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Enhancing Autonomous Driving through Dual-Process Learning with Behavior and Reflection Integration

2025-03-18

Abstract excerpt

<title>Abstract</title> <p>Contemporary autonomous driving (AD) methodologies, which predominantly convert visual features into control directives, face long-tail challenges due to constraints imposed by limited data distribution. Conversely, human drivers exhibit proficiency in such conditions, underscoring the significance of emulating human cognition in AD systems. Therefore, we introduce Dual-Process Learning...

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Literature Corpus work
b4c832ad-901e-5ffe-b727-45d2cdf1e1bb
DOI
10.21203/rs.3.rs-6223799/v1
Open publication

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Enhancing Autonomous Driving through Dual-Process Learning with Behavior and Reflection IntegrationDOI 10.21203/rs.3.rs-6223799/v1
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