Vehicle-to-everything (V2X) autonomous driving opens up a promising direction for
developing a new generation of intelligent transportation systems. Collaborative perception …

Collaborative perception can substantially boost each agent's perception ability by
facilitating communication among multiple agents. However, temporal asynchrony among …

Collaborative perception aims to mitigate the limitations of single-agent perception, such as
occlusions, by facilitating data exchange among multiple agents. However, most current …

Semantic scene completion (SSC) is crucial for holistic 3D scene understanding by jointly
estimating semantics and geometry from sparse observations. However, progress in SSC …

As an important component of intelligent transportation systems, collaborative perception
has made great progress in recent years. In collaborative perception, multiple devices rely …

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 …

Cooperative perception can significantly improve the perception performance of
autonomous vehicles beyond the limited perception ability of individual vehicles by …

Visual place recognition (VPR) capabilities enable autonomous robots to navigate complex
environments by discovering the environment's topology based on visual input. Most …

Machine learning (ML) has revolutionized transportation systems, enabling autonomous
driving and smart traffic services. Federated learning (FL) overcomes privacy constraints by …

Large-scale datasets have fueled recent advancements in AI-based autonomous vehicle
research. However these datasets are usually collected from a single vehicle's one-time …