Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks)
Automated vehicles' neural networks suffer from overfit, poor generalizability, and untrained edge cases due to limited data availability. Researchers synthesize randomized edge-case scenarios to assist in the training process, though simulation introduces potential for overfit to latent rules and features... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
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CARLA
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Video Game Models |