A query-driven digital twin for autonomous driving reduces planning position error by 24% and communication overhead by 40% using optimization and progressive querying.
Interaction-aware motion planning for autonomous vehicles with multi-modal obstacle uncertainty predic- tions,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Query-Driven Communication-Efficient Digital Twins Design for Autonomous Driving
A query-driven digital twin for autonomous driving reduces planning position error by 24% and communication overhead by 40% using optimization and progressive querying.