Research map / 3D vision / 3D generation
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Increase training data from 10% to 100% | PointPillars vehicle detector · Waymo Open Dataset validation, LEVEL_2 | AP: 29.7 -> 49.8 | Helped |
| Increase training data from 10% to 100% | PointPillars pedestrian detector · Waymo Open Dataset validation, LEVEL_2 | AP: 39.5 -> 53.0 | Helped |
| Increase training data from 10% to 100% | PointPillars vehicle detector · Waymo Open Dataset validation, LEVEL_2 | APH: 28.9 -> 49.4 | Helped |
| Increase training data from 10% to 100% | PointPillars pedestrian detector · Waymo Open Dataset validation, LEVEL_2 | APH: 27.7 -> 43.0 | Helped |
| Train in SF rather than SUB | PointPillars vehicle detector · Waymo Open Dataset validation, SUB | APH: 44.0 -> 36.7 | Hurt |
| Train in SUB rather than SF | PointPillars vehicle detector · Waymo Open Dataset validation, SF | APH: 49.2 -> 42.5 | Hurt |
| Train on ALL rather than only SF | PointPillars pedestrian detector · Waymo Open Dataset validation, SF | APH: 47.6 -> 46.0 | Hurt |
| Train on ALL rather than only SF | PointPillars pedestrian detector · Waymo Open Dataset validation, SUB | APH: 20.6 -> 25.7 | Helped |
| Train on SUB rather than SF | PointPillars pedestrian detector · Waymo Open Dataset validation, SF | APH: 47.6 -> 29.7 | Hurt |
Closest papers by meaning
- The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset (NeurIPS 2026 · similarity 0.90)
- Autonomous Driving Research Requires a Community-Driven Data Paradigm (NeurIPS 2026 · similarity 0.89)
- Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset (CVPR 2024 · similarity 0.87)
- OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection (NeurIPS 2025 · similarity 0.87)
- SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving (AAAI 2024 · similarity 0.87)
- SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control (AAAI 2025 · similarity 0.87)
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