Federated vehicular transformers and their federations: Privacy-preserving computing and cooperation for autonomous driving
Cooperative computing is promising to enhance the performance and safety of autonomous
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
Collaborative perception in autonomous driving: Methods, datasets, and challenges
Collaborative perception is essential to address occlusion and sensor failure issues in
autonomous driving. In recent years, theoretical and experimental investigations of novel …
autonomous driving. In recent years, theoretical and experimental investigations of novel …
V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception
Modern perception systems of autonomous vehicles are known to be sensitive to occlusions
and lack the capability of long perceiving range. It has been one of the key bottlenecks that …
and lack the capability of long perceiving range. It has been one of the key bottlenecks that …
An automated driving systems data acquisition and analytics platform
In this paper, an automated driving system (ADS) data acquisition and analytics platform for
vehicle trajectory extraction, reconstruction, and evaluation based on connected automated …
vehicle trajectory extraction, reconstruction, and evaluation based on connected automated …
V2x-vit: Vehicle-to-everything cooperative perception with vision transformer
In this paper, we investigate the application of Vehicle-to-Everything (V2X) communication to
improve the perception performance of autonomous vehicles. We present a robust …
improve the perception performance of autonomous vehicles. We present a robust …
Where2comm: Communication-efficient collaborative perception via spatial confidence maps
Multi-agent collaborative perception could significantly upgrade the perception performance
by enabling agents to share complementary information with each other through …
by enabling agents to share complementary information with each other through …
HYDRO-3D: Hybrid object detection and tracking for cooperative perception using 3D LiDAR
3D-LiDAR-based cooperative perception has been generating significant interest for its
ability to tackle challenges such as occlusion, sparse point clouds, and out-of-range issues …
ability to tackle challenges such as occlusion, sparse point clouds, and out-of-range issues …
Cobevt: Cooperative bird's eye view semantic segmentation with sparse transformers
Bird's eye view (BEV) semantic segmentation plays a crucial role in spatial sensing for
autonomous driving. Although recent literature has made significant progress on BEV map …
autonomous driving. Although recent literature has made significant progress on BEV map …
V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting
Utilizing infrastructure and vehicle-side information to track and forecast the behaviors of
surrounding traffic participants can significantly improve decision-making and safety in …
surrounding traffic participants can significantly improve decision-making and safety in …
V2X-Sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving
Vehicle-to-everything (V2X) communication techniques enable the collaboration between
vehicles and many other entities in the neighboring environment, which could fundamentally …
vehicles and many other entities in the neighboring environment, which could fundamentally …