MORPH-U integrates V2X data into autonomous vehicle planning with Hybrid-A* replanning, multi-objective Pareto optimization, and a Byzantine-inspired gate to improve safety against message delays, drops, and forgery in CARLA simulations.
Hd map generation from noisy multi-route vehicle fleet data on highways with expectation maximization
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation
MORPH-U integrates V2X data into autonomous vehicle planning with Hybrid-A* replanning, multi-objective Pareto optimization, and a Byzantine-inspired gate to improve safety against message delays, drops, and forgery in CARLA simulations.