SLCF-Net: Sequential LiDAR-Camera Fusion for Semantic Scene Completion using a 3D Recurrent U-Net

[PDF] arxiv.org

DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models

H Cao, S Behnke - arXiv preprint arXiv:2409.18092, 2024 - arxiv.org
Perception systems play a crucial role in autonomous driving, incorporating multiple sensors
and corresponding computer vision algorithms. 3D LiDAR sensors are widely used to …
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[PDF] arxiv.org

Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion

L Liang, N Akhtar, J Vice, X Kong, AS Mian - arXiv preprint arXiv …, 2025 - arxiv.org
3D semantic scene completion is critical for multiple downstream tasks in autonomous
systems. It estimates missing geometric and semantic information in the acquired scene …
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Towards 3D Semantic Scene Completion for Autonomous Driving: A Meta-Learning Framework Empowered by Deformable Large-Kernel Attention and Mamba Model

Y Qu, Z Huang, Z Sheng, T Chen, S Chen - arXiv preprint arXiv …, 2024 - arxiv.org
Semantic scene completion (SSC) is essential for achieving comprehensive perception in
autonomous driving systems. However, existing SSC methods often overlook the high …
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MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and Motion

A Villar-Corrales, M Austermann, S Behnke - arXiv preprint arXiv …, 2024 - arxiv.org
Autonomous systems, such as self-driving cars, rely on reliable semantic environment
perception for decision making. Despite great advances in video semantic segmentation …
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