This paper investigates the Augmented Lagrange Function (ALM) based model predictive
control (MPC) strategy for autonomous vehicle trajectory tracking. Firstly, a linear time …

In this paper, we are proposing a convolutional contrastive learning method that can
improve the generalization performance of image-based reinforcement learning. To do this …

In this paper, we will be utilizing a deep learning model with camera sensors to detect
objects, lanes, and road boundaries. By applying the ByteTrack technique, we ensure that …

With recent improvements in AI technology, the application of artificial intelligence is being
attempted in various research area. It is being used in the development of driver model or …

In this paper, we are proposing a methodology that can replace handcrafted feature points
and descriptors by using deep learning, and enhance image matching by using optical flow …

This study investigates methodologies for classifying data within automotive industry open
data portals, with a specific emphasis on comparative experiments among Transformer …

Recently, with the development of artificial intelligence technology, many technologies for
user convenience are being developed. Among them, interest in autonomous vehicles is …

Various sensors such as lidar, radar, and camera are fused and used in autonomous
vehicles. Rider and radar sensors are difficult to popularize because they are expensive …

Accurately verifying the complete parking status of a vehicle in automated charging and
automated equipment is essential. In particular, accurately determining the parking status of …

In this study, the Watch Dog monitoring system was designed by installing ROS Melodic
based on Ubuntu 18.04. Watch Dog is a system that detects programatic errors in …