Autonomous Vehicle

Scalable Crowd-Sourced Global HD Map Construction via Collaborative Map Perception and Sparse Graph Fusion

High-definition (HD) maps are vital for autonomous driving, providing fine-grained geometric and semantic information beyond the scope of onboard perception. However, automatically constructing accurate vectorized maps at scale using learning-based …

Boosting Collaborative Vehicular Perception on the Edge with Vehicle-to-Vehicle Communication

On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures

Collaborative perception, which greatly enhances the sensing capability of connected and autonomous vehicles (CAVs) by incorporating data from external resources, also brings forth potential security risks. CAVs' driving decisions rely on remote …

Robust Real-time Multi-vehicle Collaboration on Asynchronous Sensors

Cooperative perception significantly enhances the perception performance of connected autonomous vehicles. Instead of purely relying on local sensors with limited range, it enables multiple vehicles and roadside infrastructures to share sensor data …