Dimensions overall score 9.0

• SafeLand achieves a success rate of 95% in autonomous landing tests.result 95%
• SafeLand's semantic segmentation model achieves 70.22% mIoU across 20 classes.technical 95%
• SafeLand demonstrates zero false negatives for human detection in field tests.result 90%
• SafeLand achieves sub-second response latency, substantially lower than previous methods.technical 90%
• SafeLand operates with only a camera and lightweight height sensor, requiring no prior maps or heavy sensors like LiDAR.method 95%
• The system was evaluated in 200 simulations and 60 end-to-end field tests across industrial, urban, and rural environments at altitudes up to 100m.result 95%
• SafeLand uses Bayesian probabilistic filtering with temporal semantic decay to robustly identify metric-scale landing spots.method 90%
• Existing methods often fail to handle non-cooperative dynamic obstacles like humans, limiting generalization and real-time performance.limitation 85%

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