2020
DOI: 10.48550/arxiv.2001.01816
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The Pedestrian Patterns Dataset

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“…Finally, when the autonomous vehicle selected the least risky time, the prediction accuracy was 72%. In our previous work [19], where we applied the same procedure to our real-world dataset (the Pedestrian Pattern datase [23]), the prediction accuracy was only 19%. This previous prediction accuracy reflected the fact that there was not a great risk reduction advantage over the range of times the data was collected at 8:45-17:45.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, when the autonomous vehicle selected the least risky time, the prediction accuracy was 72%. In our previous work [19], where we applied the same procedure to our real-world dataset (the Pedestrian Pattern datase [23]), the prediction accuracy was only 19%. This previous prediction accuracy reflected the fact that there was not a great risk reduction advantage over the range of times the data was collected at 8:45-17:45.…”
Section: Methodsmentioning
confidence: 99%