Combining Camera–LiDAR Fusion and Motion Planning Using Bird’s-Eye View Representation for End-to-End Autonomous Driving

Combining Camera–LiDAR Fusion and Motion Planning Using Bird’s-Eye View Representation for End-to-End Autonomous Driving

End-to-end autonomous driving has become a key research focus in autonomous vehicles. However, existing methods struggle with effectively fusing heterogeneous sensor inputs and converting dense perceptual features into sparse motion representations. To address these challenges, we propose BevDrive,...

Full description

Saved in:
Bibliographic Details
Main Authors: Ze Yu, Jun Li, Yuzhen Wei, Yuandong Lyu, Xiaojun Tan
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Drones
Subjects:
deep learning
autonomous driving
end-to-end autonomous driving
sensor fusion
motion planning
Online Access:https://www.mdpi.com/2504-446X/9/4/281
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2504-446X/9/4/281

Similar Items