RoIFusion: 3D Object Detection From LiDAR and Vision

RoIFusion: 3D Object Detection From LiDAR and Vision

When localizing and detecting 3D objects for autonomous driving scenes, obtaining information from multiple sensors (e.g., camera, LIDAR) is capable of mutually offering useful complementary information to enhance the robustness of 3D detectors. In this paper, a deep neural network architecture, nam...

Full description

Bibliographic Details
Main Authors: Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Sensors fusion
3D object detection
Region of Interests
neural network
segmentation network
point cloud
Online Access:https://ieeexplore.ieee.org/document/9393330/

Internet

https://ieeexplore.ieee.org/document/9393330/

Similar Items