UCL Survey Highlights Deep Learning Advances in LiDAR Super-Resolution for Autonomous Vehicles

The University College London research team has released the first systematic review of deep‑learning‑based LiDAR super‑resolution techniques for autonomous driving. The survey categorises existing methods into four families – convolutional neural network (CNN) architectures, model‑based deep‑unrolling, implicit‑representation frameworks, and emerging Transformer/Mamba models – and details their d

Sector: Real Infrastructure | Confidence: 91%
Source: https://semiengineering.com/survey-of-dl-based-lidar-super-resolution-for-autonomous-driving-university-college-london/

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