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Gobinda Chandra Sarker published this dataset on figshare in April 2026. It contains simulation results for a novel vision-based Unmanned Aerial Vehicle (UAV) navigation system that integrates depthmap estimation with a Vision-Language Model for obstacle avoidance and path planning. The system was validated in AirSim using Blocks and the Downtown West environment, achieving a reported task completion rate of 0.98.
Data is in XLS format; appropriate software is required to open it.