3D object detection for autonomous driving: A comprehensive survey
Autonomous driving, in recent years, has been receiving increasing attention for its potential
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
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 …
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 …
Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication
Employing Vehicle-to-Vehicle communication to enhance perception performance in self-
driving technology has attracted considerable attention recently; however, the absence of a …
driving technology has attracted considerable attention recently; however, the absence of a …
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 …
Learning distilled collaboration graph for multi-agent perception
To promote better performance-bandwidth trade-off for multi-agent perception, we propose a
novel distilled collaboration graph (DiscoGraph) to model trainable, pose-aware, and …
novel distilled collaboration graph (DiscoGraph) to model trainable, pose-aware, and …
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 …
Spatio-temporal domain awareness for multi-agent collaborative perception
Multi-agent collaborative perception as a potential application for vehicle-to-everything
communication could significantly improve the perception performance of autonomous …
communication could significantly improve the perception performance of autonomous …