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Figures of Decision-Level Sensor Fusion on the CAN Bus for Autonomous Vehicles: A Standardized Evaluation of Seven Methods

Erland, Egie

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0.0 48.5 50.0 32.5 16.0 48.0 2.5 34.0 35.0 45.0 44.5 44.5 47.5 82.0 86.0 94.0 50.0 78.0 34.0 95.0 90.5 91.5 97.5 102.0 89.0 84.5 82.5 80.0 98.0 95.0 92.0 91.5 87.0 182.5 98.0 93.5 94.5 14.5 65.5 53.0 60.0 100.5 99.5 105.5 96.5 8.5 42.5 7.5 32.5 31.0 31.5 32.0 33.5 4.5 34.0 16.0 41.5 34.5 36.0 42.0 29.5 32.0 52.0 31.0 56.5 49.5 53.5 51.0 59.0 39.0 58.5 38.0 70.0 66.5 73.0 70.5 78.5 56.0 97.5 56.5 62.5 70.0 60.5 60.0 199.0 77.5 73.0 60.5 72.0 102.0 53.0 159.0 57.5 64.5 64.0 70.0 67.0 132.5 165.0 96.5 68.5 78.0 75.0 80.5 84.5 Rule Based - Bayesian - Dempster-Shafer - XGBoost - SmallMLP - Sequence - SmHybrid - Near-Miss Rate (NMR) by Model and Scenario Scenario/Class Model Source(s): Authors’ own creation Figure 14. NMR comparison across all scenarios