May 13, 2019 · We are the first to conduct a study on raw-data level cooperative perception for enhancing the detection ability of self-driving systems.

In this work, relying on LiDAR 3D point clouds, we fuse the sensor data collected from different positions and angles of connected vehicles. A point cloud based ...

Abstract—Autonomous vehicles may make wrong decisions due to inaccurate detection and recognition. Therefore, an intelligent vehicle can combine its own ...

In this work, relying on LiDAR 3D point clouds, we fuse the sensor data collected from different positions and angles of connected vehicles. A point cloud based ...

This work is the first to conduct a study on raw-data level cooperative perception for enhancing the detection ability of self-driving systems and ...

Abstract—Autonomous vehicles may make wrong decisions due to inaccurate detection and recognition. Therefore, an intelligent vehicle can combine its own ...

In this work, relying on LiDAR 3D point clouds, we fuse the sensor data collected from different positions and angles of connected vehicles.

We propose a point cloud feature based cooperative perception framework (F-Cooper) for connected autonomous vehicles to achieve a better object detection ...

Sep 13, 2019 · We propose a point cloud feature based cooperative perception framework (F-Cooper) for connected autonomous vehicles to achieve a better object detection ...

Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds (ICDCS 19). F-Cooper: Feature based Cooperative Perception for ...