Improper handling of on-ramp merging may cause severe decrease of traffic efficiency and
contribute to lower fuel economy, even increasing the collision risk. Cooperative control for …

Efficient anomaly detection is crucial to ensure safe operation of Autonomous vehicles (AVs).
This study proposes an interpretable method for detecting anomalies in AV data based on …

Connected autonomous vehicles (CAVs) are revolutionizing the development of transportation
due to their potential to improve transportation performance in many ways, such as …

Accurate and robust localization is a fundamental requirement for safe autonomous driving.
Currently, most vehicles rely on single-vehicle localization (SVL) using the global navigation …

An accurate fault detection and diagnosis system is of great importance for autonomous
vehicles to prevent the potential hazardous situations. In this paper, we propose a fault detection …

Outstanding steps towards intelligent transportation systems with autonomous vehicles have
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …

Place recognition, which is also known as loop detection, has been one of the main problems
in the field of robot navigation, and it is crucial in realizing high-performance simultaneous …

Hybrid rice breeding for exploiting hybrid vigor, heterosis, has greatly increased grain yield.
However, the heterosis-related genes associated with rice grain production remain largely …

Simultaneous localization and mapping (SLAM) is used in solving the problems of
localization, navigation, and map construction for autonomous vehicles moving in unknown …

With the increasing development of internet, the security of personal information becomes
more and more important. Thus, variety of personal recognition methods have been …