# Object Detection Tracking Evaluation on nuScenes (val)

Source: [Object Detection Tracking Evaluation on nuScenes (val)](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-31T10:43:34.858Z

Evaluation of object detection results on the nuScenes validation set, focusing specifically on tracking performance metrics, including false positive/negative counts, critical event tracking errors, and effort-based metrics for tracking consistency.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Object Detection |
| Dataset (including any stated split) | nuScenes (val) |
| Metric | FN Count |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 6 of 6 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [FN Count](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=FN%20Count>): Lower is better; unit: SCALAR.

- [FP Count](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=FP%20Count>): Lower is better; unit: SCALAR.

- [Critical FN Count](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=Critical%20FN%20Count>): Lower is better; unit: SCALAR.

- [Critical FP Count](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=Critical%20FP%20Count>): Lower is better; unit: SCALAR.

- [TC](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=TC>): Lower is better; unit: SCALAR.

- [Mean Effort MDR](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=Mean%20Effort%20MDR>): Lower is better; unit: SCALAR.

- [Mean Effort FSR](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=Mean%20Effort%20FSR>): Lower is better; unit: SCALAR.

- [Mean Effort LEA](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=Mean%20Effort%20LEA>): Lower is better; unit: SCALAR.

- [Cumulative Effort MDR](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=Cumulative%20Effort%20MDR>): Lower is better; unit: SCALAR.

- [Cumulative Effort FSR](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=Cumulative%20Effort%20FSR>): Lower is better; unit: SCALAR.

- [Cumulative Effort LEA](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=Cumulative%20Effort%20LEA>): Lower is better; unit: SCALAR.

- [Worst Event MDR](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=Worst%20Event%20MDR>): Lower is better; unit: SCALAR.

- [Worst Event FSR](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=Worst%20Event%20FSR>): Lower is better; unit: SCALAR.

- [Worst Event LEA](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=Worst%20Event%20LEA>): Lower is better; unit: SCALAR.

- [Precision (Prec.)](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=Precision%20(Prec.)>): Higher is better; unit: PERCENT.

- [Recall (Rec.)](<https://www.sota2.com/research/sota/object-detection-tracking-evaluation-on-nuscenes-val.md?metric=Recall%20(Rec.)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | FN Count | Result date | Report paper |
| --- | --- | --- | --- |
| AB3DMOT | 644 | Not recorded | 69cb553b0636e5bf4afca0f9 |
| CenterPoint | 654 | Not recorded | 69cb553b0636e5bf4afca0f9 |
| BEVFusion | 687 | Not recorded | 69cb553b0636e5bf4afca0f9 |
| AB3DMOT | 3252 | Not recorded | 69cb553b0636e5bf4afca0f9 |
| CenterPoint | 3554 | Not recorded | 69cb553b0636e5bf4afca0f9 |
| BEVFusion | 3865 | Not recorded | 69cb553b0636e5bf4afca0f9 |

### AB3DMOT

FN Count: 644. Result ID: 69cba54347f34ce924b4a7b8.

[Reporting paper](<https://www.sota2.com/research/paper/69cb553b0636e5bf4afca0f9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68091e209131cea19b42.md>)

[Implementation](<https://github.com/xinshuoweng/AB3DMOT>)

Recorded evaluation configuration: {"Pipeline":"AB3DMOT","Modality":"LiDAR","Class":"Truck"}. This record does not assert independent reproduction.

### CenterPoint

FN Count: 654. Result ID: 69cba54347f34ce924b4a7ba.

[Reporting paper](<https://www.sota2.com/research/paper/69cb553b0636e5bf4afca0f9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6af91e209131cea2b72c.md>)

[Implementation](<https://github.com/tianweiy/CenterPoint>)

Recorded evaluation configuration: {"Pipeline":"CenterPoint","Modality":"LiDAR","Class":"Truck"}. This record does not assert independent reproduction.

### BEVFusion

FN Count: 687. Result ID: 69cba54347f34ce924b4a7bc.

[Reporting paper](<https://www.sota2.com/research/paper/69cb553b0636e5bf4afca0f9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74b01e209131cea63405.md>)

[Implementation](<https://github.com/mit-han-lab/bevfusion>)

Recorded evaluation configuration: {"Pipeline":"BEVFusion","Modality":"LiDAR + Camera","Class":"Truck"}. This record does not assert independent reproduction.

### AB3DMOT

FN Count: 3252. Result ID: 69cba54347f34ce924b4a7b7.

[Reporting paper](<https://www.sota2.com/research/paper/69cb553b0636e5bf4afca0f9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68091e209131cea19b42.md>)

[Implementation](<https://github.com/xinshuoweng/AB3DMOT>)

Recorded evaluation configuration: {"Pipeline":"AB3DMOT","Modality":"LiDAR","Class":"Car"}. This record does not assert independent reproduction.

### CenterPoint

FN Count: 3554. Result ID: 69cba54347f34ce924b4a7b9.

[Reporting paper](<https://www.sota2.com/research/paper/69cb553b0636e5bf4afca0f9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6af91e209131cea2b72c.md>)

[Implementation](<https://github.com/tianweiy/CenterPoint>)

Recorded evaluation configuration: {"Pipeline":"CenterPoint","Modality":"LiDAR","Class":"Car"}. This record does not assert independent reproduction.

### BEVFusion

FN Count: 3865. Result ID: 69cba54347f34ce924b4a7bb.

[Reporting paper](<https://www.sota2.com/research/paper/69cb553b0636e5bf4afca0f9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74b01e209131cea63405.md>)

[Implementation](<https://github.com/mit-han-lab/bevfusion>)

Recorded evaluation configuration: {"Pipeline":"BEVFusion","Modality":"LiDAR + Camera","Class":"Car"}. This record does not assert independent reproduction.

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