End-to-end multi-task regression learns flight commands for UAVs to explore unstructured forest environments from vision alone, outperforming pose-estimation baselines in simulation.
Veritatem dies aperit- temporally consistent depth prediction enabled by a multi-task geometric and semantic scene understanding approach
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Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
End-to-end multi-task regression learns flight commands for UAVs to explore unstructured forest environments from vision alone, outperforming pose-estimation baselines in simulation.