A contingency planning method for autonomous vehicles that learns human vehicle uncertainties online and uses reachable set barriers for non-conservative safety.
Safe and real- time consistent planning for autonomous vehicles in partially observed environments via parallel consensus optimization
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers
A contingency planning method for autonomous vehicles that learns human vehicle uncertainties online and uses reachable set barriers for non-conservative safety.