Predictive neural motion planner for autonomous driving using graph networks
Recent advances in digital twin and parallel intelligence (DTPI) enable the mapping of the physical world to a high-fidelity virtual representation and facilitate intelligent prediction and decision-making for autonomous vehicles and intelligent transportation systems. In the context of DTPI, in thi...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/178356 |