Research map / 3D vision / 3D generation
Argoverse: 3D Tracking and Forecasting With Rich Maps
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use map-based ground removal instead of plane-fitting (ablation) | Baseline tracker · Argoverse 3D Tracking test, 50 m | MOTA: 49.3 -> 50.0 | Helped |
| use map-based ground removal instead of plane-fitting (ablation) | Baseline tracker · Argoverse 3D Tracking test, 100 m | MOTP-I: 0.28 -> 0.25 | Helped |
| use map-based ground removal instead of plane-fitting (ablation) | Baseline tracker · Argoverse 3D Tracking test, 30 m | MOTP-O: 13.7 -> 15.3 | Hurt |
| add lane-direction orientation initialization (ablation) | Baseline tracker · Argoverse 3D Tracking test, 100 m | MOTP-O: 27.7 -> 13.3 | Helped |
| add social features to LSTM inputs (ablation) | LSTM · Argoverse Forecasting, K=1 | minADE: 2.15 -> 2.15 | No clear effect |
| add social features to LSTM inputs (ablation) | LSTM · Argoverse Forecasting, K=1 | minFDE: 4.97 -> 4.95 | No clear effect |
| prune nearest-neighbor predictions that leave the drivable area | NN · Argoverse Forecasting, K=6 | minFDE: 3.29 -> 3.19 | Helped |
| use driveable-area pruning | NN · Argoverse Forecasting, K=6 | DAC: 0.87 -> 0.94 | Helped |
| use lane-centerline coordinates and map prior | NN · Argoverse Forecasting, K=1 | minFDE: 7.88 -> 8.12 | Hurt |
| use lane-centerline coordinates and map prior | NN · Argoverse Forecasting, K=6 | DAC: 0.87 -> 0.96 | Helped |
| allow multiple predictions along each centerline rather than one (ablation) | NN+map(prior) · Argoverse Forecasting, K=6 | minFDE: 5.32 -> 4.02 | Helped |
| use an LSTM instead of nearest-neighbor regression with map prior | Map-prior forecasting · Argoverse Forecasting, K=6 | minFDE: 5.32 -> 4.19 | Helped |
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- The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset (NeurIPS 2026 · similarity 0.87)
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