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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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Bibliografiske detaljer
Principais autores: Oskar Natan, Jun Miura
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2025-01-01
Serier:IEEE Access
Fag:
Online adgang:https://ieeexplore.ieee.org/document/11313052/
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