UAV-ON is a new benchmark of 14 Unreal Engine environments with 1270 annotated objects that tests whether aerial agents can navigate to goals described by semantic instance-level instructions.
Object goal navigation using goal-oriented semantic exploration
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
-
UAV-ON: A Benchmark for Open-World Object Goal Navigation with Aerial Agents
UAV-ON is a new benchmark of 14 Unreal Engine environments with 1270 annotated objects that tests whether aerial agents can navigate to goals described by semantic instance-level instructions.