Sensors in an automated vehicle (AV) can encounter occlusions caused by other traffic,
buildings, and vegetation, especially in urban areas. Information from infrastructure sensors …

Autonomous vehicles face numerous challenges to ensure safe operation in unpredictable
and hazardous conditions. The autonomous driving environment is characterized by high …

Decision-making in uncontrolled intersection is one of the main challenges in urban
autonomous driving. This paper proposed a new decision-making framework in uncontrolled …

Navigating safely through occlusion scenarios remains challenging for Autonomous
Vehicles (AVs) due to onboard sensors with obstructed Fields of View (FoVs). Integrating …

On highways, the interaction with surrounding vehicles is very crucial for the decision-
making and planning of autonomous vehicles. However, the multi-modal driving intentions …

The paper proposes motion control strategies for automated road vehicles to handle
interactions among vehicles. The control strategies are built in a hierarchical structure, which …

Motion planning for autonomous vehicles remains a challenge in urban road environments
with occlusions. In this study, we present a motion planning framework that prioritizes safety …

Widespread occlusion in complex natural environments severely restricts the accurate
segmentation and localization of approximately spherical fruits by existing automatic picking …

As the operational domain of autonomous vehicles expands, encountering occlusions
during navigation becomes unavoidable. Most of the existing research on occlusion-aware …

The development of connected and automated vehicles (CAVs) presents a great opportunity
to extend the current range of vehicle vision, by gathering information outside of its sensors …