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Found 3 papers, 1 papers with code
Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving
With the rise of large foundation models, multimodal inputs offer the possibility of taking human language as a latent representation, thus enabling language-defined OOD detection.
Zero-shot Safety Prediction for Autonomous Robots with Foundation World Models
A world model creates a surrogate world to train a controller and predict safety violations by learning the internal dynamic model of systems.
How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy
End-to-end learning has emerged as a major paradigm for developing autonomous systems.
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