TransFuser : Imitation With Transformer-Based Sensor Fusion for Autonomous Driving
How should we integrate representations from complementary sensors for autonomous driving? Geometry-based fusion has shown promise for perception (e.g., object detection, motion forecasting). However, in the context of end-to-end driving, we find that imitation learning based on existing sensor fusi...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 11 vom: 19. Nov., Seite 12878-12895
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| 1. Verfasser: |
Chitta, Kashyap
(VerfasserIn) |
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| Weitere Verfasser: |
Prakash, Aditya,
Jaeger, Bernhard,
Yu, Zehao,
Renz, Katrin,
Geiger, Andreas |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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