Representation Learning for Vision-Based Autonomous Driving via Probabilistic World Modeling
Representation learning plays a vital role in autonomous driving by extracting meaningful features from raw sensory inputs. World models emerge as an effective approach to representation learning by capturing predictive features that can anticipate multiple possible futures, which is particularly su...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/13/3/231 |
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