# Human trajectory prediction and generation using LSTM models and GANs

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/human-trajectory-prediction-and-generation-using-lstm-models-and-gans/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Luca Rossi,Marina Paolanti,Roberto Pierdicca,Emanuele Frontoni |
| Citations | 81 |
| DOI | 10.1016/j.patcog.2021.108136 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/8248611 |
| OpenAlex ID | https://openalex.org/W3180212133 |
| PMID | 34197526 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Roberto Pierdicca](https://scholariq.org/researchers/roberto-pierdicca/)
- [Marina Paolanti](https://scholariq.org/researchers/marina-paolanti/)

## Paper primary topic

- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)

## Paper topics

- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Traffic and Road Safety](https://scholariq.org/topics/traffic-and-road-safety/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.