# Pedestrian Trajectory Prediction on Pedestrian Trajectory Prediction

Source: [Pedestrian Trajectory Prediction on Pedestrian Trajectory Prediction](<https://www.sota2.com/research/sota/pedestrian-trajectory-prediction-on-pedestrian-trajectory-prediction>)

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

Data updated: 2026-02-26T05:48:26.476Z

Evaluation of model efficiency, specifically parameter count and inference time, for pedestrian trajectory prediction tasks.

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 | Pedestrian Trajectory Prediction |
| Dataset (including any stated split) | Pedestrian Trajectory Prediction |
| Metric | Latency |
| Unit | TIME |
| Direction | Lower is better |
| Results loaded | 5 of 5 |
| 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

- [Latency](<https://www.sota2.com/research/sota/pedestrian-trajectory-prediction-on-pedestrian-trajectory-prediction.md?metric=Latency>): Lower is better; unit: TIME.

- [Params (K)](<https://www.sota2.com/research/sota/pedestrian-trajectory-prediction-on-pedestrian-trajectory-prediction.md?metric=Params%20(K)>): Lower is better; unit: SIZE.

## Recorded results

| Method | Latency | Result date | Report paper |
| --- | --- | --- | --- |
| Social-STGCNN | 0.002 | Not recorded | 68fa67cb1e209131cea1871b |
| S-GAN-P | 0.0968 | Not recorded | 68fa67cb1e209131cea1871b |
| PIF | 0.1145 | Not recorded | 68fa67cb1e209131cea1871b |
| SR-LSTM-2 | 0.1578 | Not recorded | 68fa67cb1e209131cea1871b |
| S-LSTM | 1.1789 | Not recorded | 68fa67cb1e209131cea1871b |

### Social-STGCNN

Latency: 0.002. Result ID: 698d45998b517eb43320422f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67cb1e209131cea1871b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67cb1e209131cea1871b.md>)

[Implementation](<https://github.com/abduallahmohamed/Social-STGCNN>)

Recorded evaluation configuration: {"Hardware":"Nvidia GTX 1080Ti GPU"}. This record does not assert independent reproduction.

### S-GAN-P

Latency: 0.0968. Result ID: 698d45998b517eb43320422d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67cb1e209131cea1871b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64301e209131cea034f1.md>)

Recorded evaluation configuration: {"Hardware":"Nvidia GTX 1080Ti GPU"}. This record does not assert independent reproduction.

### PIF

Latency: 0.1145. Result ID: 698d45998b517eb43320422e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67cb1e209131cea1871b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65d51e209131cea0c897.md>)

[Implementation](<https://next.cs.cmu.edu/>)

Recorded evaluation configuration: {"Hardware":"Nvidia GTX 1080Ti GPU"}. This record does not assert independent reproduction.

### SR-LSTM-2

Latency: 0.1578. Result ID: 698d45998b517eb43320422c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67cb1e209131cea1871b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa656b1e209131cea0a41a.md>)

Recorded evaluation configuration: {"Hardware":"Nvidia GTX 1080Ti GPU"}. This record does not assert independent reproduction.

### S-LSTM

Latency: 1.1789. Result ID: 698d45998b517eb43320422b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67cb1e209131cea1871b.md>)

Recorded evaluation configuration: {"Hardware":"Nvidia GTX 1080Ti GPU"}. This record does not assert independent reproduction.

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