Abstract
With the gradual popularization of automobiles, it has become a very important means of transportation for people, bringing a lot of convenience to people’s travel. In the field of driving, with the development of intelligent communication technology, intelligent driving vehicles “drive into” people’s field of vision. In contemporary society, intelligence is integrated into all aspects of life and is more and more inseparable from intelligence. In order to research multi-vehicle coordination-enhanced intelligent driving framework based on human–machine hybrid intelligence, from the perspective of human–machine hybrid intelligence, this paper takes multi-vehicle coordination as the starting point, introduces the fish swarm effect and builds a multi-vehicle coordinated, intelligent driving system with strong self-adaptability and scalability, so that it can adapt to more complex and real road environments.
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Data Availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
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Acknowledgements
This work was partially supported by the National Foundation of Science of China No. 61562028, and the key project of the Province Foundation of Jiang Xi, No. 20202ACBL202009.
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Yuan, Z., Li, L. Analyze on multi-vehicle coordination-enhanced intelligent driving framework based on human–machine hybrid intelligence. Soft Comput 27, 10851–10862 (2023). https://doi.org/10.1007/s00500-023-07837-2
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DOI: https://doi.org/10.1007/s00500-023-07837-2