Infrastructure sensors installed at elevated positions offer a broader perception range and
encounter fewer occlusions. Integrating both infrastructure and ego-vehicle data through …

This survey analyzes intermediate fusion methods in collaborative perception for
autonomous driving, categorized by real-world challenges. We examine various methods …

By sharing complementary perceptual information, multi-agent collaborative perception
fosters a deeper understanding of the environment. Recent studies on collaborative …

Stand-alone perception systems in autonomous driving suffer from limited sensing ranges
and occlusions at extended distances, potentially resulting in catastrophic outcomes. To …

Traditional collaborative perception methods typically focus on optimizing perception
performance in ideal wireless transmission conditions. However, in real-world constrained …

Collaborative Perception (CP) has been a promising solution to address occlusions in the
traffic environment by sharing sensor data among collaborative vehicles (CoV) via vehicle-to …

Vehicle-to-Everything communications-assisted Autonomous Driving (V2X-AD) has
witnessed remarkable advancements in recent years, with pragmatic communications …