Collection of Papers in Trajectory Prediction categorised according to the high-level structure
Collection of papers in trajectory forecasting categorised according to the high-level structure
The literature survey is categorized as:
Comparison of popular human trajectory forecasting papers based on the datasets on which the methods have been evaluated.
Method | ETH/UCY | SDD | TrajNet++ | Multipath |
---|---|---|---|---|
S-LSTM | ✓ | |||
DESIRE | ✓ | |||
S-GAN | ✓ | |||
Sophie | ✓ | ✓ | ||
Trajectron | ✓ | |||
Social-BiGAT | ✓ | |||
Social-STGCNN | ✓ | |||
Multiverse | ✓ | |||
PECNet | ✓ | ✓ | ✓ | |
D-LSTM | ✓ | |||
Social-NCE | ✓ |
Evaluation on TrajNet++ is preferred in comparison to ETH/UCY as the test set and the evaluation protocol for TrajNet++ is fixed (and extensive!). More details here. The variation in ADE/FDE greatly reduces among different methods when evaluated on equal grounds on TrajNet++ (leaderboard) in comparison to the numbers reported on ETH/UCY.
If you are new to trajectory forecasting, do check out the TrajNet++ framework! TrajNet++ is a code-base with specific focus on human trajectory forecasting, and having more than 10 trajectory forecastng baselines already implemented.