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A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges
This survey analyzes intermediate fusion methods in collaborative perception for autonomous driving, categorized by real-world challenges.
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception
To this end, we propose a novel computational taxonomy of LiDAR point cloud representations used in modern deep neural networks for 3D point cloud processing.
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