This paper presents a comprehensive literature review on environment perception for
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …

In the context of autonomous vehicles on highways, one of the first and most important tasks
is to localize the vehicle on the road. For this purpose, the vehicle needs to be able to take …

Recently, a chat generative pre-trained transformer (ChatGPT) attracts widespread attention
in the academies and industries because of its powerful conversational ability with human …

Over the past decades, Intelligent Transportation Systems (ITS) have developed and
deployed in order to improve transportation safety and mobility, reduces environmental …

Lane detection is a fundamental aspect of most current advanced driver assistance systems
(ADASs). A large number of existing results focus on the study of vision-based lane …

This paper proposes an envelope control framework for four-wheel independently actuated
autonomous ground vehicle (AGV) to regulate it on desired path and simultaneously control …

Autonomous driving in public roads requires precise localization within the range of few
centimeters. Even the best localization systems based on GNSS cannot always reach this …

In driving scenes, road agents often engage in frequent interaction and strive to understand
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …

Global registration using 3D point clouds is a crucial technology for mobile platforms to
achieve localization or manage loop-closing situations. In recent years, numerous …

The gradual proliferation of high-definition (HD) maps has played a pivotal role in the
advancement of intelligent vehicles. However, a considerable number of vehicles still face …