End-to-End driving is a promising paradigm as it circumvents the drawbacks associated with
modular systems, such as their overwhelming complexity and propensity for error …

Collaborative perception aims for a holistic perceptive construction by leveraging
complementary information from nearby connected automated vehicle (CAV), thereby …

Collaborative perception empowers each agent to improve its perceptual ability through the
exchange of perceptual messages with other agents. It inherently results in a fundamental …

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

The rapid development of vehicle cooperative 3D object-detection technology has
significantly improved the perception capabilities of autonomous driving systems. However …

Cooperative perception is an effective way for connected autonomous vehicles (CAVs) to
surpass their sensing limitations, by sharing information like intermediate features extracted …

Multi-agent perception (MAP) allows autonomous systems to understand complex
environments by interpreting data from multiple sources. This paper investigates …