Abstract
With the rapid development of deep learning, artificial intelligence (AI) has been widely used in many fields and gradually replaced a part of human jobs. However, the approach of improving intelligent capability of single agent is not enough to achieve complicated tasks in ever-changing environments. Cooperative intelligence (CI) is regarded as a promising way to solve this problem. In this paper, we scientifically define the three key problems of achieving cooperative intelligence, which are cooperative perception, cooperative decision and cooperative learning. We illustrate each problem with a scenario of autonomous driving as well as a brief survey of related research works. Meanwhile, we propose a system architecture and components design of cooperative intelligence system for autonomous driving.
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Liu, J., Xiao, Y., Wu, J. (2020). From AI to CI: A Definition of Cooperative Intelligence in Autonomous Driving. In: Hsu, CH., Kallel, S., Lan, KC., Zheng, Z. (eds) Internet of Vehicles. Technologies and Services Toward Smart Cities. IOV 2019. Lecture Notes in Computer Science(), vol 11894. Springer, Cham. https://doi.org/10.1007/978-3-030-38651-1_7
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