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Safeguarding Learning-Based Planners Under Motion and Sensing Uncertainties Using Reachability Analysis. Abstract: Learning-based trajectory planners in ...
Jun 2, 2023 · In this paper we present a recursive reachability analysis and use it to safeguard a learning-based planner under motion and sensing ...
Recent works have employed this approach to solve safe-motion control problems in learning-enabled environments to address learning errors [12], [13] . Our work ...
Safeguarding Learning-Based Planners Under Motion and Sensing Uncertainties Using Reachability Analysis ... sensing uncertainties: reachability analysis ...
Verifiable Perception and Navigation - Stanford NAV Lab
navlab.stanford.edu › research › verifiabl...
We aim to provide safe vehicle path-planning against sensing errors and uncertainties. We not only monitor sensing uncertainties, but also predict the ...
Safeguarding Learning-Based Planners Under Motion and Sensing Uncertainties Using Reachability Analysis ... Sensing Uncertainties Using Reachability Analysis.
TL;DR: In this paper , a reachability analysis is proposed to evaluate the safety of a learning-based trajectory planner along reference trajectories in the ...
A reachability analysis to predict state and state estimation uncertainties under stochastic and bounded uncertainties is improved by predicting state ...
Akshay Shetty, Adam Dai, Alexandros Tzikas and Grace Gao, Safeguarding Learning-Based Planners Under Motion and Sensing Uncertainties Using Reachability ...