Coopernaut: End-to-end driving with cooperative perception for networked vehicles
Optical sensors and learning algorithms for autonomous vehicles have dramatically
advanced in the past few years. Nonetheless, the reliability of today's autonomous vehicles …
advanced in the past few years. Nonetheless, the reliability of today's autonomous vehicles …
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 …
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 …
Autocast: Scalable infrastructure-less cooperative perception for distributed collaborative driving
Autonomous vehicles use 3D sensors for perception. Cooperative perception enables
vehicles to share sensor readings with each other to improve safety. Prior work in …
vehicles to share sensor readings with each other to improve safety. Prior work in …
Adaptive feature fusion for cooperative perception using lidar point clouds
D Qiao, F Zulkernine - Proceedings of the IEEE/CVF winter …, 2023 - openaccess.thecvf.com
Cooperative perception allows a Connected Autonomous Vehicle (CAV) to interact with the
other CAVs in the vicinity to enhance perception of surrounding objects to increase safety …
other CAVs in the vicinity to enhance perception of surrounding objects to increase safety …
Multi-modal fusion transformer for end-to-end autonomous driving
How should representations from complementary sensors be integrated for autonomous
driving? Geometry-based sensor fusion has shown great promise for perception tasks such …
driving? Geometry-based sensor fusion has shown great promise for perception tasks such …
V2vnet: Vehicle-to-vehicle communication for joint perception and prediction
In this paper, we explore the use of vehicle-to-vehicle (V2V) communication to improve the
perception and motion forecasting performance of self-driving vehicles. By intelligently …
perception and motion forecasting performance of self-driving vehicles. By intelligently …
Edgecooper: Network-aware cooperative lidar perception for enhanced vehicular awareness
Autonomous driving vehicle (ADV) that is ready to transform our society and economy, is in
desperate need of precise positioning over itself as well as surrounding environments …
desperate need of precise positioning over itself as well as surrounding environments …
Machine-learning-enabled cooperative perception for connected autonomous vehicles: Challenges and opportunities
Connected and autonomous vehicles is a disruptive technology that has the potential to
transform the current transportation system by reducing traffic accidents and enhancing …
transform the current transportation system by reducing traffic accidents and enhancing …
Cooperative perception with deep reinforcement learning for connected vehicles
Sensor-based perception on vehicles are becoming prevalent and important to enhance
road safety. Autonomous driving systems use cameras, LiDAR and radar to detect …
road safety. Autonomous driving systems use cameras, LiDAR and radar to detect …