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...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 11 vom: 01. Nov., Seite 12878-12895
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| Auteur principal: |
Chitta, Kashyap
(Auteur) |
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| Autres auteurs: |
Prakash, Aditya,
Jaeger, Bernhard,
Yu, Zehao,
Renz, Katrin,
Geiger, Andreas |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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