Name
Title | ||
|---|---|---|
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles |
Abstract | ||
|---|---|---|
Commonly used metrics for evaluation of object detection systems (precision, recall, mAP) do not give complete information about their suitability of use in safety critical tasks, like obstacle detection for collision avoidance in Autonomous Vehicles (AV). This work introduces the Risk Ranked Recall ($R^3$) metrics for object detection systems. The $R^3$ metrics categorize objects within three ran... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MECO52532.2021.9460196 | 2021 10th Mediterranean Conference on Embedded Computing (MECO) |
Keywords | DocType | ISBN |
Measurement,Embedded computing,Computational modeling,Object detection,Safety,Task analysis,Collision avoidance | Conference | 978-1-6654-3912-1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ayoosh Bansal | 1 | 0 | 0.34 |
| Jayati Singh | 2 | 0 | 0.68 |
| Micaela Verucchi | 3 | 2 | 1.40 |
| Marco Caccamo | 4 | 425 | 31.84 |
| L. Sha | 5 | 7376 | 1006.47 |