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Transformer speeds up full-waveform LiDAR for autonomous driving
What is Towards Real-Time Full-Waveform LiDAR Transformers via Intensity-Guided Token Reduction and Physics-Aware Augmentation?
The authors present a transformer that processes full-waveform LiDAR histograms in real time by dropping low-importance returns using intensity cues and adding physics-based augmentations. This lets perception systems work in fog, rain or on low-reflectivity surfaces without added latency.
Who it is for
Robotics and self-driving teams can adopt the model to boost perception robustness in adverse conditions while keeping inference fast.
How to try it
Open the paper page on Hugging Face (https://huggingface.co/papers/2611.07613) to download code and pretrained weights.