Multi-sensor Fusion for Autonomous Driving
Although sensor fusion is an essential prerequisite for autonomous driving, it entails a number of challenges and potential risks. For example, the commonly used deep fusion networks are lacking in interpretability and robustness. To address these fundamental issues, this book introduces the mechani...
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| Autors principals: | , , , , , , |
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| Autor corporatiu: | |
| Format: | Electrònic eBook |
| Idioma: | anglès |
| Publicat: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| Edició: | 1st ed. 2023. |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/978-981-99-3280-1 |
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Taula de continguts:
- Part I: Basic
- Chapter 1. Introduction
- Chapter 2. Overview of Data Fusion in Autonomous Driving Perception
- Part II: Method
- Chapter 3. Multi-sensor Calibration
- Chapter 4. Multi-sensor Object Detection
- Chapter 5. Multi-sensor Scene Segmentation
- Chapter 6. Multi-sensor Fusion Localization
- Part III: Advance
- Chapter 7. OpenMPD: An Open Multimodal Perception Dataset
- Chapter 8. Vehicle-Road Multi-view Interactive Data Fusion
- Chapter 9. Information Quality in Data Fusion
- Chapter 10. Conclusions.