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title
description
Perceive with Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
image
site name
author
updated
2026-02-23 04:57:49
raw text
Perceive with Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception Perceive with Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception Anushri Dixit Zhiting Mei Meghan Booker Mariko Storey-Matsutani Allen Z. Ren Anirudha Majumdar Paper Code Abstract Rapid advances in perception have enabled large pre-trained models to be used out of the box for processing high-dimensional, noisy, and partial observations of the world into rich geometric representations (e.g., occupancy predictions). However, safe integration of these models onto robots remains challenging due to a lack of reliable performance in unfamiliar environments. In this work, we present a framework for rigorously quantifying the uncertainty of pre-trained perception models for occupancy prediction in order to provide end-to-end statistical safety assurances for navigation. We build on techniques from conformal ...
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2026-02-23 04:57:49
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