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DeepIPCv2: LiDAR-Powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle

We propose DeepIPCv2, an end-to-end autonomous driving framework that integrates LiDAR-based environmental perception with command-specific control learning. Unlike prior camera-reliant models, DeepIPCv2 employs point cloud segmentation and multi-view projection (front and bird’s-eye views) t...

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Uloženo v:
Hlavní autoři: Oskar Natan, Jun Miura
Médium: Artigo
Jazyk:Inglês
Vydáno: IEEE 2025-01-01
Edice:IEEE Access
Témata:
LiDAR perception
end-to-end systems
behavior cloning
outdoor navigation
autonomous driving
On-line přístup:https://ieeexplore.ieee.org/document/11313052/
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