In autonomous driving, LiDAR and radar are crucial for environmental perception. LiDAR
offers precise 3D spatial sensing information but struggles in adverse weather like fog …

Autonomous driving has rapidly developed and shown promising performance with recent
advances in hardware and deep learning methods. High-quality datasets are fundamental …

Autonomous driving has rapidly developed and shown promising performance due to recent
advances in hardware and deep learning techniques. High-quality datasets are fundamental …

Cooperative perception is a promising technique for intelligent and connected vehicles
through vehicle-to-everything (V2X) cooperation, provided that accurate pose information …

Recently, visual grounding and multi-sensors setting have been incorporated into
perception system for terrestrial autonomous driving systems and Unmanned Surface …

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

This paper provides an in-depth review and discussion of the state of the art in redundancy
mitigation for the vehicular Collective Perception Service (CPS). We focus on the …

With the increasing popularity of autonomous driving systems and their applications in
complex transportation scenarios, collaborative perception among multiple intelligent agents …

Connectivity is a main driver for the ongoing megatrend of automated mobility: future
Cooperative Intelligent Transport Systems (C-ITS) will connect road vehicles, traffic signals …

This paper explores the potentialities of deploying vehicular Cooperative Positioning (CP)
systems in urban scenarios utilizing real-world data collected via experimental campaigns …