curb detection network …