Gaussian and related cropping strategies for point cloud subclouds improve 3D neural network performance over spherical cropping on large outdoor scenes.
Scalability in perception for autonomous driving: Waymo open dataset
3 Pith papers cite this work. Polarity classification is still indexing.
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A framework trains and compares MLP, transformer, and GAIL-based trajectory models on real driving data, finding that architectural differences cause large variations in robustness to PGD attacks despite similar nominal accuracy.
Introduces structured NuScenes-S dataset and 0.9B FastDrive VLM claiming 20% higher decision accuracy and over 10x inference speedup versus larger unstructured VLMs.
citing papers explorer
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From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments
Gaussian and related cropping strategies for point cloud subclouds improve 3D neural network performance over spherical cropping on large outdoor scenes.
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Real-Time Evaluation of Autonomous Systems under Adversarial Attacks
A framework trains and compares MLP, transformer, and GAIL-based trajectory models on real driving data, finding that architectural differences cause large variations in robustness to PGD attacks despite similar nominal accuracy.
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Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving
Introduces structured NuScenes-S dataset and 0.9B FastDrive VLM claiming 20% higher decision accuracy and over 10x inference speedup versus larger unstructured VLMs.